Pesticide Data Program—Annual Summary, Calendar Year 2004 

# Pesticide Data Program Annual Summary Calendar Year 2004

United States Department of Agriculture

Agricultural Marketing Service

Science and Technology Programs 

## Visit our Web site at: www.ams.usda.gov/science/pdp/

February 2006Pesticide Data Program—Annual Summary, Calendar Year 2004 United States Department of Agriculture
Marketing and Regulatory Programs
Agricultural Marketing Service
1400 Independence Ave. Washington, DC 20250 

## February 2006

To the Reader:
I am pleased to present the Pesticide Data Program’s (PDP) 14 th

## Annual Summary, which includes data for calendar year 2004. PDP data continue to demonstrate that the Nation’s food suppl y is among the safest in the world.
The U.S. Department of Agriculture im plemented PDP in May 1991. Since then, PDP has tested a wide range of commodities in the U.S. food supply. Using a rigorous statistical approach to sampling and the most current laboratory methods, PDP has tested both fresh and processed fruit and vegetables , grains and grain products, milk and dairy products, beef, pork, poultry, drinking water, and bottled water (initiated in 2005) for pesticide residues.

PDP data are essential for the im plementation of the 1996 Food Quality Protection Act, which direct s the Secretary of Agriculture to collect pesticide residue data on foods most likely consumed by infants and children. The U.S. Environmental Protection Agency (EPA) us es PDP data as a critical component of dietary assessments of pesticide expos ure. The extensive and reliable PDP results provide realistic exposure information to the EPA assessment process.
PDP is a partnership with cooperating St ate agencies responsible for sample collection and analysis. Tw elve States participated in the program during 2004: California, Colorado, Florida, Maryland, Michigan, Minnesota, Montana, New York, Ohio, Texas, Washington, and Wi sconsin. Sound conclusions about our food supply can be drawn from PDP result s because together the sampling States represent all regions of the country and over half the Nation’s population.
The format of this Annual Summary is intended to provide the reader with thorough and accurate information. A detachable form is included following this letter for your comments and suggesti ons on how we can improve this report further.
Sincerely,

Lloyd C. Day Administrator

AMS-Agricultural Marketing Service
An Equal Opportunity Provider and EmployerPesticide Data Program—Annual Summary, Calendar Year 2004 

# Contents Page No.


## Acknowledgements ............................................................................................................... ................vii

Executive Summary .............................................................................................................. .................ix

Acronyms....................................................................................................................... .......................xii

Section I Introduction ..........................................................................................................................1

Section II Sampling Operations ..........................................................................................................4 Background.................................................................................................................... ............4 Fresh and Processed Fruit and Vegetables ................................................................................5 Grains: Soybeans and Wheat Flour ...........................................................................................6 Dairy: Milk ................................................................................................................... .............9 Drinking Water ................................................................................................................ ..........9

Section III Laboratory Operations ...................................................................................................11 Overview...................................................................................................................... ............11 Fresh and Processed Fruit and Vegetables ..............................................................................12 Soybeans and Wheat Flour ...................................................................................................... 13 Milk .......................................................................................................................... ...............13 Drinking Water ................................................................................................................ ........14 Quality Assurance Program..................................................................................................... 14

Section IV Database Management ....................................................................................................16 Electronic Data Pathway....................................................................................................... ...16 Data Reporting................................................................................................................ .........16

Section V Sample Results and Discussion ........................................................................................18 Sample Results................................................................................................................ .........18 National Estimates ............................................................................................................ .......20 Fresh vs. Processed........................................................................................................... .......20 Import vs. Domestic Residue Comparisons.............................................................................21 Ethephon Results .............................................................................................................. .......22 Postharvest Applications ...................................................................................................... ...22 Environmental Contaminants ..................................................................................................22 Multiple Pesticide Residue Detections ....................................................................................23 Tolerance Violations.......................................................................................................... ......23 Drinking Water Results ........................................................................................................ ...24 Synopsis...................................................................................................................... .............24

iiiPesticide Data Program—Annual Summary, Calendar Year 2004 

# Figures and Tables

FiguresPage No.

1 PDP Program Operations Support and Data Users ...........................................................2 2 Program Participants ........................................................................................................ ..3 3 Commodity Origin ............................................................................................................ .8 4 Origin of Selected Fresh Commodities: Cantaloupe, Cucumbers, and Grapes................10 5 Number of Samples Collected and Collection Sites for Soybeans—Crop Year 2003.....11 6 Location of Drinking Water Collection Sites at Community Water Systems..................12 7 PDP Data Pathway ...........................................................................................................1 7 8 Effects of Water Treatment on Atrazine Concentration in Drinking Water Samples ......25

Tables

1 PDP Commodity Collection Schedule for 2004 ................................................................5 2 Distribution of Samples Collected and Analyzed by Each Participating State..................7 3 Number of Samples Analyzed and Summary of Residues Detected by Commodity ......19 4 Selected Residue Comparisons for Fresh and Processed Commodities...........................21

Appendices A-L

Appendix A Commodity History Appendix B Distribution of Residues by Pesticide in Fruit and Vegetables Appendix C Distribution of Residues by Pesticide in Soybeans Appendix D Distribution of Residues by Pesticide in Wheat Flour Appendix E Distribution of Residues by Pesticide in Milk Appendix F Distribution of Residues by Pesticide in Drinking Water Appendix G Sample Origin by State or Country Appendix H Import vs. Domestic Pesticide Residue Comparisons Appendix I National Estimates for Concentration Percentiles vs. Tolerance Appendix J Cumulative Distributions of Residues for Selected Pesticide/Commodity Pairs Appendix K Number of Pesticides Detected per Sample Appendix L Fruit and Vegetable Samples Reported to FDA as Exceeding the Tolerance or Without Established Tolerance

vPesticide Data Program—Annual Summary, Calendar Year 2004 

# Acknowledgements
The States participating in the Pesticide Data Program (PDP) deserve special recognition for their contributions to the program. The dedication and flexibility of sample collectors allow the Agricultural Marketing Service (AMS) to adjust sampling protocols to respond to changing trends in commodity distribution and availability. PDP acknowledges the contributions of the State laboratories, U.S. Department of Agriculture’s (USDA) AMS National Science Laboratory and Grain Inspection, Packers, and Stockyards Administration Laboratory in providing testing services to the program and the National Agricultural Statistics Service for providing statistical support. PDP also acknowledges the exceptional support of the Health Effects Division staff of the U.S. Environmental Protection Agency, Office of Pesticide Programs, in helping set the direction for PDP.
Data presented in this report were collected and processed through the efforts of the following organizations:

Program Administration
Agricultural Marketing Service Science and Technology Programs 1400 Independence Ave., SW South Building, Mail Stop 0222 Washington, DC 20250
Deputy Administrator Science & Technology Programs: Robert L. Epstein (202) 720-5231, Facsimile (202) 720-6496
Monitoring Programs Office 8609 Sudley Rd., Suite 206 Manassas, VA 20110 Director: Martha Lamont (703) 330-2300 x17, Facsimile (703) 369-0678
Deputy Director: Diana Haynes (703) 330-2300 x34, Facsimile (703) 369-0678

Electronic-mail Address:
amsmpo.data@usda.gov Web Site:
http://www.ams.usda.gov/science/pdp/
Participating State Agencies
California Department of Food and Agriculture California Department of Pesticide Regulation Colorado Department of Agriculture Florida Department of Agriculture and Consumer Services Maryland Department of Agriculture Michigan Department of Agriculture Minnesota Department of Agriculture Montana Department of Agriculture New York Department of Agriculture and Markets Ohio Department of Agriculture Texas Department of Agriculture Washington State Department of Agriculture Wisconsin Department of Agriculture, Trade, and Consumer Protection

Participating Laboratories
California Department of Food and Agriculture Division of Inspection Services Chemistry Laboratory 3292 Meadowview Rd. Sacramento, CA 95832
Colorado Department of Agriculture Inspection & Consumer Services Division Laboratory Section 2331 West 31st Ave. Denver, CO 80211-3859
Florida Department of Agriculture and Consumer Services Chemical Residue Laboratory Building #3 3125 Conner Blvd. Tallahassee, FL 32399-1650
Florida Department of Agriculture and Consumer Services Chemical Residue Laboratory 500 3rd St., NW Winter Haven, FL 33881

viiPesticide Data Program—Annual Summary, Calendar Year 2004 

## Texas Department of Agriculture Pesticide Laboratory 1500 Research Parkway, Ste. B100 College Station, TX 77845
United States Department of Agriculture Grain Inspection, Packers & Stockyards Administration Technical Services Division 10383 North Ambassador Dr. Kansas City, MO 64153-1394
United States Department of Agriculture Agricultural Marketing Service National Science Laboratory 801 Summit Crossing Pl. Gastonia, NC 28054
Washington State Department of Agriculture Chemical and Hop Laboratory 21 N. 1st Ave., Ste. 106 Yakima, WA 98902 Michigan Department of Agriculture Laboratory Division 1615 South Harrison Rd. East Lansing, MI 48823-5224
Minnesota Department of Agriculture 601 North Robert Street St. Paul, MN 55101
Montana Department of Agriculture Laboratory Bureau McCall Hall, Montana State University Bozeman, MT 59717
New York Department of Agriculture And Markets Food Laboratory 1220 Washington Ave. State Office Campus, Bldg. 7 Albany, NY 12235
Ohio Department of Agriculture Consumer Analytical Laboratory 8995 East Main St. Reynoldsburg, OH 43068

viiiPesticide Data Program—Annual Summary, Calendar Year 2004 

## This summary of results for 2004 is the 14 th

## Annual Summary of the U.S. Department of Agriculture (USDA) Pesticide Data Program (PDP). In 1991, USDA was charged with designing andimplementing a program to collect data on pesticide residues in food. The responsibility for this program was given to USDA’s Agricultural Marketing Service (AMS).
Program Operations: AMS, through its Monitoring Programs Office (MPO), oversees the planning and policy development for PDP. MPO meets regularly with the U.S. Environmental Protection Agency (EPA) and other stakeholders (e.g., industry and grower groups) to establish program priorities and direction. Participating States have a prominent role in program planning activities and policy establishment, particularly policies relating to quality assurance (QA). The USDA National Agricultural Statistics Service (NASS) provides sampling support to PDP and statistically reliable data on chemical usage at the State level and collects economic data that link chemical usage with economic characteristics.

Data Uses: PDP data are used primarily by EPA to prepare realistic pesticide dietary exposure assessments as part of its ongoing effort to implement the 1996 Food Quality Protection Act (FQPA). PDP provides high-quality data on residues in food, particularly foods most likely consumed by infants and children, including minor crops. Minor crops are those grown on 300,000 acres or less in the U.S. – for example, many fruit and vegetable crops are defined asminor crops. PDP data are used in pesticide reregistration activities, in accordance with FQPA requirements.
PDP data are also used by the U.S. Food and Drug Administration (FDA), USDA’s Economic Research Service (ERS) and Foreign Agricultural Service (FAS), participating States, academicinstitutions, chemical manufacturers, environmental interest groups, food safety organizations, and groups within the private sector representing food producers. PDP data are used by the U.S. Government and agricultural community to examine pesticide residue issues that may affect good agricultural practices relating to integratedpest management objectives and U.S. trade, particularly in the competitive global market. PDPadditionally provides support for USDA’s participation in the Codex Alimentarius Commission.

Risk Assessment: In estimating the potential risks of consumption of pesticide residues from food, EPA uses a step-wise tiered approach. As a first step, EPA may use a conservative, worst-case scenario and assume that a pesticide is applied to the fullest extent permitted by the pesticide label; that is, on every acre of each approved crop at the maximum rate and frequency allowed. EPA also may assume that residues on treated crops are present at the maximum allowable level. Exposure estimates based on such assumptions are likely to significantly exceed actual exposure. When an initial assessment indicates a potential risk, EPArefines its assessment using more realistic exposure data. Refinements may include the use of additional data such as: (1) the percent of a crop treated with a pesticide; (2) studies of the effects of washing, cooking, processing, and storage; and (3) residue monitoring data. During the refinements of this exposure assessment, PDP data can be pivotal. PDP sampling procedures were designed tocapture residues in the food supply as close as possible to the time of consumption. PDP concentrates its efforts to provide realistic pesticide residue data on foods that are most often consumed by infants and children and incorporates recommendations made in 1993 by the National Academy of Sciences (NAS) in its report “Pesticides in the Diets of Infants and Children.”
Participants: In 2004, sampling and/or testing program operations were carried out with the support of 12 States: California, Colorado, Florida, Maryland, Michigan, Minnesota, Montana, New York, Ohio, Texas, Washington, and Wisconsin. Additionally, two Federal laboratories provided testing services: USDA’s AMS National Science Laboratory and the Grain Inspection, Packers, andStockyards Administration Laboratory. Participating water utilities provided drinking water samples which were tested by the Colorado, Montana, and New York State laboratories. MPO is responsible for administering the program, coordinating

ix 

# Executive SummaryPesticide Data Program—Annual Summary, Calendar Year 2004

x

## sampling activities, directing technical performance issues and quality assurance measures, and managing database activities.
Sampling: PDP commodity sampling is based on a rigorous statistical design which ensures that the data are reliable for use in exposure assessments and that they can be used to draw various conclusions about the Nation’s food supply. Pesticides and commodities included each year in PDP are selected based on EPA data needs and on information about the types and amounts of food consumed by infants and children. Fruit and vegetable samples collected by each of the 10 sampling States (California, Colorado, Florida, Maryland, Michigan, New York, Ohio, Texas, Washington, and Wisconsin) are apportioned according to that State’s population. Samples are randomly chosen close to the time and point of consumption (i.e., distribution centers rather that at farmgate) and reflect what is typically available to the consumer throughout the year. Samples are selected without regard to country of origin,variety, or organic labeling. The monthly sampling rate is 62 samples per commodity, except for highly seasonal commodities. For seasonal commodities, sampling rates are adjusted to reflect market availability.

Results: During 2004, PDP tested fresh and processed fruit and vegetables, soybeans, wheat flour, milk, and drinking water for various insecticides, herbicides, fungicides, and growth regulators. Of the 13,208 total samples collected and analyzed, 10,366 were fruit and vegetablecommodities including apples, cantaloupe, cauliflower, cucumbers, grapes, fresh and canned green beans, lettuce, oranges and orange juice,canned peaches, pears, canned spinach, strawberries, sweet bell peppers, sweet potatoes, tomatoes, and winter squash. PDP also tested 616 soybean, 725 wheat flour, 739 milk, and 762 drinking water samples.
Excluding soybeans and drinking water, 84 percent of all samples were domestic, 14 percent were imported, and about 1 percent was of unknown origin. Approximately eight percent of the orange juice samples were of mixed national origin. Overall, 76 percent of fresh fruit and vegetables and 40 percent of processed fruit and vegetables showed detectable residues. Residues were detected in 42 percent of soybean samples, 57 percent of wheat flour samples, and 100 percent of milk samples. Residue findings in milk were primarily low level residues of diphenylamine and the environmental contaminants DDE p,p’ and dieldrin. These findings are largely attributable to the recent improvements in analytical technologies and associated lower detection limits.
Of the 12,446 fruit and vegetable, soybean, wheat flour, and milk samples tested, 30 percentcontained no detectable pesticides [parent compound and metabolite(s) combined], 30 percent contained 1 pesticide, and 40 percent contained more than 1 pesticide. Fewer pesticides were found in processed products and grain than in fresh commodities. Low levels of environmental contaminants were detected in milk, lettuce, and spinach, usually at concentrations well below levels that trigger regulatory actions.
PDP testing found residues exceeding an established tolerance in 0.2 percent of the 12,446 samples (excluding drinking water). A tolerance is the maximum amount of a pesticide residue allowable on a raw agricultural commodity. Establishedtolerances are listed in the Code of Federal Regulations, Title 40, Part 180. Residues with no established tolerance were found in 5.2 percent of all samples (excluding drinking water). These residues were detected at very low concentrations and may be the result of spray drift, crop rotations,or the use of sanitizers in food handling establishments. PDP communicates these findings to FDA when they are reported by testing laboratories.
In finished drinking water, PDP detected low levels (measured in parts per trillion) of some pesticides, primarily widely used herbicides. Fifty-one different residues were detected in the untreated intake water and 38 different residues were detected in the finished water. The majority of pesticides included in the PDP testing profiles were not detected. None of the detections in the finished water samples exceeded established EPA Maximum Contaminant Levels (MCLs) or Health Advisory (HA) values, and there were noPesticide Data Program—Annual Summary, Calendar Year 2004 

## holders by hard copy, Internet, or custom reports generated by MPO. Additional copies of the PDP Annual Summary may be obtained by calling MPO at (703) 330-2300 or by mailing the form provided at the beginning of this report. This publication, the PDP database file for 2004, and annual summaries and database files for previous years are available on the PDP Web site at http:// www.ams.usda.gov/science/pdp

.

xi 

## detections for any of the pesticides with established Freshwater Aquatic Organism (FAO) criteria.
Data Availability: PDP continuously strives to improve methods for the collection, testing, and reporting of data. These data are freely available to EPA and other Federal and State agencies charged with regulating and setting policies on the use of pesticides. They are also available to all stake-Pesticide Data Program—Annual Summary, Calendar Year 2004
xii 

# Acronyms

% C.V. Percent Coefficient of Variation AMS Agricultural Marketing Service BQL Below Quantifiable Level EMRL Extraneous Maximum Residue Limit EPA Environmental Protection Agency ERS Economic Research Service ESA Ethane Sufonic Acid e-SIF Electronic-Sample Information Form FAO Fresh Aquatic Organism FAPAS Food Analysis Performance Assessment Scheme FAS Foreign Agricultural Service FDA Food and Drug Administration FFDCA Federal Food, Drug, and Cosmetic Act FGIS Federal Grain Inspection Service FIFRA Federal Insecticide, Fungicide, and Rodenticide Act FQPA Food Quality Protection Act GC Gas Chromatography GIPSA Grain Inspection, Packers, and Stockyards Administration GLP Good Laboratory Practices HA Health Advisory HPLC High Performance Liquid Chromotography LIB Laboratory Information Bulletin LOD Limit of Detection LOQ Limit of Quantitation MCL Maximum Contaminent Level MPO Monitoring Programs Office MRL Maximum Residue Limit MRM Multiresidue Methods MS Mass Spectrometry NASS National Agricultural Statistics Service NSL National Science Laboratory OA Oxanilic Acid PAM Pesticide Analytical Manual PDP Pesticide Data Program ppb parts per billion ppm parts per million ppt parts per trillion PT Proficiency Testing QA Quality Assurance QAO Quality Assurance Officer QAU Quality Assurance Unit QC Quality Control RDE Remote Data EntryPesticide Data Program—Annual Summary, Calendar Year 2004
xiii 

## SAM Single Analyte Method SIF Sample Information Form SOP Standard Operating Procedure SPE Solid Phase Extraction SSL Secure Sockets Layer TPM Technical Program Manager USDA United States Department of Agriculture USGS United States Geological SurveyPesticide Data Program—Annual Summary, Calendar Year 2004 1 

# I. Introduction
The Pesticide Data Program (PDP), which wasinitiated in 1991 to collect data on pesticide residues in food, now has an important role in theimplementation of the 1996 Food Quality Protection Act (FQPA). This law directs the Secretary of Agriculture to collect pesticide residue data on commodities most frequently consumed by infants and children. PDP data are used primarily by the U.S. Environmental Protection Agency (EPA) to assess dietary exposure during the review of the safety of existing pesticide tolerances (maximum residue limits).

Because PDP collects data on food commoditiesprimarily for exposure assessment, program operations differ markedly from those followed by regulatory monitoring programs for tolerance enforcement. PDP samples are collected closer tothe point of consumption and are prepared emulating consumer practices. Sampling is based on EPA data needs and does not impede commodity distribution. Laboratory operations are designed to achieve the lowest detectable levels rather thanquick sample turn around. As a dietary risk assessment support program, PDP focuses its pesticide testing on registered uses for the commodities in the program rather than screening for all potential illegal uses.
Figure 1 (a) illustrates PDP program policy development and planning operations. Primary contributors to these activities include the participatingStates, EPA, USDA’s National Agricultural Statistics Service (NASS), and additional stakeholders including industry and grower groups. Figure 1 (b) depicts PDP primary data users including EPA, the U.S. Food and Drug Administration (FDA), USDA’s Economic Research Service (ERS) and Foreign Agricultural Service (FAS), participatingStates, academic institutions, chemical manufacturers, environmental interest groups, food safety organizations, and groups within the private sector representing food producers. Additionally, other Government agencies and industry have used PDP data to promote the export of U.S. commodities to international markets, and the Codex Alimentarius Commission has used PDP data in its own dietary risk assessments.
In 2004, all samples except soybeans and drinking water were collected by 10 States (California, Colorado, Florida, Maryland, Michigan, New York, Ohio, Texas, Washington, and Wisconsin)through cooperative agreements with their respective State agencies. Soybean sampling wasperformed by USDA Federal Grain Inspection Service (FGIS) inspectors. Water sampling was conducted by participating drinking water treatment facility personnel in six States (Michigan, NorthCarolina, Ohio, Oregon, Pennsylvania, and Washington). Laboratory services were provided by 10 States (California, Colorado, Florida, Michigan, Minnesota, Montana, New York, Ohio, Texas, and Washington) and 2 Federal laboratories: USDA’s Agricultural Marketing Service (AMS) NationalScience Laboratory (NSL) and the Grain Inspection, Packers, and Stockyards Administration(GIPSA) Laboratory. The AMS Monitoring Programs Office (MPO) is responsible for administrative, sampling, technical, and database activities.
Figure 2 shows the 12 States that participate in thesampling and/or testing of PDP fruit and vegetable, wheat flour, whole milk samples, and drinking water, as well as the 13 neighboring States that arein the direct distribution networks of the PDP participating States. Together, these States represent about 50 percent of the Nation's population and all4 census regions of the U.S. These States also represent the major producers of fruit and vegetables in the U.S. Milk samples are collected by PDP participating States. Soybean samples are selectedin consultation with FGIS and water sites are chosen in collaboration with EPA based on data needs.
AMS works closely with EPA to select commodities and pesticides for PDP testing. Commodities 

# Pesticide Data Program (PDP) Annual Summary, Calendar Year 2004
This summary consists of the following sections : (I.) Introduction, (II.) Sampling Operations, (III.) Laboratory Operations, (IV.) Database Manage ment, and (V.) Sample Results and DiscussionPesticide Data Program—Annual Summary, Calendar Year 2004 2 

## Figure 1. PDP Program Operations Support and Data Users. This figure illustrates (a) agencies/groups that support PDP program policy and planning activities, and (b) agencies/ groups that used PDP data. Refer to the list of acronyms for further explanation of groups. 

# Industry and Grower Groups

Academic Institutions Other Government

Agencies

Agricultural Industry CODEX

Chemical Manufacturers,

Environmental Interest

Groups, Food Safety Organizations (a) PDP Policy and Pl anning Contributions

(b) PDP Data Users 

# Participating States

National Agricultural Statistics Service Environmental Protection

Agency

Food and Drug Administration Participating States Environmental Protection

Agency

Foreign Agricultural Service Economic Research ServicePesticide Data Program—Annual Summary, Calendar Year 2004 3 

## selected are those representing the highest U.S. consumption, with an emphasis on foods consumed by infants and children. Appendix A details the commodity history in PDP from the beginning of the program in 1991 through 2005.
Fruit and vegetable samples are collected at terminal markets and large chain store distribution centers from which food commodities are supplied to supermarkets and grocery stores. Sampling at these locations allows for residue measurementsthat include pesticides applied during crop production and those applied after harvest (such as fungicides and growth regulators) and takes intoaccount residue degradation while food commodities are in storage. Participation as a PDP sampling site is voluntary, which sets it apart from State and Federal enforcement programs. In 2004, more than 700 sites granted access and provided information, including site volume data, to sample collectors. This voluntary cooperation is important to PDP and makes it possible to adjust sampling protocols in response to fluctuations in food distribution and production.
Pesticides screened by PDP include those with current registered uses and compounds for which toxicity data and preliminary estimates of dietary exposure indicate the need for more extensive residue data. PDP also monitors pesticides for which EPA has instituted modified use directions (i.e., reduced application rates or frequency) aspart of risk mitigation requirements. The following appendices list the specific pesticides tested in the program: fruit and vegetables (Appendix B), soybeans (Appendix C), wheat flour (Appendix D), milk (Appendix E), and drinking water (Appendix F). Nevada Idaho Wyoming

New Mexico

Hawaii Alaska V ir

g

in

i a 

### Delaware Connecticut Massachusetts Michigan Vermont

New Jersey



## Figure 2. Program Participants. During 2004, AMS established coopera tive agreements with 12 States to sample and/or test PDP commodities. State laborat ories are responsible for analyzing fresh and processed fruit and vegetable samples and drinking water samples. The Federal laboratory in Gastonia, North Carolina, analyzes meat, poultry, and dairy products, and th e Federal laboratory in Kansas City, Missouri, analyzes whole and processed grain products. States that do not participate in PDP’s sampling program but are in the direct distribution networks of the participating States are also shown. New York



### Texas California

Oklahoma Washington

Wisconsin



### Florida

States participating in PDP Minnesota

States where produce is directly marketed from participating States
Location of participating State (white stars)/Federal (black stars) Laboratories 

### Maryland Colorado Ohio MontanaPesticide Data Program—Annual Summary, Calendar Year 2004 4 

# II. Sampling Operations

♦Background
The goal of the PDP sampling program is to obtain a statistically defensible representation of the U.S. food supply. PDP data will subsequently reflect actual pesticide residue exposure from food. Using a rigorous statistical design, PDP has developed extensive procedures to ensure that samples are randomly selected from the national food distribution system and reflect what is typically available to the consumer.
Fruit and vegetables, processed grain, and dairy products are collected by trained State inspectorsat terminal markets and large chain store distribution centers throughout the country. Whole grain samples are collected from trains, trucks, and barges by trained USDA FGIS inspectors. Drinking water samples are collected by trained personnel at individual water treatment facilities at selected sites across the country. At these locations, information is usually available about the identity and origin of the sample. Sample information is captured at the time of sample collection for inclusion in PDP files.
PDP sample origin data identify the State or Country where the commodity was produced and a comparison of PDP sample origin data to State production and import data by USDA’s NASS shows that PDP sampling is representative of the U.S. food supply. PDP sampling operations are adjusted according to product availability. The number of fruit, vegetable, wheat flour, and milk samples collected in each participating State is determined by State population. The number and location of collected grain samples is determinedby annual domestic production figures. For drinking water, each local watershed has its own unique characteristics; therefore, sample collection for this commodity is not intended to reflect national trends. In this case, PDP collects samples in areas where it is known that targeted pesticides are heavily used. The quarterly collection schedule for all 2004 commodities is shown in Table 1.
Sample collectors are trained to adhere to detailed program Standard Operating Procedures (SOPs) that outline proper packaging techniques and shipping procedures for each commodity type.SOPs for PDP sampling are available on the Internet at www.ams.usda.gov/science/pdp . The SOPs provide criteria for site selection and specific instructions for sample selection, shipping and handling, and chain-of-custody. SOPs are updated as needed and serve as a technical reference in conducting program sampling reviews to ensure that program goals and objectives are met.
Fruit, vegetable, and milk samples are packed in heavy-duty, temperature-controlled containers. Samples are shipped the same day as collection by overnight delivery to ensure that the selected commodities maintain their original integrity until they are received at their respective laboratory foranalysis. Frozen cold packs are included in shipping containers, when necessary, so that holding temperatures are preserved throughout transit time. Grain samples are collected in pesticide-free bags or pouches and are shipped the same day as collection to the laboratory where the samples are frozen pending analysis. Drinking water samplesare collected in specially prepared bottles containing dechlorinating agents to halt any potentialcompound degradation, packed with proper cushioning and cold packs, and shipped the same day as collection to their respective laboratory by overnight delivery.
PDP Sample Information Forms (SIFs) are used for chain-of-custody and to capture informationneeded to characterize the sample. Sample collectors use the forms to record information such as: (1) State of sample collection; (2) collection date; (3) sampling site code; (4) commodity code; and (5) testing laboratory code. Information from these five data elements is combined to form a unique PDP sample identification number for each sample. Other available information about each sample is recorded also, such as collectorname, the State or country of origin, product variety, production claims such as organic, and any postharvest chemical applications. An electronic SIF (e-SIF) capturing system was implemented in 2003 and continues to be used to record relevantsample information. Refer to Section IV on Database Management for more information on the eSIF system.Pesticide Data Program—Annual Summary, Calendar Year 2004 5 

## ♦Fresh and Processed Fruit and Vegetables
Of all samples collected and analyzed in 2004, approximately 78 percent (10,366 of 13,208) were fruit and vegetables, including fresh and processed products. The fresh commodities collected for PDP were apples, cantaloupe, cauliflower, cucumbers,grapes, green beans, lettuce, oranges, pears, strawberries, sweet bell peppers, sweet potatoes, tomatoes, and winter squash. The processedcommodities included canned green beans, ready-toserve orange juice, canned peaches, and canned spinach. All fresh and frozen fruit and vegetable samples weighed either 3 or 5 pounds. The sample weight of canned commodities may vary, butusually ranged from 1 to 3 pounds. For largesized commodities, such as cauliflower and cantaloupe, a minimum of two units were collected to maintain sample representativeness.
Samples are routinely collected at either terminal markets or large chain store distribution centers. Surrogate or “proxy” sites (retail markets) are occasionally used to collect samples when the commodity of interest is unavailable at a terminal market or distribution center. In these cases, the commodity is selected in the rear storage area of the retail facility so the possible contamination by Table 1. PDP Commodity Collection Schedule for 2004. Samples are most often collected for a 2-year time period. Commodities are initia ted or terminated in different quarters of the year, so that new commodities are not bro ught into the program all at the same time. This graph illustrates time ranges for the lis ted commodities. See Appendix A for the complete PDP commodity history from May 1991 through December 2005. Commodity Jan-Mar Apr-Jun Jul-Sep Oct-Dec
Apples * X X X X Cantaloupe * X X X X
Cauliflower * X
Cucumbers X X X Grapes * X X X X Green Beans, Canned X Green Beans, Fresh * X X X
Lettuce * X X X X
Milk * X X X X Orange Juice * X Oranges * X X X X Peaches, Canned X X X X
Pears * X X X X Soybean Grain ** X X X Spinach, Canned X X
Strawberries * X X X X Sweet Bell Peppers X X X
Sweet Potatoes X X X
Tomatoes X X X X Water, Finished * X X X X Water, Untreated * X X X X
Wheat Flour X X X X Winter Squash * X X * Sampling continued in 2005. * Soybeans were collected in the 2003 Crop Year (Sep 2003-Aug 2004)Pesticide Data Program—Annual Summary, Calendar Year 2004 6 

## the consumer is eliminated and to allow capture of sample information from the product boxes. In2004, approximately 4 percent of PDP commodities were collected at proxy sites. The commodities most often collected at proxy sitesincluded: milk, wheat flour, canned fruit or vegetables (canned peaches, canned spinach, and canned green beans), and orange juice.
Participating State agencies compile and maintain lists of sampling sites. The States provide the AMS and NASS with annual volume information for commodities distributed at each site. This information is used to weight the site to determine the probability for sample selection. For example,a weight of 10 may be given to a site that distributes 100,000 pounds of produce annually and a weight of 1 is given to a site that distributes10,000 pounds. The probability-proportionate-tosize method of site selection then results in the larger site’s being 10 times more likely to be selected for sampling than the smaller site.
Participating States work with NASS to developstatistical procedures for site weighting and selection. States are also given the option of having NASS perform their quarterly site selection. Thenumber of sampling sites and the volume of produce distributed by the sites vary greatly between States. Sampling plans that include sampling dates, sites (primary and alternate), targeted commodities, and testing laboratories are prepared by each State on a quarterly basis. Collection of commodities is randomly assigned to weeks of the month, prior to selection of specific sampling dates within a week. Because sampling sites are selected for an entire quarter, States may assign the sites to particular months based on geographic location.
State population figures are used to assign the number of fruit and vegetable samples scheduled for collection each month. These population- and distribution-network-based numbers result in the following monthly collection assignments for each State: California, 14; Colorado, 2; Florida, 7; Maryland, 4; Michigan, 6; New York, 9; Ohio, 6; Texas, 8; Washington, 4; and Wisconsin, 2. This schedule results in a monthly target of 62 samples per commodity, or 744 samples per commodity per year. A total of 10,366 fresh and processed fruit and vegetable samples were collected and analyzed during 2004. The number of samples collected in each State is listed in Table 2. Figure 2 illustrates the participating States and the laboratories to which samples were shipped. The total number of samples per commodity and the percentage of each that were either domestic, imported, or of unknown origin are shown in Figure 3. The origin of some fresh commodities can vary greatly throughout the year. Graphic examples of thisvariation may be found in Figure 4 where differences in origin (domestic vs. import) are depicted for fresh cantaloupe, cucumbers, and grapes by month. Fruit and vegetable samples originatedfrom 39 States plus Washington, D.C., and 22 foreign countries (Appendix G). Results of all vegetable and fruit analyses are tabulated in Appendix B.

♦ Grains: Soybeans and Wheat Flour
USDA FGIS inspectors collected 616 soybean samples for the 2003 crop year (September 2003through August 2004). The sample collection period was divided into two collection phases:October 2003 through February 2004 (466 samples) and April 2004 through August 2004 (150 samples). Sample collection rates, on a statewidebasis, were calculated on the basis of crop production totals averaged over a 3-year period. Samples were drawn from trucks (26% of samples), hopper cars (49% of samples), and barges (25% of samples). Soybeans slated for export wereexcluded from the sampling scheme. PDP chainof-custody procedures are similar to those used for fruit and vegetable samples. Sample informationfor soybeans included: inspection location, inspection point code, field office location, official agency collecting the sample, carrier identification (truck, barge, or railcar), State of origin, collection date, quantity of lot sampled, and inspector’s name. Pesticide residue analysis was performed bythe GIPSA Technical Services Division Laboratory located in Kansas City, Missouri. Soybeansamples originated from 21 States and were collected through 8 regional GIPSA offices. There were no imported soybean samples; all were ofdomestic origin. The origin and number of samples collected from each State is displayed in Figure 5; sample results may be found in Appendix C.Pesticide Data Program—Annual Summary, Calendar Year 2004 7 

## Table 2. Distribution of Samples Collected and Analyzed by Each Participating State. This table includes those commodities collected at terminal markets and distribution centers. The distribution of soybean and drinking water samples may be found in Figures 5 and 6, respectively. AP = Apples GR = Grapes SC = Spinach (Canned) CC = Peaches (Canned) LT = Lettuce ST = Strawberries
CF = Cauliflower MK = Milk SW = Sweet Potatoes CN = Cantaloupe OG = Oranges TO = Tomatoes
CU = Cucumbers OJ = Orange Juice WF = Wheat Flour
GB = Green Beans PE = Pears WS = Winter Squash GC = Green Beans (Canned) PP = Sweet Bell Peppers 

### Commodity Legend State AP CF CN CU GB GR LT OG PE PP ST SW TO WS Total Fresh California 168 42 168 126 126 168 168 168 168 126 168 168 168 84 2,016
Colorado 24 6 24 18 18 24 24 24 25 18 24 24 24 12 289
Florida 84 21 84 63 63 84 84 84 84 63 84 84 84 42 1,008 Maryland 48 12 47 36 35 44 48 47 48 36 43 48 48 18 558 Michigan 72 18 72 54 54 72 72 72 72 54 72 72 72 36 864
New York 108 27 108 81 81 108 108 108 108 81 108 108 108 54 1,296
Ohio 72 18 71 54 46 72 72 72 69 54 67 72 72 35 846
Texas 96 24 96 72 72 96 96 96 96 72 96 96 96 48 1,152 Washington 48 12 48 36 35 48 48 48 48 36 46 48 48 24 573

Wisconsin 24 5 24 17 18 23 23 23 23 18 23 23 24 11 279
744 185 742 557 548 739 743 742 741 558 731 743 744 364 8,881

CC GC OJ SC Total Processed Total Fresh & Processed F&V 168 42 42 84 336 2,352
24 6 6 12 48 337 84 21 21 42 168 1,176
48 12 12 24 96 654 72 18 18 36 144 1,008 108 27 27 54 216 1,512
72 18 18 36 144 990 96 23 24 48 191 1,343
48 12 12 24 96 669
23 6 6 11 46 325 743 185 186 371 1,485 10,366 State
California Colorado
Florida Maryland Michigan
New York Ohio
Texas Washington
Wisconsin MK
166
23
83
48
72
105
72
92
48
16
725 WF
168
23
84
48
71
105
72
96
48
24
739 Fresh Fruit and Vegetables

Processed Fruit and Vegetables Dairy Product Grain ProductPesticide Data Program—Annual Summary, Calendar Year 2004 8 

### Strawberries (731 Samples) 

### Fresh Fruit and Vegetable Commodities

Apples (744 Samples) Cantaloupe (742 Samples) Cauliflower (185 Samples)

Domestic 97.8% Domestic 53.1% Domestic 91.7%

Import 46.4% Import 7.9% Unknown 0.5%



### Cucumbers (557 Samples) Grapes (739 Samples) Green Beans (548 Samples

Unknown 0.4% Domestic 52.8%

Import 46.8% Domestic 87.8% Domestic 51.3%

Import 46.2% Unknown 2.5%



### Lettuce (743 Samples) Oranges (742 Samples) Pears (741 Samples)

Unknown 0.1% Domestic 93.7%

Import 6.2% Domestic 86.1% Domestic 98.9%

Import 12.8% Unknown 1.1%



### Sweet Potatoes (734 Sampl Sweet Potatoes (743 Sampl

Unknown 0.8%

Import 0.7% Domestic 98.5% Domestic 94.1%

Import 5.9% Import 1.1% Import 7.7% Unknown 4.5%



### Sweet Bell Peppers (558 Samples) Unknown 0.4%

Import 2.2%

Unknown 2.1%

Import 27.6% Domestic 70.3% 

### Green Beans (548 Samples)

Sweet Potatoes (743 Samples)



### Tomatoes (744 Samples) Peaches (751 Samples)

Domestic 84.1% Domestic 67.2%

Import 28.4% Unknown 1.6% Unknown 4.4%

Import 14.3% 

### Winter Squash (364 Samples)



### --ContinuedPesticide Data Program—Annual Summary, Calendar Year 2004 9 

## PDP collected and analyzed 725 samples of bleached, white, enriched wheat flour. Wheat flour originated from 24 States (98% of total) and 2 foreign countries (<1% of total). Less than one percent of the samples were of unknown origin. Refer to Appendix G for detailed sample origin information. Five-pound samples of pre-packaged wheat flour were collected from routine PDP sampling sites (distribution centers and terminal markets); sample collection and chain-of-custody procedures were the same as described above for fruit and vegetables. Wheat flour analyses were performed by the GIPSA Laboratory in Kansas City, Missouri. Results for wheat flour are shown in Appendix D.

♦Dairy: Milk
In 2004, 739 whole milk samples were collected in 10 participating States, primarily from distribution centers or supermarkets that received milk from 24 different States.
Seventy-four percent of milk samples were collected at retail distribution centers and 26 percent of the samples were collected at proxy sites (supermarkets or retail stores that receive product directly from their distribution centers). Selection of proxy sites for milk sample collection is based on a store’s close geographic proximity to its milk distribution center. Sample collection States are found in Table 2 and distribution by origin isfound in Appendix G. Shipment and chain-ofcustody procedures were the same as for fruit and vegetable samples. Pesticide residue analysis for all samples was performed by the AMS NSL in Gastonia, North Carolina. Results are shown in Appendix E.

♦ Drinking Water
PDP collected 762 drinking water samples from community water systems in Michigan, North Carolina, Ohio, Oregon, Pennsylvania, and Washington. Samples were collected bimonthly by water treatment facility personnel and sent to State laboratories in Colorado, Montana, and New York for analysis. Samples included water collected from both the raw water intake and thefinished drinking water after treatment. The untreated intake water and treated water were collected as paired samples, taking into accounteach individual plant’s processing time. Dechlorinating and preservative chemicals were Figure 3. Commodity Origin. This figure depicts the proportion of commodity origin for each fresh and processed fruit and vegetable product tested in 2004 and is representative of the national market. Processed Fruit and Vegetable Commodities (continued)

Green Beans Peaches (751 Samples)

Domestic 89.8% Domestic 95.7%

Import 4.3% Mixed National 8.1%

Import 2.1%



### Green Beans (743 Samples)

Unknown 1.5% Domestic 96.9%

Import 1.6% 

### Peaches, Canned (743 Samples) 

### Spinach

Domestic 98.7%

Import 0.5% Unknown 0.8% 

### Orange Juice (186 Samples) Green Beans, Canned (185 Samples)

Spinach, Canned (371 Samples)Pesticide Data Program—Annual Summary, Calendar Year 2004 10 

## Origin of Cantaloupe Samples

0 10 20 30 40 50 60 70

JA N FE B M AR A PR M A

Y JU N JU L AUG S EP O C

T NO V D ECNumber of Samples



# Origin of Cucumber Samples

0 10 20 30 40 50 60

JAN FEB M A

R APR M A

Y J U

N JUL A U

G SE PNumber of Samples



# Origin of Grape Samples

0 10 20 30 40 50 60 70

JAN FEB M AR A PR MAY JUN J U

L AUG S EP O CT N OV D ECNumber of Samples 

### Domestic
Imported



## Figure 4. Origin of Selected Fresh Commodities: Cantaloupe, Cucumbers, and Grapes. Differences in origin (domestic vs. import) are illustrated by month. The targeted number of samples is 62 per month for each commodity. *

* Cucumber sampling ended in September 2004.Pesticide Data Program—Annual Summary, Calendar Year 2004 11 

## added to the samples. Samples were packed with frozen cold packs and shipped overnight to the testing laboratories.
Since the inception of the water program, PDP has completed two years of sampling at sites in California, Colorado, Kansas, New York, and Texas. New sampling sites were chosen for 2004- 2005. Site selection was made in collaboration with EPA’s Environmental Fate and Effects Division. All selected sites met the following criteria: (1) service to populations under 50,000; (2) use of surface water as the primary source of water; and (3) location in regions of heavy agriculture where known amounts of pesticides were applied. Water treatment method was not part of the selection criteria. General locations of water collection sites and testing laboratories are illustrated in Figure 6 and results are shown in Appendix F. 

# III. Laboratory Operations

♦Overview
Thirteen laboratories (11 State and 2 Federal) performed analyses for PDP. These laboratories are equipped with instrumentation capable of detecting residues at very low levels. Laboratory staff members receive intensive training and must demonstrate analytical proficiency on a periodic basis. Program scientists continuously test new technologies and develop new techniques to improve the levels of detection. Major changes in methodology are evaluated and their soundness demonstrated and documented in accordance with PDP SOPs.

Figure 5. Number of Samples Collected and Gr ower States for Soybeans — Crop Year 2003. A total of 616 soybean samples were collected betw een September 2003 and August 2004. The samples originated from 21 States and were collected in proportion to their production volumes. Residue testing for all samples was performed by the Grain Inspection, Packers, and Stockyards Administration Laboratory, located in Kansas City, Missouri. Michigan

South Dakota

Iowa Minnesota

Arkansas North Dakota

A l a b a m a 1

8 4

9 5

1 8

4 15 12

14

14

19 122 60 42 106 38

38 64

32

Ohio

L o u i s i a n a

States where more than 30 samples were grown

States where less than 30 samples were grown

GIPSA laboratory—Kansas City, MO M i s s i s s i p p i Kansas M i s s o u r i Wisconsin

Nebraska Montana

Illinois

I n di a na

N

. C a

r o

l in

a T

e n n essee

K

e

n t uc

k y V ir

g

in

i aPesticide Data Program—Annual Summary, Calendar Year 2004 12 

## ♦Fresh and Processed Fruit and Vegetables
PDP participating laboratories analyzing fruit andvegetables monitored 175 pesticides plus 56 metabolites, degradates, and isomers using multiresidue methods (MRMs). Upon arrival at the testing facility, samples are visually examined for acceptability and discarded if determined to be inedible (decayed, extensively bruised, or spoiled). Accepted samples are prepared emulating the practices of the average consumer to more closelyrepresent actual exposure to residues. Fresh samples are prepared as follows: (1) apples and pears are washed with stems and cores removed; (2) cantaloupes are cut in half and seeds and rinds areremoved; (3) cauliflower is washed and the wrapper leaves are removed; (4) cucumbers and winter squash are washed and inedible portions are removed; (5) grapes and green beans are washed and stems and extraneous materials are removed; (6) lettuce is washed, wrapper leaves are removed(head lettuce only), and damaged portions are removed; (7) oranges are peeled and excess white membrane is removed; (8) strawberries are rinsed and stems and leaves are removed; (9) sweet bell peppers are washed with stems, cores, and seeds removed; (10) sweet potatoes are washed, gently scrubbed with a vegetable brush, rinsed, and woody stems are removed; and (11) tomatoes are washed and stems removed. Processed samplesare prepared as follows: (1) fresh and reconstituted orange juices are mixed until homogeneous; and (2) canned and frozen fruit and vegetables are homogenized with their entire contents, including any liquid present.
Laboratories are permitted to refrigerate incoming fresh fruit and vegetable samples of the samecommodity for up to 72 hours to allow for different sample arrival times from collection sites. Frozen and canned commodities may be held in storage (freezer or shelf) until the entire sampleset is ready for analysis. Samples are homogenized using choppers and/or blenders and are separated into analytical portions (aliquots) foranalysis. If testing cannot be performed immediFigure 6. Location of Drinking Water Coll ection Sites at Community Water Systems. A total of 16 water treatment facilities in the U.S. were sample d in paired units (coordinated treated and untreated samples). Sites represent areas of varied geographical settings bu t are located in watersheds where pesticides were known to have been heavily applied. Michigan

N

. C ar

o

li na 2

4

3 1 

### Ohio Washington

3 3



### Montana

Colorado

Sampled States (# of Sites)

Location of State laboratories that perform sample analysis N e w

Y

o r k 

### Oregon

P en ns y l v aniaPesticide Data Program—Annual Summary, Calendar Year 2004 13 

## ately, the entire analytical set is frozen at -40°C or lower, according to PDP’s Quality Assurance/ Quality Control (QA/QC) requirements. Surplus aliquots not used for the initial testing are retained frozen in the event that replication of analysis or verification testing is required.
For analysis of fruit and vegetables, variations and combinations of the FDA Luke I [Section 302 of Pesticide Analytical Manual (PAM) I] and Luke II [FDA Laboratory Information Bulletin (LIB) 3896] extraction procedures were used by PDP laboratories in Ohio and Texas. The California,Florida (Winter Haven), and Washington laboratories used modifications of the MRM developedby the California Department of Food and Agriculture. The New York laboratory used a method based on the Agriculture and Agri-Food Canada solid phase extraction (SPE) method with some modifications based on the Luke procedure. The Florida (Tallahassee) and Michigan laboratories used a modified version of the QuEChERS method, developed and published in July 2003 by USDA ARS. All MRMs are determined, throughmethod validation procedures, to produce equivalent data for PDP analytical purposes. Residues are extracted from samples with the use of organic solvents followed by various cleanup procedures such as SPE.
Gas chromatography (GC) and liquid chromatography (LC), coupled with selective detectors and mass spectrometry (MS) systems, are used forthe initial identification and quantitation of pesticides. Laboratories are increasing their use of GCand LC/MS-MS tandem systems and are specifically focusing on LC/MS techniques to broadenthe scope of testing and to keep pace with emerging analyte chemistries. All residues initially identified must be verified. Confirmation is accomplished by MS, alternate detection systems, or alternate chromatographic behavior. Verification is considered crucial due to the complexity of commodity matrices and the low concentration levels of detected residues. The verification process provides an extra measure of confidence in the identification of both the pesticide residue and its concentration.

Triazoles – Strawberries: In addition to analyzing strawberries and sweet potatoes using MRMs, the Michigan laboratory monitored triazole fungicides including three metabolites, 1,2,4-triazole,triazole acetic acid, and triazole alanine in strawberries. The analyses were performed using LC coupled with tandem MS in order to achieve the low parts per billion (ppb) detection limits required for dietary risk assessment. Testing forthe three common metabolites required development of special analytical techniques in additionto the more conventional PDP multiresidue methods. The remaining target triazole fungicide parent compounds, isomers, and other metabolites were determined by GC coupled with MS detection or LC/MS-MS.

Ethephon – Fresh Fruit: In 2004, apple and grape sample homogenates were tested forethephon by the Minnesota laboratory. The samples were prepared as described in the fresh fruit and vegetables section above. Aliquots of thehomogenates were frozen and shipped to the Minnesota laboratory on a monthly basis. The Minnesota laboratory used a single analyte method (SAM) to extract ethephon from apple and grapesamples and analyses were performed by headspace GC with flame ionization detection.

♦Soybeans and Wheat Flour
The USDA GIPSA laboratory in Kansas City,Missouri, monitored soybean samples for 67 pesticides plus 16 metabolites and isomers and wheatflour samples for 55 pesticides plus 16 metabolites and isomers. On arrival at the testing facility, samples are visually examined for acceptability and discarded if spoiled (e.g., moldy, rotten). Soybean samples were ground before being analyzed. Surplus sample aliquots, not used for the initial testing, were retained refrigerated in the event that replication of analysis or verification testing was required. Extraction of soybean andwheat flour samples was accomplished using solvent extraction and SPE cleanup coupled with MS detection.

♦Milk

The AMS NSL in Gastonia, North Carolina, tested milk samples for 70 pesticides plus 18metabolites, degradates, and isomers. Upon arrival at the testing facility, samples were visuallyPesticide Data Program—Annual Summary, Calendar Year 2004 14 

## examined for acceptability and discarded ifspoiled. Samples were refrigerated until preparation for analysis. Generally, 1 quart to 1 gallon samples were received. Because the milk samples received were homogenized, further mixing at the laboratory was not required. A 100-gram aliquotwas weighed and extracted using solvent extraction followed by SPE cleanup. Three 100-gram aliquots were weighed, frozen, and kept in reservein the event that replication of analysis or verification testing was required. Surplus milk remaining after the four aliquots were taken was then discarded. Samples were analyzed using MS detection, selective detectors, or post-columnderivatization high performance liquid chromatography (HPLC).

♦Drinking Water

The Colorado, Montana, and New York laboratories analyzed drinking water for approximately 182 pesticides plus 51 metabolites and isomers.These compounds were determined to be of interest to EPA. Paired samples of the raw intake water (untreated) and disinfected finished drinking water (treated) were collected for analysis. Treated water samples were collected after the untreated samples at a time interval consistent with the hydraulic residence. Hydraulic residence is the average time from entry into the treatment facility until discharge as treated water.
Each sample consisted of three 1-liter amber glass bottles collected at the water treatment facility. Upon arrival at the testing laboratory, sampleswere visually examined for acceptability and discarded if warm to the touch or leaking. Sampleswere refrigerated until time of analysis and extracted within 96 hours of collection. A 1-liter bottle was extracted for compounds amenable to GC analysis and one for compounds amenable toLC analysis. The remaining bottle was held in reserve or extracted for specialty compounds requiring separate extraction/analytical procedures [e.g., ethane sulfonic acid (ESA) and oxanilic acid (OA) analogs of alachlor, acetochlor, and metolachlor]. Extraction methods used were based on SPEmethods developed by the United States Geological Survey (USGS) and were independently validated by each testing laboratory. Samples were analyzed using MS detection (single and tandem GC and LC technologies), selective detectors, or post-column derivatization HPLC detection systems.

♦Quality Assurance Program
The primary objectives of the QA/QC program are to ensure the reliability of PDP data and theperformance equivalency of the participating laboratories. Direction for the PDP QA program isprovided through SOPs based on EPA Good Laboratory Practices (GLPs). Written SOPs provide uniform administrative, sampling, and laboratoryprocedures. SOPs are revised annually to accommodate changes in the program. Prior to submission to PDP, data are reviewed by each Quality Assurance Unit (QAU) for completeness and adherence to PDP requirements.
Laboratory Technical Advisory Group and Quality Assurance Officers: A Technical Advisory Group comprised of laboratory Technical Program Managers (TPMs) and Quality AssuranceOfficers (QAOs) is responsible for annually reviewing program SOPs and addressing QA issues. For day-to-day QA oversight, PDP relies on the QAU at each participating facility. As required under EPA GLPs, the QAU operates independentlyfrom the laboratory staff and is responsible for performing quarterly internal program audits. Preliminary data review procedures are performed on-siteby each laboratory’s QAU. Final review procedures are performed by PDP staff who are responsible for collating and reviewing data for conformance with SOPs.
Method Performance Requirements: Laboratories are required to determine and verify thelimits of detection (LODs) and limits of quantitation (LOQs) for each pesticide/commodity pair. LODs depend on matrix, analyte, and detector used. LODs for each pesticide/commodity pair are shown in the applicable crop results appendix.Additional method performance/validation requirements include modules for consistent instrument response (linearity), method range, and precision and accuracy.

Confirmation: Verification by MS or a suitablealternate detection system is required for all preliminary results. Verified residue amounts greater than or equal to LOD and below LOQ are reportedPesticide Data Program—Annual Summary, Calendar Year 2004 15 

## as below quantifiable level (BQL). BQLs are assigned values at one-half the LOQ, and are used along with values greater than or equal to LOQ and non-detects in dietary risk assessments, when appropriate.

Routine Quality Control Procedures: PDP procedures for quality control (QC) are intended to assess method and analyst performance during sample preparation, clean-up, extraction, and, where applicable, derivatization. To maximize sample output and decrease the QC/sample ratio, samples are analyzed in analytical sets that include the test samples and the following components:
Reagent Blank – For analysis of fruit and vegetables, milk, soybeans, and wheat flour, an amountof distilled water, equivalent to the natural moisture content of the commodity, is run through the entire analytical process to confirm glassware cleanliness and system integrity.
Matrix Blank – A previously analyzed sample of the same commodity, which contains either verylow concentrations of known residues or no detectable residues, is divided into two portions. The first portion is used to determine background information on naturally occurring chemicals and the second is used to prepare a matrix spike.
Matrix Spike(s) – Prior to extraction, a portion(s) of matrix blank is spiked with marker pesticides to determine the precision and accuracy of the analyst and instrument performance. Marker pesticides are compounds selected from differentpesticide classes (e.g., organochlorines, organophosphates, carbamates, conazoles, imidazolinones, neonicotinyls, phenoxy acid herbicides, pyrethroids, strobilurins, triazines), which have physical and chemical characteristics similar to those in the class they represent. The use ofmarker pesticides to monitor recoveries is a modification of PDP’s previous requirements thatcalled for spiking with all pesticides. Marker pesticides are representative chemicals of the various classes analyzed and are intended to provide assurance of data reliability while not expending undue laboratory resources determining recoveriesfor each compound included in the extensive analytical screens. During 2004, PDP laboratories quantitated a total of 40,986 matrix spikes, with an overall mean recovery of 90 percent and an overallpercent coefficient of variation (% C.V.) of 32 percent. The % C.V. is calculated as the standard deviation divided by the mean.
Process Control Spike – A compound with physical and chemical characteristics similar to those of thepesticides being tested is used to evaluate the analytical process on a sample-by-sample basis. Each of the analytical set components, except the reagent and matrix blanks, is spiked with process controls. During 2004, PDP laboratories quantitated a total of 50,880 process controls on 13,207 samples, with an overall mean recovery of 96 percent and anoverall % C.V. of 19 percent. Of these process controls, 363 (0.71%) were rerun due to initial failure to meet PDP recovery criteria. These rerun values are not included in these statistics.

Proficiency Testing: All facilities are required toparticipate in PDP’s Proficiency Testing (PT) program. For laboratories testing fresh and processed fruit and vegetables, grains and grain products, anddairy products, multiresidue test samples containing pesticides of known quantities are periodically issued and analyzed under the same conditions as routine samples. The resulting data are used to determine performance equivalency among the testing laboratories, and to evaluate individuallaboratory performance. During 2004, PDP laboratories received 4 multiresidue fruit and vegetablePT sets consisting of 12 samples, 1 milk set consisting of 3 samples, and 1 soybean set consisting of 3 samples. For fruit and vegetable multiresiduescreening, the 12 samples comprised 4 commodities and were fortified with 35 compounds at levels generally 1 to 10 times the LOQ. Four compounds were repeated once. Reported results for fruit andvegetable samples yielded an overall mean recovery of 97 percent and an overall % C.V. of 28 percent.
Additionally, PDP laboratories participated in the international AOAC ®

## and Food Analysis Performance Assessment Scheme (FAPAS) proficiency testing programs. For the AOAC ®

## program, PDP laboratories participated in one test round of orange matrices fortified with nine pesticides. For FAPAS,PDP laboratories participated in 2 rounds consisting of apple, grapefruit, lettuce, and tomato test matrices fortified with 19 pesticides.Pesticide Data Program—Annual Summary, Calendar Year 2004 16 

## Laboratories were evaluated based on z-scores for reported compounds, as well as any reported false negatives or false positives. Laboratories were not held responsible for reporting compounds not included in their routine screening method. Overall, PDP laboratories performed as well or better than other participating laboratories.
For water, a commercial vendor supplied PT solutions to the testing laboratories. Solution profiles were based on common laboratory analytical profiles and detection limits. Test solutions were used for spiking, rather than distribution of spiked samples, due to stability concerns. For each PT set, the vendor supplied the laboratory’s QAU with acustom solution that was diluted according to program protocols by the onsite QAU and fortified into 1 liter of unfiltered tap water. The spiked samples were then presented to the staff members of each respective laboratory for analysis.

On-site Reviews: PDP staff perform on-site visits to determine compliance with PDP SOPs.Improvements in sampling, chain-of-custody, laboratory, recordkeeping, and electronic data transmission procedures are made as a result of on-site reviews. 

# IV. Database Management

PDP maintains an electronic database at the MPO in Manassas, Virginia, that serves as a central data repository. The data captured and stored in the PDP database include sample collection and product information, residue findings, and process control recoveries for each sample analyzed, in addition to QA/QC fortified recoveries for each set of samples. Each calendar-year survey is stored in a separate database structure, allowing easier administration and data reporting. The PDP data pathway is illustrated in Figure 7.

♦Electronic Data Pathway
PDP utilizes the Remote Data Entry (RDE) system, which is a customized software application that allows participating State and Federal laboratories to enter and transmit data electronically. The RDEsystem is centralized with all user interface software and database files residing in Washington, D.C. The laboratory users need only a Web browser to interface with the RDE system. Access is controlled through separate user login/ password accounts and user access rights for the various system functions based on position requirements. The RDE system utilizes Secure Sockets Layer (SSL) technology to encrypt all data passed between users’ computers and the central Web server.
A separate Windows-based system allows sample collectors to capture the standardized SIF electronically on handheld or laptop computers. The e-SIF system generates formatted text files containing sample information that are e-mailed to PDP headquarters and then imported into the Web-based RDE system.
The RDE data entry screens have extensive editing functions and cross-checks built into the software to ensure that valid values are entered for all critical data elements. This task is made easier by the practice of capturing and storing standardized codes for all critical alphanumeric data elements rather than their complete names, meanings, or descriptions. This coding scheme allows for faster and more accurate data entry, saves disk storage space, and allows the user to perform adhoc queries (data searches) on thedatabase easily. The data entry screens also perform automatic edits on numeric fields, dates, and other character fields to ensure that entries are within prescribed boundaries.
At PDP headquarters, the RDE system allows staff chemists to review the data on-line and then to mark the data as ready-for-upload to thecentral PDP database. A separate upload application converts and passes the data to the PDP database which is presently maintained using Microsoft® 

## Access in a Windows ®

## operating environment. Access to the central PDP database islimited to PDP staff personnel only and is controlled through password protection and user access rights. System back-ups are performed each night and back-up tapes are sent to off-site storage once a week.

♦Data Reporting
The PDP staff frequently receives requests for data from Government agencies and interested outside parties. Adhoc queries and customPesticide Data Program—Annual Summary, Calendar Year 2004 17 

## Figure 7. PDP Data Pathway. An illustration of PDP data path from sample collection, through laboratory analysis and reporting. - 10 State labs + 2 USDA labs - F&V Samples prepared for consumption - Detect residues at low levels - Pesticide residue data generated

- Multi-tiered QA data review process 

## Laboratory Analysis Sample Collection

- Collection in 10 States - Samples taken close to consumer - Standardized Sample Information Form - Data entry on handheld/laptop computers

- Web-based data entry software - Import data from other systems - Access controlled by user login - Extensive data cross-checks 

## Laboratory Remote Data Entry (RDE) Data Review at HQ

- Chemists review data on-screen - Upload data to central database



## Year-end Review

- Data reconciliation Internet

Internet

- Standard & adhoc reporting - Annual Summary - Custom data sets 

## Data ReportingPesticide Data Program—Annual Summary, Calendar Year 2004 18 

## reports are generated to fill such requests. An electronic library of data queries is maintained to generate standardized data summaries, including the data tables, charts, and appendices in thisannual summary. Subsets of the PDP calendaryear databases are made available for download from the PDP Website. The data files on the Website are fixed-length text files that contain a portion of the sampling data, all of the reported residue findings, and reference lists that can be used to interpret the standardized codes used in the PDP data. The data files can be imported into defined database structures and manipulated with the use of common database management software packages. 

# V. Sample Results and Discussion

♦Sample Results
In 2004, PDP conducted surveys on a variety of foods including fresh and processed fruit and vegetables, soybeans, wheat flour, milk, and drinking water. Of the 13,208 samples that were collected and analyzed, 10,366 were fruit andvegetable commodities, 616 were soybean samples, 725 were wheat flour samples, 739 were milk samples, and 762 were drinking water samples.
With the exception of soybean and drinking watersamples which were all from U.S. sources, 84 percent of the samples were produced in the U.S., 14 percent were imports, and about 1 percent were ofunknown origin. Appendix G shows the distribution of sample origin by State or Country. Of the domestic samples, more than 43 percent (4,317 of 9,982) were grown, packed, and/or distributed in or from California. Approximately eight percent of the orange juice samples were of mixed national origin (i.e., the juice was comprised oforanges grown in more than one country). Appendix H includes a comparison of residues for selected commodities with a significant import component.
Table 3 gives an overview of the number of residue detections for fresh and processed fruitand vegetables, grains, and dairy products determined during 2004. Overall, 76 percent of fresh fruit and vegetables and 40 percent of processed fruit and vegetables showed detectable residues. The percent of samples with detections ranged from 22 percent (canned peaches) to 98 percent (apples). Residues were detected in 42 percent of the soybean samples, 57 percent of the wheatflour samples, and 100 percent of the milk samples. Residue findings in milk were primarily lowlevel detections of diphenylamine and the environmental contaminants DDE p,p’ and dieldrin.These findings are largely attributable to the recent improvements in analytical technologies and associated lower detection limits.
Appendix B tabulates the distribution of residues in fruit and vegetables for the complete 2004 data set. Information included in this appendix are: number of samples analyzed for a particular compound; number and percent of samples withdetections; range of concentrations detected; tolerance violations; range of analytical LODs for 2004; EPA tolerance levels or FDA action levels; and corresponding Codex Alimentarius maximumresidue limits (MRLs) and/or extraneous maximum residue limits (EMRLs), when applicable.Appendices C, D, E, and F provide the distribution of residues for soybeans, wheat flour, milk, and water respectively. The individual sample data can be downloaded from the PDP Website or obtained by contacting MPO.
In 2004, PDP also completed a special study of triazole fungicides and metabolites, which 

## began in 2003 at the request of EPA. Michigan analyzed more than 500 strawberry samples for parent triazoles and common triazole metabolites. Additionally, California analyzed more than 200 strawberry samples for parent triazoles. For strawberries, triazole alanine was detected in 12.4percent of the samples. Parent triazoles myclobutanil and triflumizole were detected in 38.4 and 1.4 percent of strawberry samples respectively. Triadimefon, 1,2,4-triazole, and triazole acetic acid were not detected in any strawberry samples.
Food monitoring data, together with dietary consumption surveys, are used by EPA to estimate dietary exposure to pesticides to ensure the safety of existing pesticide uses. EPA uses all results reported by PDP, including sample results reported as below the LOD and those above the tolerance. PDP laboratories are required toPesticide Data Program—Annual Summary, Calendar Year 2004 19 

### Number of Samples Analyzed Samples with Residues Detected Percent of Samples with Detections Different Pesticides Detected Different Residues Detected Total Residue Detections

Apples 744 727 98 33 41 2,619 Cantaloupe 742 402 54 18 24 626 Cauliflower 185 134 72 4 4 151 Cucumbers 557 404 73 30 36 1,025 Grapes 739 574 78 32 39 1,336 Green Beans 548 387 71 24 28 976 Lettuce 743 657 88 47 57 1,985 Oranges 742 654 88 10 12 981 Pears 741 643 87 31 35 1,309 Strawberries 731 681 93 28 35 1,996 Sweet Bell Peppers 558 539 97 43 50 2,282 Sweet Potatoes 743 461 62 13 14 587 Tomatoes 744 359 48 17 21 737 Winter Squash 364 146 40 17 20 217 8,881 6,768 76 16,827

Green Beans, Canned 185 44 24 5 5 73 Orange Juice 186 93 50 3 3 94 Peaches, Canned 743 162 22 3 3 175 Spinach, Canned 371 300 81 8 8 406 1,485 599 40 748



## Table 3. Number of Samples Analyzed and Su mmary of Residues Detected by Commodity. The distinction between the number of pesticides and different residues is made to differentiate a parent compound and its metabolite(s). A parent compound and its metabolites are reported as a single pesticide detection rather than as separate residue detections. TOTAL PROCESSED

Number of Samples Analyzed = 10,366 Number of Samples with Residues Detected = 7,367 Percent with Residue Detections = 71.1% Total Number of Different Pesticides Detected = 99 Total Number of Different Residues Detected = 115 Total Number of Residue Detections = 17,575

Soybeans 616 256 42 8 8 282 Wheat Flour 725 410 57 16 16 590 1,341 666 50 872

Milk 739 739 100 12 12 2,129

Number of Samples Analyzed = 12,446 Number of Samples with Residues Detected = 8,772 Percent with Residue Detections = 70.5% Total Number of Different Pesticides Detected = 156 Total Number of Different Residues Detected = 171 Total Number of Residue Detections = 20,576 Fresh Fruit and Vegetables:

Processed Fruit and Vegetables: TOTAL FRESH

Dairy Product: Processed Grain Product: Fruit and Vegetables Totals:

All Commodities (excludes 762 drinking water samples): TOTAL GRAINPesticide Data Program—Annual Summary, Calendar Year 2004 20 

## establish LODs and report any instrumental response below the LOD as a non-detect. LODs are established experimentally for each pesticide/ commodity pair and are reported with each dataset. The number of non-detects can be used in conjunction with percent crop treated data to determine what proportion of these values may be counted as zero towards the dietary exposure. As shown in Table 3, 30 percent of the samples(excluding water) were reported as having no residue detections (i.e., results were below the established LOD). For samples containing residues, the vast majority of the detections were well below established tolerances.

♦National Estimates
National estimates for selected pesticide/ commodity pairs are shown in Appendix I. In most cases for each pair, the levels of detected residues are a small fraction of the tolerance level. A rangeof values for the average sample residue concentration (mean) for each pair is provided. The lower value for the range is determined by treating a sample without detectable residues as if it had a residue concentration equal to zero. The upper value is determined by treating such a sample as if it had a residue concentration equal to the LOD.Calculations for the 50th, 75th, and 90th percentiles for each of the selected pairs are shown. The ratio of the 90th percentile to the tolerance, as anormalization factor is also provided. Percent detections and percentiles for apples, cantaloupe, cauliflower, cucumbers, grapes, fresh green beans, lettuce, oranges, pears, strawberries, sweet bell peppers, sweet potatoes, tomatoes, and winter squash were weighted to reflect monthly variations in marketing. No weighting adjustments were made for canned green beans, milk, orange juice, canned peaches, soybeans, canned spinach, or wheat flour.
Appendix J displays the estimated distributions of 12 representative pesticide/commodity pairs.These graphs depict that the overwhelming majority of pesticide testing results and the respective means (average values) are at low concentrations.The range of values, the median at the 50th percentile, and the range in percentile representing the lower and upper bound for the sample mean are shown on each chart. These pesticide/commodity pairs included in Appendix J are diphenylamine/ apples, cyprodinil/grapes, acephate/green beans, methamidophos/green beans, imidacloprid/lettuce,imazalil/oranges, chlorpyrifos/soybeans, permethrin total/canned spinach, myclobutanil/strawberries, imidacloprid/sweet bell peppers, dicloran/ sweet potatoes, and malathion/wheat flour. In some cases, there is convergence of the mean upper andlower bound into a single line due to the insignificant differences between them (e.g., dicloran/sweet potatoes).

♦Fresh vs. Processed
The 2004 residue data, as in past years, show that residue profiles for fresh products are significantlydifferent than for processed products. Raw agricultural commodities, if specifically grown for processing into juice for example, could receive different treatments than products destined forfresh market. An increase in residue levels (concentration) or reduction in residue levels is likely a direct result of processing effects such as cooking, pasteurization, and other processing steps. A comparison of residues for selected fresh and processed products is shown in Table 4.
For fresh green beans, detection of pesticides in greater than 10 percent of the samples included acephate, chlorothalonil, endosulfan I, endosulfan sulfate, methamidophos, and o-phenylphenol. In canned green beans, detection of acephate and methamidophos was significantly less than in the fresh product. Chlorothalonil, endosulfan I, and endosulfan sulfate were not detected in canned green beans and o-phenylphenol was not analyzed.
A direct comparison of fresh oranges to orange juice can be problematic. Not only may oranges specifically grown for processing into juice receive different treatments than products destined for the fresh market, but entirely different varieties are grown specifically for juice production and may be treated completely differently than fresh market oranges. In some cases, orange juice samples were comprised of juice from oranges grown in different countries. In 2004, carbaryl and o-phenylphenol were found more frequently in orange juice than in fresh oranges. In contrast, imazalil was found in 0.5 percent of the juice and on 74.7 percent of fresh oranges and thiabendazole was not detected in any of the juice samples while 34.0 percent of fresh oranges contained thiabendazole.Pesticide Data Program—Annual Summary, Calendar Year 2004 21 

## Results for fresh spinach collected and analyzed in 2003 are compared to the 2004 findings for canned spinach in Table 4. Cypermethrin was detected in 14.9 percent of the fresh spinach samples and 23.2 percent of the canned spinach samples. DDE p,p’ was detected in 24.0 percent of the fresh spinach samples and 10.8 percent of the canned spinach samples. Permethrin (total) was found in 49.5 percent of the fresh spinach samples and 65.8 percent of the canned spinach samples.

♦Import vs. Domestic Residue Comparisons
Information about the origin of each PDP sample is recorded when the sample is collected. Figure 3 illustrates the proportion of the domestic andimport component for each PDP fruit and vegetable commodity this year. The data generated by PDP reflect pesticide residues in foods available to the U.S. consumer, including both domestic and imported products. Many commodities are almost entirely of domestic origin with only a minorimport component. However, some fresh commodities, such as cantaloupe, cucumbers, grapes,sweet bell peppers, and tomatoes are from domestic growers part of the year and are imported during the remaining months. Comparisons ofselected residues detected in imported versus domestic commodities can be found in Appendix H. Table 4. Selected Residue Comparisons for Fresh and Processed Commodities. The percentage of samples with detections and the range of reporte d values for selected pestic ides recovered from fresh vs. processed green beans, oranges and spinach a re shown. Commodity/residue pairs were selected based on the following criteria: data availability for fresh and processed product within the same sampling timeframe; greater than 10% detection ratefor a residue in either the fresh or processed commodity; and number of samples analyzed suffic ient to ensure adequate representation.

Pesticide % of Saples with Detects Minimum Value Detected, ppm Maximum Value Detected, ppm % of Samples

with Detects Minimum Value Detected, ppm Maximum Value Detected, ppm Acephate 29.4 0.003 2.0 14.1 0.003 0.16

Chlorothalonil 28.8 0.003 0.46 0 0 0

Endosulfan I 10.2 0.003 0.21 0 0 0
Endosulfan sulfate 15.9 0.003 0.95 0 0 0 Methamidophos 27.9 0.008 0.56 15.1 0.003 0.094 o-Phenylphenol 64.4 0.017 0.017 NA NA NA 

### GREEN BEANS -- Fresh (2004) GREEN BEANS -- Canned (2004)

Carbaryl 1.9 0.003 0.059 11.3 0.003 0.010

Imazalil 74.7 0.050 0.95 0.5 0.050 0.050
o-Phenylphenol 19.1 0.017 0.062 38.7 0.017 0.017
Thiabendazole 34.0 0.050 0.75 0 0 0 

### ORANGES -- Fresh (2004) ORANGE JUICE (2004)

Cypermethrin 14.9 0.050 2.9 23.2 0.050 0.90
DDE p,p’ 24.0 0.012 0.077 10.8 0.012 0.012

Permethrin Total 49.5 0.048 16 65.8 0.048 11 

### SPINACH -- Fresh (2003) SPINACH -- Canned (2004)

NA No analysis performed for commodity/pesticide pair.Pesticide Data Program—Annual Summary, Calendar Year 2004 22 

## Overall, samples of cucumbers from Mexico, grapes from Chile, and cantaloupes from Central America showed higher percent detections than the respective domestic samples. These sample sets were selected to compare data where residues arepresent in greater than 10 percent of the commodity and allow comparison of individual residues. These data showed that while the overall residuesare higher in some of these imported crops compared to domestic producers, the residue profile was different.

The cucumber data in Appendix H indicate that during 2002-2004, residues were detected in 59.3 percent of the domestic samples and 85.0 percent of the Mexican samples. Endosulfan I, endosulfan II, or endosulfan sulfate was detected in 31.2 percent of the domestic cucumber samples and 63.8 percent of the Mexican cucumber samples. Similarly, metalaxyl and methamidophos were detected more frequently in Mexican cucumbers than in domestic cucumbers.
For grapes, 89.2 percent of the Chilean samplesand 69.5 percent of the domestic samples had residues detected in 2004. Captan residues weredetected in 44.3 percent of the Chilean grape samples compared to 2.9 percent of the domestic samples. Conversely, ethephon residues were detected in 17.3 percent of the Chilean samples compared to 57.0 percent of the domestic grape samples.
For cantaloupe, 37.4 percent of the domestic product had residues compared to 80.8 percent of the Central American (Costa Rica, Guatemala, Honduras, and Nicaragua) samples in 2003-2004. Cantaloupe samples from Central America had more residues of endosulfan sulfate and methomyl than samples from the U.S.

♦Ethephon Results
In 2004, PDP responded to a critical EPA need for ethephon data. The Minnesota laboratory used a selective analyte method to measure ethephon residues on apples and grapes. Apple and grape frozen homogenates were shipped to the Minnesota laboratory on a monthly basis for ethephondeterminations. As shown in Appendix B, ethephon was detected in 28.9 percent of the apple samples and 35.7 percent of the grape samples. ♦Postharvest Applications
Pesticides can be applied before and after harvest depending on the crop and approved label use. PDP data capture both preharvest and postharvest uses because samples are collected at points when all pesticide applications have already occurred. Pesticides applied postharvest are used primarily as fungicides, but some insecticides and sprouting inhibitors are also important postharvest croptreatments. Some detections reported in Appendices B, C, and D were most likely generated by postharvest applications to the raw agricultural commodity.

♦Environmental Contaminants

DDT, DDD, and DDE: A total of 9,845 fruit and vegetable (Appendix B), 596 soybean (Appendix C), 725 wheat flour (Appendix D), and 739 milk samples (Appendix E), were screened for DDE p,p’, a metabolite of DDT. Other DDT metabolites measured only in fruit and vegetables include DDD o,p’ and DDD p,p’. Use of DDT has been prohibited in the U.S. since 1972; however, due to its persistence in the environment, residues of the DDE p,p’ metabolite were detected in 1.5 percent (147 detections in 9,845 samples) of the fruit and vegetable samples tested. Residues of DDE p,p’ were found in green beans (2.2%), lettuce (11.3%), canned spinach (10.8%), sweet bell peppers (0.4%), sweet potatoes (0.3%), winter squash (1.9%), wheat flour (0.1%), and milk (96.1%). Residues of DDT o,p’ and DDT p,p’ were detected in lettuce (1.7% and 0.9% respectively). More than 96 percent of the milk samples had low level detections of DDE p,p’. These finding are largely attributable to the recent improvements in analytical technologies and associated lower detection limits. All detections of DDT and its metabolites were well below the established action levels.

OTHER EXTRANEOUS PESTICIDES: In 1974, all aldrin and dieldrin uses were canceled in theU.S., and in 1978, all heptachlor uses were canceled. In 1986, chlordane uses, except termiticide uses, were canceled. Despite these cancellations and due to their persistence in the environment, residues of dieldrin were detected in cantaloupe, cucumbers, sweet potatoes, winter squash, milk,Pesticide Data Program—Annual Summary, Calendar Year 2004 23 

## and soybeans in 2004. Dieldrin was found in 41.5 percent of milk samples, 7.5 percent of cucumber samples, 7.1 percent of winter squash samples, and less than 1 percent of the cantaloupe, sweet potato, and soybean samples. Less than 1 percent of both cucumbers and winter squash contained heptachlor epoxide, a metabolite of heptachlor. Cis and trans chlordane were detected in less than 1 percent of the lettuce samples and 3.6 and 2.5 percent of the winter squash samples respectively. All detections were below the established action levels. No residues of aldrin were detected in fruit and vegetables or soybeans. Oxychlordane, a chlordane metabolite, was not detected in any of the 1,798 fruit or vegetable samples analyzed.

♦Multiple Pesticide Residue Detections
By virtue of the MRMs employed, PDP provides novel data that can be used by EPA in evaluatingexposure to multiple residues from the same commodity. The data are crucial for assessments whichconsider cumulative exposure to pesticides determined to have common mechanisms of toxicity. The distribution of multiple pesticides occurring insamples tested during 2004 is presented in Appendix K. These data enumerate the number of distinct pesticides rather than residues, as was reported in summaries prior to 2003. For example, endosulfan,its isomer endosulfan II, and its metabolite endosulfan sulfate are reported as a single pesticide detection rather than separate residue detections.
These data indicate that 29.5 percent of all samples tested contained no detectable pesticides [parent compound and metabolite(s) combined], 30 percent contained 1 pesticide, and slightly over 40 percent contained more than 1 pesticide. Parent compounds and their metabolites are combined to report the number of “pesticides” rather than the number “residues,” as was reported in summaries prior to 2003. For example, a sample with positive detections for Endosulfan, I, II, and sulfate would have been counted as three residues in the 2002 Appendix L. That sample would be counted as just one pesticide detected in this Summary’s Appendix K.
Most multiple residue detections result from the application of more than one pesticide on a crop during a growing season; however, a number of other factors could contribute to multiple detections. Pesticide spray drift, residue transfer through crop rotation, cross-contamination at packing facilities, and/or presence of persistent environmental contaminants could all contribute to residue detections.
It should be noted that, in most cases, samples analyzed by PDP are composites of 3 to 5 pounds from the same lot. Therefore, the estimated concentrations in these composite sample results for multiple residue detections may or may notreflect the number of pesticides per concentration in a single serving item of a commodity.

♦Tolerance Violations

A tolerance is defined under Section 408 of the Federal Food, Drug, and Cosmetic Act as themaximum quantity of a pesticide residue allowable on a raw agricultural commodity. Tolerances are also applicable to processed foods. EPA is in the process of reassessing tolerances under FQPA. A tolerance violation occurs when a residue is found that exceeds the tolerance level or when a residue is found for which there is no established tolerance. With the exception of meat, poultry, and egg products, for which USDA is responsible, FDA enforces tolerances for all imported and domestic foods that move through interstate commerce. Unlike enforcement programs, PDP emphasizes determination of residues at thelowest detectable levels rather than quick turnaround times. When PDP identifies samples with residues exceeding the tolerance or with residues for which there is no established tolerance, these detections are reported to FDA regional and headquarters’ offices. This notification is made inaccordance with a Memorandum of Understanding between USDA and FDA for the purpose of pinpointing areas where closer surveillance may be needed. FDA enforcement action has not been a practical response to PDP analysis because of the time required between sample collection and data reporting.
Residues exceeding the established tolerance are noted with an “X” in Appendices B, C, D, and E. Similarly, residues for which a tolerance is not established are noted with a “V.” The “X” and “V” annotations are followed by a number indicating the number of samples reported to FDA.Pesticide Data Program—Annual Summary, Calendar Year 2004 24 

## An established tolerance may apply to more than one residue because pesticides may break down into more than one metabolite or contain more than one isomer. For example, the tolerance for endosulfan combines residues of endosulfan I,endosulfan II, and endosulfan sulfate and organophosphate tolerances may combine the parentcompound and the sulfone and sulfoxide metabolites. Therefore, where applicable, the violations in Appendix L are combined residues of parent and any isomers and/or metabolites to count the total number of samples with tolerance violations.
Excluding water samples, residues exceeding the tolerance were detected in 0.2 percent of the 12,446 samples tested in 2004 – 21 samples with 1residue each. Residues with no established tolerance were found in 5.2 percent of the samples (625 samples with 1 residue each, 26 samples with 2 residues each, and 1 sample with 3 residues). In most cases, these residues were detected at very low levels and some residues may have resulted from spray drift or crop rotations. The residue levels and commodities are listed in Appendix L.

♦Drinking Water Results
Figure 6 shows the location of drinking water sites for the 2004 PDP testing program. Untreated and treated drinking water samples were collected from community water systems in Michigan, NorthCarolina, Ohio, Oregon, Pennsylvania, and Washington. Each watershed reflects the local topography, watershed size, geomorphology, soil types, geology, land use, land management practices, crop varieties, pesticides applied, and application methods. Due to the complexities associated with water quality assessments, these data reflect only the unique characteristics of the watersheds from which the samples were obtained.
PDP analyzed 762 water samples from community water systems using MRMs to test for more than 200 pesticides and metabolites. Treatment plants participating in the 2004 survey draw from surface water as their primary source waters. The data presented here are for the untreated water collectedat treatment plant intakes and treated water (postdisinfection) collected just prior to distribution to customers. Fifty-one different residues were detected in the untreated intake water and 38 in the finished water. Most of the detections were of commonly used herbicides and their metabolites. The majority of pesticides included in the PDP testing profiles were not detected and none of the detections in the finished water samples exceeded EPA Maximum Contaminant Levels (MCLs) or Health Advisory (HA) values.

Appendix F lists the MCL and/or HA values; however, many of the compounds in the PDP testing profiles do not have established regulatory standards. For comparative purposes, EPA Fresh Aquatic Organism (FAO) criteria, which are much lower than human-based MCLs or HAs, are also given. These criteria are lower than MCL or HA levels due primarily to higher exposure to these compounds because aquatic organisms live all or most of their lives in water. During 2004, there were no detections for any of the pesticides with established FAO levels. Additional information regarding EPA drinking water standards is available at: http://www.epa.gov/safewater/ standard/setting.html

. Water treatment technologies vary widely and may be based on the local water chemistry, targetedcontaminants needing removal, and cost. Appendix F shows the concentration of detected residues in treated and untreated water. In most cases, there were more detections in the untreated water than the treated water. In a few cases, residues detected in the treated water were not detected in the untreated water. The data acquired to date indicate that the water treatment process removed matrix interferences, allowing for a more sensitive measurement in the treated water. Depending on the treatment process employed, individual pesticides are entirely, partially, or not removed during the treatment process.
Figure 8 illustrates the effect of treatment on atrazine levels for both a Michigan site and an Ohio site. At the Ohio site, atrazine concentrations are greatly reduced (several orders of magnitude), whereas at the Michigan site, only small changes in concentration were observed between the untreated and treated samples.

♦Synopsis
A total of 10,366 fresh and processed fruit and vegetable samples, 616 soybean samples, 725Pesticide Data Program—Annual Summary, Calendar Year 2004 25 

### 0 500 1000 1500 2000 2500 3000 3500 4000Concentration (ppt) 

### Treated
Untreated 0 500 1000 1500 2000 2500 3000 3500 4000Concentration (ppt) 

## Treated
Untreated

1 st



### Quarter 2 nd 

### Quarter 3 rd 

### Quarter 4 th

### Quarter



## Figure 8. Effects of Water Treatment on Atrazine Concentration in Drinking Water Samples. This figure illustrates the different removal rates of atrazine by community water system water treatment processes at one site in Ohio and one site in Mich igan. The hydraulic residence time (the average time from entry into the treatment facility to discharge astreated water) was determined to be five to six hours. In both cases, the amount of atrazine residueremoved by treatment brought the concentration below the MCL. 

# Ohio

Michigan

1 st



### Quarter 2 nd 

### Quarter 3 rd 

### Quarter 4 th

### Quarter MCL (atrazine) MCL (atrazine)Pesticide Data Program—Annual Summary, Calendar Year 2004 26 

# ♦♦♦♦♦ wheat flour samples, 739 milk samples, and 762 drinking water samples were analyzed for various pesticides including insecticides, herbicides, and fungicides. MRMs were used to detect a widevariety of compounds including carbamates, conazoles, imidazoles, organochlorines, organophosphates, phenoxy acid herbicides, pyrethroids, strobilurins, and triazines.
Excluding soybeans and drinking water which are all domestic, approximately 84.4 percent of all samples tested were domestic, 14.4 percent were imported, 1.1 percent were of unknown origin, and 0.1 percent were of mixed national origin.
Overall, 30 percent of all samples tested contained no detectable pesticides [parent compound and metabolite(s) combined], 30 percent contained 1 pesticide, and 40 percent contained more than 1 pesticide. Generally, fewer pesticides were found in processed products and grain than in fresh commodities. Low levels of environmental contaminants were detected in milk, lettuce, and spinach at concentrations generally well below levels that trigger regulatory actions. Of all the samples tested, 0.2 percent were reported as containing residues exceeding the tolerance and 5.2 percent as containing residues where no tolerance was listed in 40 CFR, Part 180.
In finished drinking water, PDP detected low levels (measured in parts per trillion) of somepesticides, primarily widely used herbicides. Fiftyone different residues were detected in the untreated intake water and 38 in the treated water. The majority of pesticides included in the PDP testing profiles were not detected. None of the detections in the finished water samples exceeded established EPA MCL or HA levels and there were no detections for any of the pesticides with established FAO criteria.

The U.S. Department of Agricult ure (USDA) prohibits discrimination in all its programs and activities on the basis of race, color, national origin, age, disability, and where applicable, sex, marital status, familial st atus, parental status, religion, sexual orientation, genetic information, po litical beliefs, reprisal, or because all or part of an individual’s income is deriv ed from any public assistance program (Not all prohibited bases apply to all programs. ) Persons with disabilities who require alternative means for communication of program information (B raille, large print, audiotape, etc.) should contact USDA’s TARGET Center at (202) 720 -2600 (voice and TDD). To file a complaint of di scrimination, write to US DA, Director, Office of Civil Rights, 1400 Independence Avenue, S. W., Washington, D.C. 20250-9410, or ca ll (800) 795-3272 (voice) or (202) 720- 6382 (TDD). USDA is an equal opportunity provider and employer.

# Appendix A

Commodity History

Appendix A identifies commodi ties sampled by the Pesticide Data Program through December 2005. Updates to thislist are posted on the PDP Web site at http://www.ams.usda.gov/science/pdp

.

## Fresh Commodities
Commodity Start Date End Date

A pp les 1 

## Sep-91 Dec-96 Apples (S-1) Jan-99 Dec-99 Apples (S-2) Jan-99 May-99 Apples Oct-00 Sep-02 Apples Jan-04 Dec-05 Apples (T-1) Jan-03 Dec-03 Asparagus Jan-02 Jun-03 Bananas Sep-91 Sep-95 Bananas Jan-01 Dec-02 Broccoli Oct-92 Dec-94 Broccoli Jan-01 Dec-02 Cantaloupe Jul-98 Jun-00 Cantaloupe Oct-03 Sep-05 Carrots 1 

## Oct-92 Sep-96 Carrots Oct-00 Sep-02 Cauliflower Oct-04 Ongoing Celery Feb-92 Mar-94 Celery Jan-01 Dec-02 Cherries 2 

## May-00 Aug-01 Cucumbers Jan-99 Dec-00 Cucumbers Oct-02 Sep-04 Eggplant Jan-05 Ongoing Grapefruit Aug-91 Dec-93 Grapefruit Jan-05 Ongoing Grapes 1 

## May-91 Dec-96 Grapes Jan-00 Dec-01 Grapes Jan-04 Dec-05 Green Beans Feb-92 Dec-95 Green Beans Jan-00 Dec-01 Green Beans Apr-04 Mar-05 Lettuce May-91 Dec-94 Lettuce Oct-99 Sep-01 Lettuce Jan-04 Dec-05 Mushrooms Oct-01 Sep-03 Nectarines 3 

## Jul-00 Sep-01 Onions Jan-02 Dec-03 Oranges 1 

## Aug-91 Dec-96 Oranges Jan-00 Dec-01 

## COMMODITY HISTORY AS OF DECEMBER 2005

Appendix A. Page 1 of 4

## Commodity Start Date End Date Oranges Jan-04 Dec-05 Peaches Feb-92 Sep-96 Peaches (S-3) Jan-00 Sep-00 Peaches 4 

## Jan-01 Sep-02 Peaches (T-1) May-03 Sep-03 Pears Jan-97 Jun-99 Pears (S-1) Jul-98 Jun-99 Pears Oct-03 Sep-05 Pineapples Jul-00 Jun-02 Plums Jan-05 Ongoing Potatoes May-91 Dec-95 Potatoes (S-4) Dec-96 Dec-97 Potatoes Jul-00 Jun-02 Spinach 1 

## Jan-95 Sep-97 Spinach Jul-02 Dec-03 Strawberries 5 

## Jan-98 Sep-00 Strawberries Jan-04 Dec-05 Sweet Bell Peppers Jan-99 Dec-00 Sweet Bell Peppers Oct-02 Sep-04 Sweet Potatoes 1 

## Jan-96 Jun-98 Sweet Potatoes Jan-03 Dec-04 Tomatoes 1 

## Jul-96 Jun-99 Tomatoes Jan-03 Dec-04 Watermelon 6 

## Oct-05 Ongoing Winter Squash 5 

## Jan-97 Jun-99 Winter Squash Jul-04 Ongoing

NOTES

1 

### Excludes sampling hiatus September - November 1996.

2 

### Sampling adjusted for market availability. Cherries were sampled for two years (May-00 - Aug-01) for a total of six months.

3

### Sampling adjusted for market availability. Nectarines were sampled for two years (Jul-00 - Sep-01) for a total of six months.

4

### Sam p lin g ad j usted for market availability . Peaches were sam p led for two y ears (Jan-01 - Sep-02) for a total of sixteen months.

5

### Frozen collected when fresh unavailable.
6

### Sam p les collected in California, Florida, New York, Mary land and Texas onl y. (S-1) Special single serving project testing for organophosphates. (S-2) Special single serving project testing for carbamates. (S-3) Special single serving project testing for carbamate, organochlorine, organophosphate, organonitrogen, and sulfur compounds. (S-4) Special single serving project testing for aldicarb. (T-1) Triazole parent and metabolite compounds only.

Appendix A. Page 2 of 4

## Processed Commodities

Commodity Start Date End Date
Apple Juice 1 

## Jul-96 Dec-98 Apple Juice Jan-02 Dec-02 Apple Sauce Jul-02 Dec-02 Asparagus, Canned Jul-03 Dec-03 Corn Syrup 2 

## Jan-98 Jun-99 Grape Juice Jan-98 Dec-99 Green Beans, Canned/Frozen 1 

## Jan-96 Jun-98 Green Beans, Canned Jan-03 Mar-04 Green Beans, Frozen Apr-05 Dec-05 Orange Juice Jan-97 Dec-98 Orange Juice Oct-04 Ongoing Peaches, Canned Dec-96 Dec-97 Peaches, Canned Jan-03 Dec-04 Peaches, Canned (T-1) Jan-03 Mar-03 Peaches, Canned (T-1) Oct-03 Dec-03
Peanut Butter Jan-00 Dec-00 Pear Juice, Concentrate/Puree Jul-02 Jun-03 Pears, Canned Jul-99 Jun-00 Peas, Canned/Frozen Apr-94 Jun-96 Peas, Canned/Frozen 3 

## Oct-01 Sep-03 Spinach, Canned Oct-97 Dec-98 Spinach, Frozen Jan-99 Dec-99 Spinach, Canned Jan-04 Jun-04 Strawberries, Frozen 4 

## Jan-98 Sep-00 Sweet Corn, Canned/Frozen Apr-94 Mar-96 Sweet Corn, Canned/Frozen 3 

## Oct-01 Sep-03 Tomato Paste, Canned Jan-01 Jun-01 Tomatoes, Canned Jul-99 Jun-00 Winter Squash, Frozen 4 

## Jan-97 Jun-99

NOTES
1 

### Excludes sampling hiatus September - November 1996.
2 

### Excludes sampling hiatus January 1999.
3 

### Canned samples collected in first year and frozen samples in second year of testing.
4 

### Frozen collected when fresh unavailable. (T-1) Triazole parent and metabolite compounds only.

Appendix A. Page 3 of 4

## Grains

Commodity Start Date End Date Barley Oct-01 Sep-03 Oats Jul-99 Apr-00 Rice Oct-00 Sep-02 Soybeans Sep-96 Feb-98 Soybeans 1 

## Oct-03 Dec-05 Wheat Feb-95 Jan-98 Wheat Sep-04 Ongoing Wheat Flour Jan-03 Dec-04 Wheat Flour (T-1) Jan-03 Dec-03



## Dairy

Commodity Start Date End Date
Butter Jan-03 Dec-03 Heavy Cream Jul-05 Dec-05 Milk 2 

## Jan-96 Oct-98 Milk (TSP) Jul-03 Dec-03 Milk Jan-04 Dec-05



## Drinking Water

States Start Date End Date California, New York Mar-01 Dec-03 Colorado, Kansas, Texas May-02 Dec-03 Oregon, Pennsylvania Jan-04 Dec-04 Michigan, North Carolina, Ohio, Washington Jan-04 Ongoing Bottled Water - Ten Participating States Jan-05 Ongoing



## Meat / Poultry Products

Commodity Type Start Date End Date Poultry Young Chickens Apr-00 Mar-01 Beef Cows, Heifers, Steers Jun-01 Jul-02 Pork Gilt, Barrow Jan-05 Jun-05

NOTES

1 

### Soybeans collection from October - December 2005 includes only grain slated for export (special soybean project).
2 

### Excludes sampling hiatus September - November 1996. (T-1) Triazole parent and metabolite compounds only. (TSP) Triazole Sampling Project. Samples sent to contract laboratory. Appendix A. Page 4 of 4

# Appendix B

Distribution of Residues by Pesticide in Fruit and Vegetables

Appendix B shows residue detections for a ll fruit and vegetable pesticide/commodity pairs tested, including range of values detect ed, range of Limits ofDetection (LODs), Environmental Protection Agency (EPA) tolerances, and Codex Maximum Residue Limit/Extraneous Maximum Residue Limit (MRL/ EMRL) references for each pair.
In 2004, 10,366 fruit and vegetable samples we re analyzed, of which 8,881 were fresh product and 1,485 were processed product.
PDP reports tolerance violations to the F ood and Drug Administration (FDA) as part of an interagency Memorandum of Understanding between the U.S. Department of Agriculture and FDA. Residues reported toFDA are shown in the “ Pesticide/Commodity” column to the right of the commodity and are annotated as “ X” (if the residue exceeded the established tolerance) or

“ V” [if the residue did not have a tolerance listed in the Code of Federal Regulations (CFR), Title 40, Part 180]. In both cases, these annotations are followed by a number indicating the number of samples reported to FDA.

Data to establish Codex MRLs are evaluat ed by the Food and Agriculture/World Health Organization-sponsored Joint M eeting on Pesticide Residues (JMPR) based on toxicology, residue occurrence in crops determined by supervi sed field trials, and dietary exposure. The Codex Committee on Pesticide Residues (CCP R) meets annually to discuss proposed MRLs and recommends approval to the Codex Aliment arius Commission. This means that Codex MRLs represent levels that are considered safe to humans. MRLs/EMRLs shown in this appendix are from the C odex Alimentarius: Proc. of Codex Committ ee on Pesticide Residues
, 37 th 

## Session, April 18-23, 2005, The Hague, The Ne therlands. Only Codex MRLs (CXLs) are listed.
The information herein is only intended to be an in itial reference. R eaders are reminded that international regulations and MRLs may change and that it is important that information obtained from this table be verifi ed with knowledgeable parties in the market of interest prior to sale or shipment of exports.Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm Acephate (insecticide ) Apples 744 0 0.002 - 0.003 0.02 - Cantaloupe 742 1 0.1 0.008 ^ 0.002 - 0.005 0.02 - Cucumbers (X-2) 557 9 1.6 0.003 - 0.052 0.002 ^ 0.02 - Grapes 738 0 0.002 - 0.005 0.02 - Grean Beans, Canned 185 26 14.1 0.003 - 0.16 0.002 - 0.005 3 - Green Beans 548 161 29.4 0.003 - 2.0 0.002 - 0.005 3 - Lettuce 743 60 8.1 0.003 - 0.11 0.002 - 0.003 10 5 Orange Juice 186 0 0.002 ^ 0.02 - Oranges 742 0 0.002 ^ 0.02 - Pears 741 0 0.002 - 0.075 0.02 - Spinach, Canned 371 0 0.005 ^ 0.02 - Strawberries 731 5 0.7 0.002 - 0.005 0.001 - 0.002 0.02 - Sweet Bell Peppers 558 131 23.5 0.005 - 1.8 0.003 ^ 4.0 - Winter Squash (X-1) 364 2 0.5 0.027 - 0.22 0.002 - 0.005 0.02 - TOTA L 7,950 395

Acetamiprid (insecticide) Apples 52 52 100 0.001 - 0.10 0.0006 ^ 1.0 - Cauliflowe r 185 0 0.0006 ^ 1.20 - Lettuce 175 27 15.4 0.001 - 0.20 0.0006 ^ 0.20 - TOTA L 412 79

Acibenzolar S methyl (plant activator) Apples 176 0 0.007 ^ NT - Cauliflowe r 185 0 0.007 ^ 1.0 - Lettuce 175 0 0.007 ^ 0.25 - Tomatoes 744 0 0.018 ^ 1.0 - TOTA L 1,280 0

Alachlor (herbicide) Cantaloupe 527 0 0.016 ^ NT - Spinach, Canned 371 0 0.016 ^ NT - Winter Squash 262 0 0.016 ^ NT - TOTA L 1,160 0

Aldicarb (insecticide) Apples 528 0 0.0003 ^ NT - Cantaloupe 527 0 0.020 ^ NT - Cauliflowe r 185 0 0.0003 ^ NT - Cucumbers 395 0 0.010 - 0.018 NT - Grapes 526 0 0.010 ^ NT 0.2 Grean Beans, Canned 131 0 0.020 ^ NT - Green Beans 387 0 0.020 ^ NT - Lettuce 527 0 0.0003 ^ NT - Orange Juice 186 0 0.010 - 0.012 0.3 0.2 Oranges 742 0 0.010 - 0.012 0.3 0.2 Pears 525 0 0.010 ^ NT - Spinach, Canned 371 0 0.020 ^ NT - Sweet Bell Peppers 558 0 0.0003 ^ NT - Sweet Potatoes 739 0 0.007 - 0.010 0.1 0.1 Winter Squash 262 0 0.020 ^ NT - TOTA L 6,589 0

Aldicarb sulfone (metabolite of Aldicarb) Apples 484 0 0.0009 ^ NT - Cantaloupe 527 0 0.038 ^ NT - Cauliflowe r 169 0 0.003 ^ NT - Cucumbers 395 0 0.010 - 0.021 NT - Grean Beans, Canned 131 0 0.020 ^ NT -



## APPENDIX B. DISTRIBUTION OF RESIDUES BY PESTICIDE IN FRUIT AND VEGETABLES

Appendix B. Page 1 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm
Green Beans 387 0 0.020 ^ NT - Lettuce 512 0 0.0009 ^ NT - Orange Juice 186 0 0.010 - 0.021 0.3 0.2 Oranges 742 0 0.010 - 0.050 0.3 0.2 Spinach, Canned 371 0 0.038 ^ NT - Sweet Bell Peppers 558 0 0.0009 ^ NT - Sweet Potatoes 739 7 0.9 0.003 - 0.060 0.002 - 0.009 0.1 0.1 Winter Squash 262 0 0.038 ^ NT - TOTA L 5,463 7

Aldicarb sulfoxide (metabolite of Aldicarb ) Apples 528 0 0.0003 ^ NT - Cantaloupe 527 0 0.038 ^ NT - Cauliflowe r 185 0 0.001 ^ NT - Cucumbers 395 0 0.010 - 0.026 NT - Grapes 526 0 0.010 ^ NT 0.2 Grean Beans, Canned 131 0 0.020 ^ NT - Green Beans 387 0 0.020 ^ NT - Lettuce 438 0 0.0003 ^ NT - Orange Juice 186 0 0.010 - 0.027 0.3 0.2 Oranges 742 0 0.010 - 0.027 0.3 0.2 Pears 525 0 0.010 ^ NT - Spinach, Canned 371 0 0.038 ^ NT - Sweet Bell Peppers 510 0 0.0003 ^ NT - Sweet Potatoes 739 8 1.1 0.003 - 0.077 0.002 - 0.005 0.1 0.1 Winter Squash 262 0 0.038 ^ NT - TOTA L 6,452 8

Aldrin (insecticide) (parent of Dieldrin) Apples 744 0 0.007 - 0.024 0.03 AL 0.05 Cantaloupe 215 0 0.008 ^ 0.1 AL 0.1 Cauliflowe r 185 0 0.024 ^ 0.03 AL - Grapes 526 0 0.002 ^ 0.05 AL - Grean Beans, Canned 185 0 0.002 - 0.008 0.05 AL 0.05 Green Beans 547 0 0.002 - 0.008 0.05 AL 0.05 Lettuce 743 0 0.007 - 0.024 0.03 AL 0.05 Orange Juice 186 0 0.008 ^ 0.02 AL 0.05 Oranges 742 0 0.008 ^ 0.02 AL 0.05 Peaches, Canned 743 0 0.006 ^ 0.02 AL - Pears 741 0 0.002 - 0.008 0.03 AL 0.05 Sweet Bell Peppers 558 0 0.007 ^ 0.05 AL - Sweet Potatoes 743 0 0.003 - 0.008 0.1 AL 0.1 Tomatoes 744 0 0.006 ^ 0.05 AL - Winter Squash 102 0 0.008 ^ 0.1 AL 0.1 TOTA L 7,704 0

Allethrin (insecticide) Apples 216 0 0.010 ^ E x
- Cantaloupe 742 0 0.010 - 0.016 4 - Grapes 738 0 0.010 - 0.015 4 - Orange Juice 186 0 0.010 ^ E x
- Oranges 742 0 0.010 ^ E x
- Peaches, Canned 743 0 0.031 ^ E x
- Pears 719 8 1.1 0.015 - 0.035 0.010 - 0.030 E x
- Spinach, Canned 371 0 0.016 ^ E x
- Tomatoes 744 1 0.1 0.052 ^ 0.031 ^ E x
- Winter Squash 262 0 0.016 ^ NT - TOTA L 5,463 9
Ametryn (herbicide ) Cucumbers 395 0 0.010 - 0.011 NT - Orange Juice 132 0 0.010 ^ NT - Oranges 527 0 0.010 ^ NT - TOTA L 1,054 0
Appendix B. Page 2 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm Anilazine (fungicide) Grean Beans, Canned 131 0 0.023 ^ NT - Green Beans 387 0 0.023 ^ NT - TOTA L 518 0

Atrazine (herbicide) Apples 528 0 0.002 - 0.006 NT - Cantaloupe 527 0 0.024 ^ NT - Cauliflowe r 185 0 0.006 ^ NT - Cucumbers 395 0 0.010 - 0.011 NT - Grapes 526 0 0.008 ^ NT - Grean Beans, Canned 131 0 0.015 ^ NT - Green Beans 387 0 0.015 ^ NT - Lettuce (V-4) 527 4 0.8 0.003 - 0.011 0.002 ^ NT - Orange Juice 132 0 0.010 ^ NT - Oranges 527 0 0.010 ^ NT - Pears 525 0 0.008 ^ NT - Spinach, Canned 371 0 0.024 ^ NT - Sweet Bell Peppers 558 0 0.002 ^ NT - Winter Squash 262 0 0.024 ^ NT - TOTA L 5,581 4

Azinphos methyl (insecticide ) Apples 744 303 40.7 0.013 - 0.32 0.008 - 0.012 1.5 2 Cantaloupe 742 0 0.008 - 0.012 2.0 0.2 Cucumbers 557 0 0.008 ^ 2.0 0.2 Grapes 526 3 0.6 0.018 - 0.052 0.011 ^ 4.0 1 Grean Beans, Canned 185 0 0.005 - 0.008 2.0 0.5 Green Beans 548 0 0.005 - 0.008 2.0 0.5 Lettuce 527 0 0.012 ^ NT 0.5 Orange Juice 186 0 0.008 ^ 2.0 1 Oranges 742 0 0.008 ^ 2.0 1 Peaches, Canned 743 0 0.023 ^ 2.0 2 Pears 719 252 35.0 0.013 - 0.42 0.008 - 0.011 1.5 2 Spinach, Canned 371 0 0.012 ^ 2.0 0.5 Strawberries 211 0 0.008 ^ 2.0 1 Sweet Bell Peppers 558 0 0.012 ^ 0.3 1 Tomatoes 744 0 0.023 ^ 2.0 1 Winter Squash 262 0 0.012 ^ NT 0.5 TOTA L 8,365 558

Azoxystrobin (fungicide ) Apples 147 0 0.002 ^ NT - Cauliflowe r 169 0 0.002 ^ 3.0 - Grapes 526 16 3 0.002 - 0.19 0.002 ^ 1.0 - Lettuce 116 1 0.9 0.032 ^ 0.002 ^ 30.0 - Orange Juice 132 0 0.010 ^ 1.0 - Oranges 527 0 0.010 ^ 1.0 - Pears 525 0 0.002 ^ NT - TOTA L 2,142 17

Bendiocarb (insecticide)

Apples 744 0 0.002 - 0.040 SU - Cantaloupe 215 0 0.002 ^ SU - Cauliflowe r 185 0 0.040 ^ SU - Grapes 738 0 0.002 - 0.005 SU - Lettuce 743 0 0.002 - 0.040 SU - Orange Juice 186 0 0.002 - 0.010 SU - Oranges 742 0 0.002 - 0.010 SU - Pears 741 0 0.002 - 0.005 SU - Strawberries 729 0 0.001 - 0.002 SU - Winter Squash 102 0 0.002 ^ SU - TOTAL 5,125 0

Appendix B. Page 3 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm Benfluralin (herbicide) Lettuce 162 0 0.020 ^ 0.05 - TOTA L 162 0

BHC alpha (insecticide)

Apples 744 0 0.002 - 0.007 0.05 AL - Cantaloupe 742 0 0.002 - 0.004 0.05 AL - Cauliflowe r 185 0 0.007 ^ 0.05 AL - Grapes 526 0 0.002 ^ 0.05 AL - Grean Beans, Canned 131 0 0.001 ^ 0.05 AL - Green Beans 387 0 0.0008 - 0.001 0.05 AL - Lettuce 743 0 0.002 - 0.007 0.05 AL - Orange Juice 186 0 0.002 ^ 0.05 AL - Oranges 742 0 0.002 ^ 0.05 AL - Peaches, Canned 743 0 0.003 ^ 0.05 AL - Pears 741 0 0.002 ^ 0.05 AL - Spinach, Canned 371 0 0.004 ^ 0.05 AL - Strawberries 211 0 0.002 ^ 0.05 AL - Sweet Bell Peppers 558 0 0.007 ^ 0.05 AL - Sweet Potatoes 505 0 0.002 ^ 0.05 AL - Tomatoes 744 0 0.003 ^ 0.05 AL - Winter Squash 364 0 0.002 - 0.004 0.5 AL - TOTA L 8,623 0

BHC beta (isomer of BHC alpha)

Grean Beans, Canned 131 0 0.001 ^ 0.05 AL - Green Beans 387 0 0.0008 - 0.001 0.05 AL - Peaches, Canned 743 0 0.003 ^ 0.05 AL - Sweet Potatoes 527 0 0.002 ^ 0.05 AL - Tomatoes 744 0 0.003 ^ 0.05 AL - TOTA L 2,532 0

Bifenazate (acaricide)

Apples 216 1 0.5 0.033 ^ 0.020 ^ 0.75 - Cantaloupe 87 0 0.013 ^ 0.75 - Grapes 212 3 1.4 0.033 ^ 0.020 ^ 0.75 - Pears 216 3 1.4 0.033 ^ 0.020 ^ 0.75 - Strawberries 211 14 6.6 0.033 - 0.40 0.020 ^ 1.5 - Winter Squash 232 0 0.013 - 0.020 0.75 - TOTA L 1,174 21

Bifenthrin (insecticide)

Apples 546 0 0.003 - 0.010 0.05 - Cantaloupe 742 0 0.010 - 0.016 0.4 - Cauliflowe r 185 0 0.003 ^ 0.6 - Cucumbers 557 2 0.4 0.017 ^ 0.010 - 0.011 0.4 - Grapes 738 0 0.010 - 0.011 0.2 - Grean Beans, Canned 185 9 4.9 0.013 - 0.017 0.008 - 0.010 0.6 - Green Beans 548 20 3.6 0.012 - 0.12 0.008 - 0.010 0.6 - Lettuce 743 0 0.003 - 0.010 3.0 - Orange Juice 186 0 0.010 ^ 0.05 0.05 Oranges 742 0 0.010 ^ 0.05 0.05 Pears 741 0 0.010 - 0.011 0.5 0.5 Spinach, Canned 371 0 0.016 ^ 0.2 - Strawberries 731 50 6.8 0.017 - 0.30 0.010 - 0.040 3.00 1 Sweet Bell Peppers 558 74 13.3 0.005 - 0.096 0.003 ^ 0.5 - Sweet Potatoes 743 1 0.1 0.017 ^ 0.010 - 0.016 0.05 - Winter Squash 364 8 2.2 0.017 ^ 0.010 - 0.016 0.4 - TOTA L 8,680 164

Boscalid (fungicide)

Cantaloupe 87 0 0.039 ^ 1.6 - Cauliflowe r 169 0 0.006 ^ 3.0 -

Appendix B. Page 4 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm
Lettuce 131 1 0.8 0.038 ^ 0.006 ^ 11.0 - Winter Squash 130 0 0.039 ^ 1.6 - TOTA L 517 1

Bromacil (herbicide)

Cucumbers 395 0 0.015 ^ NT - Orange Juice 186 0 0.010 - 0.015 0.1 - Oranges 742 0 0.010 - 0.015 0.1 - TOTA L 1,323 0

Buprofezin (insecticide)

Cantaloupe 215 0 0.015 ^ 0.50 - Cucumbers 557 0 0.009 - 0.015 0.50 1 Grapes 738 3 0.4 0.015 - 0.031 0.015 ^ 0.40 - Lettuce 216 0 0.015 ^ 13.0 - Orange Juice 186 0 0.015 ^ 2.0 0.5 Oranges 742 0 0.015 ^ 2.0 0.5 Pears 525 0 0.015 ^ NT - Winter Squash 102 0 0.015 ^ 0.50 - TOTA L 3,281 3

Butylate (herbicide )

Cantaloupe 527 0 0.016 ^ NT - Spinach, Canned 371 0 0.016 ^ NT - Winter Squash 262 0 0.016 ^ NT - TOTA L 1,160 0

Captafol (fungicide) (parent of THPI) Cantaloupe 527 0 0.017 ^ NT - Grapes 526 0 0.015 ^ NT - Grean Beans, Canned 131 0 0.030 ^ NT - Green Beans 387 0 0.030 ^ NT - Pears 525 0 0.015 - 0.25 NT - Spinach, Canned 371 0 0.017 ^ NT - Tomatoes 744 0 0.040 ^ 15 - Winter Squash 262 0 0.017 ^ NT - TOTA L 3,473 0

Captan (fungicide) (parent of THPI)

Apples 392 42 10.7 0.020 - 1.3 0.012 - 0.019 25 25 Cantaloupe 563 0 0.012 ^ 25 - Cucumbers 485 0 0.012 ^ 25 - Grapes 720 142 19.7 0.012 - 1.2 0.008 - 0.025 50 - Grean Beans, Canned 185 0 0.005 - 0.012 25 - Green Beans 406 7 1.7 0.008 - 0.21 0.005 - 0.012 25 - Lettuce 374 1 0.3 0.032 ^ 0.012 - 0.019 100 - Orange Juice 132 0 0.012 ^ NT - Oranges 527 0 0.012 ^ NT - Peaches, Canned 743 0 0.012 ^ 50 15 Pears 741 65 8.8 0.012 - 1.2 0.008 - 0.025 25 25 Spinach, Canned 371 0 0.012 ^ 100 - Strawberries 731 504 68.9 0.020 - 16 0.012 - 0.019 25 20 Sweet Bell Peppers 248 30 12.1 0.032 - 0.86 0.019 ^ 25 - Tomatoes 744 0 0.012 ^ 25 15 Winter Squash 298 0 0.012 ^ 25 - TOTA L 7,660 791

Carbaryl (insecticide )

Apples 744 66 8.9 0.0005 - 0.49 0.0003 - 0.002 10.0 5 Cantaloupe 742 26 3.5 0.003 - 0.61 0.002 - 0.008 10 - Cauliflowe r 185 0 0.0003 ^ 10 - Cucumbers 557 14 2.5 0.003 - 0.043 0.002 - 0.010 10 -

Appendix B. Page 5 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm Grapes 738 35 4.7 0.003 - 0.58 0.002 - 0.010 10 5 Grean Beans, Canned 185 0 0.002 - 0.010 10 - Green Beans 548 4 0.7 0.010 - 0.24 0.002 - 0.010 10 - Lettuce 743 3 0.4 0.003 - 0.005 0.001 - 0.002 10 - Orange Juice 186 21 11.3 0.003 - 0.010 0.002 - 0.010 10 7 Oranges 742 14 1.9 0.003 - 0.059 0.002 - 0.010 10 7 Peaches, Canned 743 96 12.9 0.017 - 0.24 0.010 ^ 10 10 Pears 741 41 5.5 0.003 - 0.46 0.002 - 0.010 10.0 5 Spinach, Canned 371 0 0.008 ^ 12 - Strawberries 729 36 4.9 0.003 - 1.1 0.002 ^ 10 - Sweet Bell Peppers 558 40 7.2 0.001 - 0.81 0.001 ^ 10 5 Sweet Potatoes 653 0 0.002 ^ 0.2 0.02 Tomatoes 744 0 0.010 ^ 10 5 Winter Squash 364 0 0.002 - 0.008 10 - TOTA L 10,273 396

Carbendazim - MBC (fungicide)

Apples 528 107 20.3 0.0002 - 0.21 0.0001 ^ 7.0 3 Cauliflowe r 185 0 0.0001 ^ 0.2 - Lettuce (V-7) 527 7 1.3 0.0002 - 0.0003 0.0001 ^ NT - Pears 66 0 0.010 ^ 7.0 3 Sweet Bell Peppers 558 156 28.0 0.0002 - 0.24 0.0001 ^ 0.2 - Sweet Potatoes 523 0 0.004 ^ 0.2 - TOTA L 2,387 270

Carbofuran (insecticide) (parent of 3-Hydroxycarbofuran )

Apples 528 0 0.0003 ^ NT - Cantaloupe 742 2 0.3 0.003 - 0.014 0.002 - 0.008 0.2 - Cauliflowe r 185 0 0.0003 ^ NT - Cucumbers 557 4 0.7 0.003 - 0.061 0.002 - 0.018 0.2 - Grapes 562 0 0.002 - 0.013 0.2 - Grean Beans, Canned 131 0 0.015 ^ NT - Green Beans (V-1) 388 1 0.3 0.003 ^ 0.002 - 0.015 NT - Lettuce 527 0 0.0003 ^ NT - Orange Juice 132 0 0.010 ^ NT - Oranges 527 0 0.010 ^ NT - Pears 525 0 0.010 ^ NT - Spinach, Canned 371 0 0.008 ^ NT - Strawberries 729 0 0.001 - 0.002 0.2 - Sweet Bell Peppers 558 7 1.3 0.0005 - 0.024 0.0003 ^ 0.2 - Winter Squash 364 0 0.002 - 0.008 0.6 - TOTA L 6,826 14

Carbophenothion (insecticide)

Apples 528 0 0.002 ^ NT - Cauliflowe r 185 0 0.002 ^ NT - Lettuce 527 0 0.002 ^ NT - Sweet Bell Peppers 558 0 0.002 ^ NT - TOTA L 1,798 0

Carboxin (fungicide) Cantaloupe 527 0 0.016 ^ NT - Grean Beans, Canned 54 0 0.008 ^ 0.2 - Green Beans 161 0 0.008 ^ 0.2 - Spinach, Canned 371 0 0.016 ^ NT - Winter Squash 262 0 0.016 ^ NT - TOTA L 1,375 0

Carfentrazone ethyl (herbicide ) Grapes 526 0 0.008 ^ NT - Pears 525 0 0.008 ^ NT - Tomatoes 744 0 0.036 ^ 0.10 - TOTA L 1,795 0

Appendix B. Page 6 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm Chlordane cis (insecticide) (isomer of Chlordane)

Apples 744 0 0.0007 - 0.002 0.1 AL 0.02 Cantaloupe 742 0 0.002 - 0.004 0.1 AL 0.02 Cauliflowe r 185 0 0.0007 ^ 0.1 AL 0.02 Grapes 526 0 0.002 ^ 0.1 AL 0.02 Grean Beans, Canned 185 0 0.001 - 0.002 0.1 AL 0.02 Green Beans 548 0 0.0008 - 0.002 0.1 AL 0.02 Lettuce 743 1 0.1 0.001 ^ 0.0007 - 0.002 0.1 AL 0.02 Orange Juice 186 0 0.002 - 0.012 0.1 AL 0.02 Oranges 742 0 0.002 - 0.012 0.1 AL 0.02 Peaches, Canned 743 0 0.003 ^ 0.1 AL 0.02 Pears 741 0 0.002 ^ 0.1 AL 0.02 Spinach, Canned 371 0 0.004 ^ 0.1 AL 0.02 Strawberries 211 0 0.002 ^ 0.1 AL 0.02 Sweet Bell Peppers 558 0 0.0007 ^ 0.1 AL 0.02 Sweet Potatoes 743 0 0.002 - 0.019 0.1 AL 0.02 Tomatoes 744 0 0.003 ^ 0.1 AL 0.02 Winter Squash 364 13 3.6 0.003 - 0.024 0.002 - 0.004 0.1 AL 0.02 TOTA L 9,076 14

Chlordane trans (insecticide) (isomer of Chlordane)

Apples 744 0 0.0007 - 0.002 0.1 AL 0.02 Cantaloupe 742 0 0.002 - 0.004 0.1 AL 0.02 Cauliflowe r 185 0 0.0007 ^ 0.1 AL 0.02 Grapes 526 0 0.002 ^ 0.1 AL 0.02 Grean Beans, Canned 185 0 0.001 - 0.002 0.1 AL 0.02 Green Beans 548 0 0.0008 - 0.002 0.1 AL 0.02 Lettuce 743 1 0.1 0.001 ^ 0.0007 - 0.002 0.1 AL 0.02 Orange Juice 186 0 0.002 - 0.012 0.1 AL 0.02 Oranges 742 0 0.002 - 0.012 0.1 AL 0.02 Peaches, Canned 743 0 0.003 ^ 0.1 AL 0.02 Pears 741 0 0.002 ^ 0.1 AL 0.02 Spinach, Canned 371 0 0.004 ^ 0.1 AL 0.02 Strawberries 211 0 0.002 ^ 0.1 AL 0.02 Sweet Bell Peppers 558 0 0.0007 ^ 0.1 AL 0.02 Sweet Potatoes 743 0 0.002 - 0.020 0.1 AL 0.02 Tomatoes 744 0 0.003 ^ 0.1 AL 0.02 Winter Squash 364 9 2.5 0.003 - 0.020 0.002 - 0.004 0.1 AL 0.02 TOTA L 9,076 10

Chlorethoxyfos (insecticide ) Cantaloupe 527 0 0.016 ^ NT - Oranges 286 0 0.003 ^ NT - Spinach, Canned 371 0 0.016 ^ NT - Winter Squash 262 0 0.016 ^ NT - TOTA L 1,446 0

Chlorfenvinphos total (insecticide)

Apples 528 0 0.004 ^ NT - Cauliflowe r 185 0 0.004 ^ NT - Lettuce 527 0 0.004 ^ NT - Sweet Bell Peppers 558 0 0.004 ^ NT - TOTA L 1,798 0

Chlorothalonil (fungicide) Cantaloupe 302 0 0.005 - 0.007 5 2 Cucumbers 557 26 4.7 0.008 - 0.090 0.005 - 0.008 5 5 Grapes 526 0 0.002 - 0.008 NT 0.5 Grean Beans, Canned 185 0 0.002 - 0.005 5 5 Green Beans 548 158 28.8 0.003 - 0.46 0.002 - 0.005 5 5

Appendix B. Page 7 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm Lettuce (V-1) 1 1 100 0.008 ^ 0.005 ^ NT - Orange Juice 132 0 0.008 ^ NT - Oranges 527 0 0.008 ^ NT - Peaches, Canned 743 0 0.008 ^ 0.5 0.2 Pears 525 0 0.002 ^ NT - Strawberries 69 0 0.005 ^ NT - Tomatoes 744 47 6.3 0.013 - 0.25 0.008 ^ 5 5 Winter Squash 244 32 13.1 0.008 - 0.42 0.005 - 0.007 5 5 TOTA L 5,103 264

Chlorpropham (herbicide, growth regulator)

Apples (V-1) 528 1 0.2 0.010 ^ 0.006 ^ NT - Cantaloupe 527 0 0.017 ^ NT - Cauliflowe r 185 0 0.006 ^ NT - Cucumbers (V-2) 396 2 0.5 0.017 ^ 0.010 - 0.011 NT - Grapes 526 0 0.011 ^ NT - Grean Beans, Canned 131 0 0.023 ^ NT - Green Beans 387 0 0.023 ^ NT - Lettuce 527 0 0.006 ^ NT - Orange Juice 132 0 0.010 ^ NT - Oranges 527 0 0.010 ^ NT - Pears (V-1) 525 1 0.2 0.018 ^ 0.011 ^ NT - Spinach, Canned 371 0 0.017 ^ 0.3 - Sweet Bell Peppers (V-9) 558 9 1.6 0.010 ^ 0.006 ^ NT - Sweet Potatoes (V-2) 2 2 100 0.017 ^ 0.010 ^ NT - Winter Squash 262 0 0.017 ^ NT - TOTA L 5,584 15

Chlorpyrifos (insecticide )

Apples 744 9 1.2 0.002 - 0.016 0.001 - 0.004 1.5 1 Cantaloupe 742 6 0.8 0.007 ^ 0.004 ^ 0.1 - Cauliflowe r 185 0 0.001 ^ 1.0 0.05 Cucumbers (X-1) 557 14 2.5 0.007 - 0.12 0.004 ^ 0.05 - Grapes 738 88 11.9 0.006 - 0.32 0.004 ^ 0.5 0.5 Grean Beans, Canned 185 0 0.004 - 0.005 0.05 0.01 Green Beans 548 1 0.2 0.007 ^ 0.004 - 0.005 0.05 0.01 Lettuce 743 23 3.1 0.002 - 0.026 0.001 - 0.004 0.1 - Orange Juice 186 0 0.004 ^ 1.0 1 Oranges 742 6 0.8 0.007 ^ 0.004 ^ 1.0 1 Peaches, Canned 743 0 0.010 ^ 0.05 0.5 Pears 741 16 2.2 0.006 - 0.041 0.004 ^ 0.05 1 Spinach, Canned 371 3 0.8 0.007 ^ 0.004 ^ 0.1 - Strawberries 731 30 4.1 0.001 - 0.040 0.0008 - 0.004 0.2 0.3 Sweet Bell Peppers 558 98 17.6 0.002 - 0.47 0.001 ^ 1.0 2 Sweet Potatoes 743 51 6.9 0.002 - 0.035 0.001 - 0.004 0.05 - Tomatoes 744 20 2.7 0.017 - 0.17 0.010 ^ 0.5 0.5 Winter Squash 364 2 0.5 0.007 - 0.018 0.004 ^ 0.1 - TOTA L 10,365 367

Chlorpyrifos methyl (insecticide) Grapes 109 0 0.005 ^ NT 0.2 Green Beans 301 0 0.004 ^ NT 0.1 Pears 86 0 0.005 ^ NT - TOTA L 496 0

Clofentezine (insecticide)

Apples 216 0 0.007 ^ 0.5 0.5 Pears 216 2 0.9 0.011 ^ 0.007 ^ 0.5 0.5 TOTA L 432 2

Clomazone (herbicide)

Apples 483 0 0.002 - 0.005 NT - Cantaloupe 742 0 0.004 - 0.040 0.05 -

Appendix B. Page 8 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm
Cauliflowe r 185 0 0.002 ^ NT - Cucumbers 557 0 0.008 - 0.009 0.1 - Grapes 526 0 0.015 ^ NT - Grean Beans, Canned 185 0 0.005 - 0.008 0.05 - Green Beans 548 0 0.005 - 0.008 0.05 - Lettuce 512 0 0.002 - 0.005 NT - Orange Juice 132 0 0.008 ^ NT - Oranges 527 0 0.008 ^ NT - Pears 525 0 0.015 ^ NT - Spinach, Canned 371 0 0.004 - 0.040 NT - Sweet Bell Peppers 542 0 0.005 ^ 0.05 - Sweet Potatoes 743 0 0.008 - 0.023 0.05 - Winter Squash 364 0 0.008 - 0.040 0.1 - TOTA L 6,942 0

Coumaphos (insecticide)

Apples 528 0 0.006 ^ NT - Lettuce 527 0 0.006 ^ NT - Sweet Bell Peppers 558 0 0.006 ^ NT - TOTA L 1,613 0

Coumaphos oxygen analog (metabolite of Coumaphos)

Apples 528 0 0.008 ^ NT - Lettuce 527 0 0.008 ^ NT - Sweet Bell Peppers 558 0 0.008 ^ NT - TOTA L 1,613 0

Cycloate (herbicide ) Cantaloupe 527 0 0.016 ^ NT - Spinach, Canned 371 0 0.016 ^ 0.05 - Winter Squash 262 0 0.016 ^ NT - TOTA L 1,160 0

Cyfluthrin (insecticide )

Apples 744 0 0.030 - 0.14 0.05 0.5 Cantaloupe 742 0 0.030 ^ 0.05 - Cauliflowe r 185 0 0.14 ^ 2.5 - Cucumbers 395 0 0.060 ^ 0.05 - Grapes 738 0 0.023 - 0.030 0.05 - Grean Beans, Canned 131 0 0.045 ^ 0.05 - Green Beans 387 0 0.045 ^ 0.05 - Lettuce 743 9 1.2 0.050 - 2.8 0.030 - 0.14 3.0 - Orange Juice 186 0 0.030 - 0.060 0.2 - Oranges 742 0 0.030 - 0.060 0.2 - Pears 741 0 0.023 - 0.030 0.05 - Spinach, Canned 371 0 0.030 ^ 0.05 - Strawberries 731 0 0.024 - 0.030 0.05 - Sweet Bell Peppers 558 1 0.2 0.068 ^ 0.041 - 0.57 0.50 0.2 Tomatoes 744 0 0.079 ^ 0.20 0.5 Winter Squash 364 0 0.030 ^ 0.05 - TOTA L 8,502 10

Cyhalothrin, Total (Cyhalothrin-L + R157836 epimer) (insecticide) * * Apples 528 10 1.9 0.010 - 0.033 0.006 - 0.020 0.30 0.2 Cantaloupe 527 0 0.016 ^ 0.01 - Cauliflowe r 185 0 0.020 ^ 0.4 - Grapes 482 0 0.015 ^ 0.01 - Lettuce 527 37 7.0 0.010 - 0.40 0.006 ^ 2.0 - Orange Juice 132 0 0.060 ^ 0.01 - Oranges 175 0 0.060 ^ 0.01 - Pears 327 0 0.015 ^ 0.30 0.2 Spinach, Canned 371 0 0.016 ^ 0.01 - Strawberries (X-2 ) 520 2 0.4 0.031 - 0.037 0.008 ^ 0.01 -
Appendix B. Page 9 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm Sweet Bell Peppers 558 13 2.3 0.010 - 0.038 0.006 ^ 0.20 - Winter Squash 262 0 0.016 ^ 0.01 - TOTA L 4,594 62

Cyhalothrin, Lambda (includes gamma isomer) (insecticide)

Apples 216 0 0.010 ^ 0.30 0.2 Cantaloupe 215 0 0.010 ^ 0.01 - Cucumbers 263 0 0.060 ^ 0.01 - Grapes 256 0 0.010 - 0.015 0.01 - Grean Beans, Canned 185 0 0.010 - 0.030 0.20 - Green Beans 548 1 0.2 0.017 ^ 0.010 - 0.030 0.20 - Lettuce 216 13 6.0 0.017 - 1.0 0.010 ^ 2.0 - Orange Juice 54 0 0.010 ^ 0.01 - Oranges 567 0 0.010 - 0.060 0.01 - Pears 414 0 0.010 - 0.015 0.30 0.2 Strawberries (X-2 ) 211 3 1.4 0.017 - 0.060 0.010 ^ 0.01 - Sweet Potatoes 216 0 0.010 ^ 0.01 - Tomatoes 744 0 0.047 ^ 0.10 - Winter Squash 102 0 0.010 ^ 0.01 - TOTA L 4,207 17

Cypermethrin (insecticide )

Apples 744 0 0.030 - 0.17 NT 2 Cantaloupe 742 0 0.030 ^ NT - Cauliflowe r 185 0 0.17 ^ 2.0 1 Cucumbers (V-1) 396 1 0.3 0.050 ^ 0.030 - 0.036 NT 0.2 Grapes 526 0 0.023 ^ NT 0.5 Grean Beans, Canned 132 6 4.5 0.025 - 0.050 0.015 - 0.030 0.5 0.5 Green Beans 387 8 2.1 0.025 ^ 0.015 ^ 0.5 0.5 Lettuce 743 63 8.5 0.050 - 0.90 0.030 - 0.17 10.0 2 Orange Juice 132 0 0.035 ^ NT 2 Oranges 527 0 0.035 ^ NT 2 Pears 741 0 0.023 - 0.030 NT 2 Spinach, Canned 371 86 23.2 0.050 - 0.90 0.030 ^ 10.0 2 Sweet Bell Peppers 558 0 0.051 ^ 0.2 0.5 Sweet Potatoes 743 0 0.027 - 0.030 NT 0.05 Tomatoes 744 0 0.057 ^ 0.2 0.5 Winter Squash 364 0 0.030 ^ NT - TOTA L 8,035 164

Cyprodinil (fungicide)

Apples 216 2 0.9 0.013 - 0.030 0.008 ^ 0.1 - Grapes 738 181 24.5 0.008 - 0.83 0.008 ^ 2.0 - Peaches, Canned 743 19 2.6 0.017 - 0.040 0.010 ^ 2.0 - Pears 741 0 0.008 ^ 0.1 - Strawberries 731 105 14.4 0.013 - 0.99 0.008 - 0.092 5 - TOTA L 3,169 307

Cyromazine (insect growth regulator)

Apples 499 0 0.002 ^ NT - Cauliflowe r 185 0 0.002 ^ 10.0 - Lettuce 512 20 3.9 0.004 - 0.040 0.002 ^ 7.0 5 Sweet Bell Peppers 513 29 5.7 0.004 - 0.036 0.002 ^ 1.0 1 TOTA L 1,709 49

DCPA (herbicide )

Apples 528 0 0.0007 ^ NT - Cantaloupe 742 0 0.006 - 0.007 1 - Cauliflowe r 185 15 8.1 0.001 - 0.007 0.0007 ^ 5 - Cucumbers 557 0 0.006 ^ 1 - Grapes 526 0 0.002 ^ NT - Grean Beans, Canned 185 0 0.002 - 0.006 2 - Green Beans 548 3 0.5 0.003 - 0.010 0.002 - 0.006 2 -
Appendix B. Page 10 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm
Lettuce 743 202 27.2 0.001 - 0.29 0.0007 - 0.006 2 - Orange Juice 132 0 0.006 ^ NT - Oranges 527 0 0.006 ^ NT - Pears 525 0 0.002 ^ NT - Spinach, Canned (V-25) 371 25 6.7 0.012 - 0.044 0.007 ^ NT - Strawberries 731 0 0.006 ^ 2 - Sweet Bell Peppers 558 11 2.0 0.001 - 0.017 0.0007 ^ 2 - Sweet Potatoes 743 0 0.003 - 0.006 2 - Tomatoes 744 0 0.006 ^ 1 - Winter Squash 364 0 0.006 - 0.007 1 - TOTA L 8,709 256

DDD o,p' (metabolite of DDT)

Apples 528 0 0.001 ^ 0.1 AL - Cauliflowe r 185 0 0.001 ^ 0.5 AL - Lettuce 527 0 0.001 ^ 0.5 AL - Sweet Bell Peppers 558 0 0.001 ^ 0.1 AL - TOTA L 1,798 0

DDD p,p' (metabolite of DDT)

Apples 744 0 0.001 - 0.008 0.1 AL - Cantaloupe 742 0 0.008 - 0.020 0.1 AL - Cauliflowe r 185 0 0.001 ^ 0.5 AL - Cucumbers 557 0 0.008 ^ 0.1 AL - Grapes 738 0 0.005 - 0.008 0.05 AL - Grean Beans, Canned 185 0 0.008 - 0.010 0.2 AL - Green Beans 548 0 0.008 - 0.010 0.2 AL - Lettuce 743 0 0.001 - 0.008 0.5 AL - Orange Juice 186 0 0.008 ^ 0.1 AL - Oranges 742 0 0.008 ^ 0.1 AL - Pears 741 0 0.005 - 0.008 0.1 AL - Spinach, Canned 371 0 0.020 ^ 0.5 AL - Strawberries 211 0 0.008 ^ 0.1 AL - Sweet Bell Peppers 558 0 0.001 ^ 0.1 AL - Sweet Potatoes 216 0 0.008 ^ 1 AL - Winter Squash 364 0 0.008 - 0.020 0.1 AL - TOTA L 7,831 0

DDE p,p' (metabolite of DDT)

Apples 744 0 0.002 - 0.007 0.1 AL - Cantaloupe 742 0 0.007 ^ 0.1 AL - Cauliflowe r 185 0 0.002 ^ 0.5 AL - Cucumbers 557 0 0.007 ^ 0.1 AL - Grapes 738 0 0.005 - 0.007 0.05 AL - Grean Beans, Canned 185 0 0.002 - 0.007 0.2 AL - Green Beans 548 12 2.2 0.003 - 0.012 0.002 - 0.007 0.2 AL - Lettuce 743 84 11.3 0.003 - 0.023 0.002 - 0.007 0.5 AL - Orange Juice 186 0 0.007 ^ 0.1 AL - Oranges 742 0 0.007 ^ 0.1 AL - Peaches, Canned 743 0 0.005 ^ 0.2 AL - Pears 741 0 0.005 - 0.007 0.1 AL - Spinach, Canned 371 40 10.8 0.012 ^ 0.007 ^ 0.5 AL - Strawberries 211 0 0.007 ^ 0.1 AL - Sweet Bell Peppers 558 2 0.4 0.003 ^ 0.002 ^ 0.1 AL - Sweet Potatoes 743 2 0.3 0.003 ^ 0.002 - 0.007 1 AL - Tomatoes 744 0 0.005 ^ 0.05 AL - Winter Squash 364 7 1.9 0.012 - 0.034 0.007 ^ 0.1 AL - TOTA L 9,845 147

Appendix B. Page 11 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm DDT o,p' (insecticide)

Apples 528 0 0.001 ^ 0.1 AL - Cauliflowe r 185 0 0.001 ^ 0.5 AL - Lettuce 527 9 1.7 0.002 ^ 0.001 ^ 0.5 AL - Sweet Bell Peppers 558 0 0.001 ^ 0.1 AL - TOTA L 1,798 9

DDT p,p' (insecticide)

Apples 744 0 0.002 - 0.008 0.1 AL - Cantaloupe 215 0 0.008 ^ 0.1 AL - Cauliflowe r 185 0 0.002 ^ 0.5 AL - Cucumbers 557 0 0.008 ^ 0.1 AL - Grapes 738 0 0.005 - 0.008 0.05 AL - Grean Beans, Canned 185 0 0.008 - 0.010 0.2 AL - Green Beans 548 0 0.008 - 0.010 0.2 AL - Lettuce 743 7 0.9 0.003 ^ 0.002 - 0.008 0.5 AL - Orange Juice 186 0 0.008 ^ 0.1 AL - Oranges 742 0 0.008 ^ 0.1 AL - Pears 741 0 0.005 - 0.008 0.1 AL - Strawberries 211 0 0.008 ^ 0.1 AL - Sweet Bell Peppers 558 0 0.002 ^ 0.1 AL - Sweet Potatoes 216 0 0.008 ^ 1 AL - Winter Squash 102 0 0.008 ^ 0.1 AL - TOTA L 6,671 7

Deltamethrin (insecticide) (includes parent Tralomethrin)

Apples 744 0 0.015 - 0.33 0.05 0.2 Cantaloupe 742 0 0.015 - 0.24 0.05 0.2 Cucumbers 557 0 0.015 - 0.020 0.05 0.2 Grapes 738 0 0.015 - 0.023 0.05 0.2 Lettuce 567 0 0.015 - 0.33 0.05 0.5 Orange Juice 186 0 0.015 - 0.018 0.05 0.02 Oranges 742 0 0.015 - 0.018 0.05 0.02 Pears 741 0 0.015 - 0.023 0.05 - Spinach, Canned 371 0 0.24 ^ 0.05 0.5 Strawberries 731 0 0.015 - 0.11 0.05 0.2 Sweet Bell Peppers 526 0 0.024 - 0.33 0.05 - Sweet Potatoes 721 0 0.015 - 0.048 0.05 - Winter Squash 364 0 0.015 - 0.24 0.05 0.2 TOTA L 7,730 0

Diazinon (insecticide)

Apples 744 8 1.1 0.003 - 0.050 0.002 - 0.004 0.5 0.3 Cantaloupe 742 1 0.1 0.003 ^ 0.002 - 0.007 0.75 0.2 Cucumbers 557 7 1.3 0.003 - 0.018 0.002 ^ 0.75 0.1 Grapes 738 4 0.5 0.003 - 0.008 0.002 - 0.005 0.75 - Grean Beans, Canned 185 0 0.002 - 0.005 0.5 0.2 Green Beans 548 0 0.002 - 0.005 0.5 0.2 Lettuce 743 75 10.1 0.003 - 0.048 0.002 - 0.004 0.7 0.5 Orange Juice 186 0 0.002 ^ 0.7 - Oranges 742 0 0.002 ^ 0.7 - Peaches, Canned 743 0 0.015 ^ 0.7 0.2 Pears 741 6 0.8 0.003 - 0.012 0.002 - 0.005 0.5 0.3 Spinach, Canned 371 0 0.007 ^ 0.7 0.5 Strawberries 731 3 0.4 0.002 - 0.009 0.001 - 0.002 0.5 0.1 Sweet Bell Peppers 558 0 0.004 ^ 0.5 0.05 Sweet Potatoes 743 0 0.0007 - 0.002 0.1 - Tomatoes 744 1 0.1 0.025 ^ 0.015 ^ 0.75 0.5 Winter Squash 364 0 0.002 - 0.007 0.75 - TOTA L 10,180 105

Appendix B. Page 12 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm Diazinon oxygen analog (metabolite of Diazinon)

Apples 744 0 0.003 ^ NT - Cantaloupe 742 0 0.003 - 0.016 NT - Cauliflowe r 185 0 0.003 ^ NT - Cucumbers 557 0 0.003 ^ NT - Grapes 738 0 0.001 - 0.003 NT - Grean Beans, Canned 185 0 0.003 - 0.005 NT - Green Beans 548 0 0.003 - 0.005 NT - Lettuce 743 0 0.003 ^ NT - Orange Juice 186 0 0.003 ^ NT - Oranges 742 0 0.003 ^ NT - Peaches, Canned 743 0 0.026 ^ NT - Pears 741 0 0.001 - 0.003 NT - Spinach, Canned 371 0 0.016 ^ NT - Strawberries 211 0 0.003 ^ NT - Sweet Bell Peppers 558 0 0.003 ^ NT - Sweet Potatoes 743 0 0.001 - 0.003 NT - Tomatoes 744 0 0.026 ^ NT - Winter Squash 364 0 0.003 - 0.016 NT - TOTA L 9,845 0

Dichlobenil (herbicide)

Apples 715 0 0.005 - 0.019 0.5 - Cauliflowe r 123 0 0.064 ^ NT - Grapes 738 0 0.005 - 0.013 0.15 - Lettuce 527 0 0.019 ^ NT - Orange Juice 132 0 0.005 ^ NT - Oranges 527 0 0.005 ^ NT - Peaches, Canned 743 0 0.014 ^ 0.15 - Pears 741 0 0.005 - 0.013 0.5 - Sweet Bell Peppers 558 0 0.019 ^ NT - TOTA L 4,804 0

Dichlorvos - DDVP (insecticide) (also a metabolite of Naled)

Apples 744 0 0.002 - 0.003 0.5 - Cantaloupe 742 0 0.002 - 0.003 0.5 - Cucumbers 557 2 0.4 0.008 - 0.009 0.002 ^ 0.5 - Grapes 738 0 0.002 ^ 0.5 - Grean Beans, Canned 185 0 0.002 - 0.006 0.5 - Green Beans 548 0 0.002 - 0.006 0.5 - Lettuce 743 1 0.1 0.005 ^ 0.002 - 0.003 1 - Orange Juice 164 0 0.002 ^ 3 - Oranges 742 0 0.002 ^ 3 - Peaches, Canned 743 0 0.005 ^ 0.5 - Pears 525 0 0.002 - 0.005 0.5 - Spinach, Canned 371 0 0.003 ^ 3 - Strawberries 731 51 7.0 0.001 - 0.93 0.0007 - 0.002 1 - Sweet Bell Peppers 558 0 0.003 ^ 0.5 - Tomatoes 744 0 0.005 ^ 0.05 - Winter Squash 364 0 0.002 - 0.003 0.5 - TOTA L 9,199 54

Dicloran (fungicide)

Apples (V-1) 528 1 0.2 0.003 ^ 0.002 ^ NT - Cantaloupe 527 0 0.010 ^ NT - Cauliflowe r 185 0 0.002 ^ NT - Cucumbers 557 1 0.2 0.029 ^ 0.008 ^ 5 - Grapes 738 21 2.8 0.006 - 0.23 0.004 - 0.008 10 7 Grean Beans, Canned 185 0 0.002 - 0.008 20 - Green Beans 548 30 5.5 0.003 - 1.8 0.002 - 0.008 20 - Lettuce 743 7 0.9 0.003 - 0.013 0.002 - 0.008 10 - Orange Juice 132 0 0.008 ^ NT -

Appendix B. Page 13 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm Oranges 527 0 0.008 ^ NT - Peaches, Canned 743 0 0.009 ^ 20 7 Pears (V-2) 526 2 0.4 0.006 - 0.013 0.004 - 0.008 NT - Spinach, Canned (V-1) 371 1 0.3 0.029 ^ 0.010 ^ NT - Sweet Bell Peppers (V-1) 558 1 0.2 0.52 ^ 0.002 ^ NT - Sweet Potatoes 743 328 44.1 0.004 - 4.1 0.003 - 0.008 10 - Tomatoes 744 27 3.6 0.015 - 0.14 0.009 ^ 5 - Winter Squash 262 0 0.010 ^ NT - TOTA L 8,617 419

Dicofol o,p' (insecticide)

Apples 499 1 0.2 0.21 ^ 0.003 - 0.010 5 - Cauliflowe r 185 0 0.010 ^ NT - Lettuce 527 0 0.003 ^ NT - Strawberries 520 0 0.006 ^ 5 - Sweet Bell Peppers 558 39 7.0 0.005 - 0.084 0.003 ^ 5 1 TOTA L 2,289 40

Dicofol p,p' (isomer of Dicofol o,p')

Apples 744 5 0.7 0.005 - 0.87 0.003 - 0.010 5 - Cantaloupe 742 6 0.8 0.017 - 0.079 0.010 - 0.018 5 0.2 Cauliflowe r 185 0 0.003 ^ NT - Cucumbers 557 1 0.2 0.017 ^ 0.010 - 0.020 5 0.5 Grapes 738 2 0.3 0.055 - 0.061 0.010 - 0.015 5 5 Grean Beans, Canned 185 0 0.008 - 0.010 5 2 Green Beans 548 0 0.008 - 0.010 5 2 Lettuce 527 0 0.003 ^ NT - Orange Juice 186 0 0.010 ^ 10 5 Oranges 742 2 0.3 0.017 ^ 0.010 ^ 10 5 Peaches, Canned 743 0 0.021 ^ 10 5 Pears 741 3 0.4 0.025 - 0.11 0.010 - 0.015 5 - Spinach, Canned 371 0 0.018 ^ NT - Strawberries 731 1 0.1 0.017 ^ 0.010 ^ 5 - Sweet Bell Peppers 558 84 15.1 0.005 - 0.58 0.003 ^ 5 1 Tomatoes 744 19 2.6 0.022 - 0.21 0.013 ^ 5 1 Winter Squash 364 0 0.010 - 0.018 5 - TOTA L 9,406 123

Dieldrin (insecticide) (also a metabolite of Aldrin)

Apples 744 0 0.005 - 0.006 0.03 AL 0.05 Cantaloupe 742 6 0.8 0.010 - 0.030 0.006 - 0.018 0.1 AL 0.1 Cauliflowe r 185 0 0.005 ^ 0.03 AL - Cucumbers 557 42 7.5 0.010 - 0.040 0.006 ^ 0.1 AL 0.1 Grapes 526 0 0.002 - 0.005 0.05 AL - Grean Beans, Canned 185 0 0.001 - 0.006 0.05 AL 0.05 Green Beans 548 0 0.0008 - 0.006 0.05 AL 0.05 Lettuce 743 0 0.005 - 0.006 0.03 AL 0.05 Orange Juice 186 0 0.006 ^ 0.02 AL 0.05 Oranges 742 0 0.006 ^ 0.02 AL 0.05 Peaches, Canned 743 0 0.005 ^ 0.02 AL - Pears 741 0 0.002 - 0.006 0.03 AL 0.05 Spinach, Canned 371 0 0.018 ^ 0.05 AL 0.05 Strawberries 211 0 0.006 ^ 0.05 AL - Sweet Bell Peppers 558 0 0.005 ^ 0.05 AL - Sweet Potatoes 743 6 0.8 0.003 - 0.022 0.002 - 0.006 0.1 AL 0.1 Tomatoes 744 0 0.005 ^ 0.05 AL - Winter Squash (X-1) 364 26 7.1 0.010 - 0.20 0.006 - 0.018 0.1 AL 0.1 TOTA L 9,633 80

Appendix B. Page 14 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm Difenoconazole (fungicide)

Cantaloupe 527 0 0.072 ^ NT - Spinach, Canned 371 0 0.072 ^ NT - Winter Squash 262 0 0.072 ^ NT - TOTA L 1,160 0

Diflubenzuron (insecticide)

Apples 498 0 0.007 ^ NT 5 Cauliflowe r 155 0 0.022 ^ NT - Grapes (V-1) 1 1 100 0.012 ^ 0.007 ^ NT - Lettuce (V-1) 527 1 0.2 0.011 ^ 0.007 ^ NT - Orange Juice 186 0 0.007 - 0.010 0.5 0.5 Oranges 456 0 0.0007 - 0.010 0.5 0.5 Pears 216 2 0.9 0.012 ^ 0.007 ^ 0.50 5 Sweet Bell Peppers 558 8 1.4 0.011 ^ 0.007 ^ 1.0 - TOTA L 2,597 12

Dimethenamid (herbicide)

Cantaloupe 527 0 0.016 ^ NT - Spinach, Canned 371 0 0.016 ^ NT - Winter Squash 262 0 0.016 ^ NT - TOTA L 1,160 0

Dimethoate (insecticide) (parent of Omethoate)

Apples 744 7 0.9 0.004 - 0.12 0.002 ^ 2 1 Cantaloupe 742 23 3.1 0.003 - 0.14 0.002 - 0.007 1 - Cauliflowe r 185 2 1.1 0.004 - 0.016 0.002 ^ 2 - Cucumbers (V-6) 397 6 1.5 0.003 - 0.22 0.002 ^ NT - Grapes 738 18 2.4 0.003 - 0.23 0.002 - 0.005 1 1 Grean Beans, Canned 185 0 0.002 - 0.005 2 - Green Beans 548 22 4.0 0.003 - 0.12 0.002 - 0.005 2 - Lettuce 743 70 9.4 0.003 - 0.29 0.002 ^ 2 2 Orange Juice 186 0 0.002 ^ 2 2 Oranges 742 2 0.3 0.003 - 0.015 0.002 ^ 2 2 Pears 741 0 0.002 - 0.005 2 1 Spinach, Canned 371 0 0.007 ^ 2 - Strawberries 211 0 0.002 ^ NT - Sweet Bell Peppers 558 23 4.1 0.004 - 0.35 0.002 ^ 2 1 Tomatoes 744 3 0.4 0.015 ^ 0.009 ^ 2 1 Winter Squash 262 0 0.007 ^ NT - TOTA L 8,097 176

Dimethomorph (fungicide)

Apples 513 0 0.002 - 0.003 NT - Cantaloupe 215 0 0.030 - 0.050 0.5 - Cauliflower (V-1 ) 185 1 0.5 0.003 ^ 0.002 ^ NT - Cucumbers 557 0 0.030 - 0.050 0.5 - Grapes 212 0 0.030 - 0.050 3.5 - Lettuce 743 80 10.8 0.003 - 3.2 0.002 - 0.050 10 - Orange Juice 132 0 0.030 ^ NT - Oranges 527 0 0.030 ^ NT - Sweet Bell Peppers 558 0 0.003 ^ 1.5 - TOTA L 3,642 81

Diphenamid (herbicide)

Apples 528 0 0.010 ^ NT - Cantaloupe 527 0 0.018 ^ NT - Cauliflowe r 185 0 0.010 ^ NT - Cucumbers 395 0 0.006 ^ NT - Grean Beans, Canned 131 0 0.015 ^ NT - Green Beans 379 0 0.015 ^ NT - Lettuce 527 0 0.010 ^ NT -

Appendix B. Page 15 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm Orange Juice 132 0 0.006 ^ NT - Oranges 527 0 0.006 ^ NT - Peaches, Canned 743 0 0.020 ^ NT - Spinach, Canned 371 0 0.018 ^ NT - Sweet Bell Peppers 558 0 0.010 ^ NT - Sweet Potatoes 743 0 0.006 ^ NT - Tomatoes 744 0 0.020 ^ NT - Winter Squash 262 0 0.018 ^ NT - TOTA L 6,752 0

Diphenylamine - DPA (fungicide )

Apples 744 589 79.2 0.005 - 3.6 0.003 - 0.010 10.0 10 Cantaloupe (V-2) 742 2 0.3 0.014 ^ 0.008 - 0.010 NT - Cauliflowe r 185 0 0.003 ^ NT - Cucumbers 395 0 0.010 - 0.020 NT - Grapes 526 0 0.015 ^ NT - Grean Beans, Canned 131 0 0.015 ^ NT - Green Beans 379 0 0.015 ^ NT - Lettuce 527 0 0.003 ^ NT - Orange Juice 132 0 0.010 ^ NT - Oranges 527 0 0.010 ^ NT - Pears (V-37) 741 37 5.0 0.017 - 0.97 0.010 - 0.015 NT 5 Spinach, Canned 371 0 0.008 ^ NT - Strawberries 193 0 0.010 ^ NT - Sweet Bell Peppers (V-4) 558 4 0.7 0.005 ^ 0.003 ^ NT - Winter Squash (V-1) 262 1 0.4 0.014 ^ 0.008 ^ NT - TOTA L 6,413 633

Disulfoton (insecticide)

Apples 528 0 0.002 ^ NT - Cantaloupe 527 0 0.007 ^ NT 0.5 Cauliflowe r 185 0 0.002 ^ 0.75 0.5 Cucumbers 395 0 0.003 ^ NT 0.5 Grapes 526 0 0.004 ^ NT - Grean Beans, Canned 185 0 0.003 - 0.008 0.75 0.2 Green Beans 548 0 0.003 - 0.008 0.75 0.2 Lettuce 743 0 0.002 - 0.003 0.75 0.5 Oranges 286 0 0.003 ^ NT - Pears 525 0 0.004 ^ NT - Spinach, Canned 371 0 0.007 ^ 0.75 0.5 Sweet Bell Peppers 558 0 0.002 ^ 0.1 0.5 Tomatoes 744 0 0.021 ^ 0.75 0.5 Winter Squash 262 0 0.007 ^ NT 0.5 TOTA L 6,383 0

Disulfoton sulfone (metabolite of Disulfoton)

Apples 528 0 0.006 ^ NT - Cantaloupe 527 0 0.009 ^ NT 0.5 Cauliflowe r 185 0 0.006 ^ 0.75 0.5 Cucumbers 395 0 0.004 ^ NT 0.5 Grapes 526 0 0.004 ^ NT - Grean Beans, Canned 185 0 0.004 - 0.005 0.75 0.2 Green Beans 548 0 0.004 - 0.005 0.75 0.2 Lettuce 743 0 0.004 - 0.006 0.75 0.5 Oranges 286 0 0.004 ^ NT - Pears 525 0 0.004 ^ NT - Spinach, Canned 371 0 0.009 ^ 0.75 0.5 Sweet Bell Peppers 558 0 0.006 ^ 0.1 0.5 Tomatoes 744 0 0.008 ^ 0.75 0.5 Winter Squash 262 0 0.009 ^ NT 0.5 TOTA L 6,383 0

Appendix B. Page 16 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm Diuron (herbicide)

Apples 744 0 0.008 - 0.011 1 - Cauliflowe r 185 0 0.008 ^ NT - Grapes 212 0 0.011 ^ 1 - Lettuce 527 0 0.008 ^ NT - Orange Juice 186 0 0.010 - 0.012 1 - Oranges 456 0 0.010 - 0.012 1 - Pears 216 0 0.011 ^ 1 - Sweet Bell Peppers 558 0 0.008 ^ NT - TOTA L 3,084 0

Endosulfan I (insecticide)

Apples 744 4 0.5 0.008 - 0.010 0.005 - 0.006 2.0 1 Cantaloupe 742 1 0.1 0.012 ^ 0.005 - 0.007 2.0 0.5 Cauliflowe r 185 0 0.006 ^ 2.0 0.5 Cucumbers 557 206 37 0.008 - 0.24 0.005 ^ 2.0 0.5 Grapes 738 1 0.1 0.004 ^ 0.002 - 0.005 2.0 1 Grean Beans, Canned 185 0 0.002 - 0.005 2.0 0.5 Green Beans 548 56 10.2 0.003 - 0.21 0.002 - 0.005 2.0 0.5 Lettuce 743 52 7.0 0.008 - 0.57 0.005 - 0.006 2.0 1 Orange Juice 186 0 0.005 ^ NT 0.5 Oranges 742 0 0.005 ^ NT 0.5 Peaches, Canned 743 0 0.004 ^ 2.0 1 Pears 741 4 0.5 0.004 - 0.008 0.002 - 0.005 2.0 1 Spinach, Canned 371 0 0.007 ^ 2.0 2 Strawberries 731 10 1.4 0.008 - 0.13 0.005 - 0.006 2.0 - Sweet Bell Peppers 558 62 11.1 0.010 - 0.24 0.006 ^ 2.0 - Sweet Potatoes 743 0 0.002 - 0.005 0.2 0.2 Tomatoes 744 106 14.2 0.005 - 0.049 0.003 - 0.004 2.0 0.5 Winter Squash 364 3 0.8 0.008 - 0.012 0.005 - 0.007 2.0 - TOTA L 10,365 505

Endosulfan II (isomer of Endosulfan)

Apples 744 9 1.2 0.010 - 0.035 0.006 ^ 2.0 1 Cantaloupe 742 2 0.3 0.012 ^ 0.006 - 0.007 2.0 0.5 Cauliflowe r 185 0 0.020 ^ 2.0 0.5 Cucumbers 557 149 26.8 0.010 - 0.20 0.006 ^ 2.0 0.5 Grapes 738 1 0.1 0.021 ^ 0.004 - 0.006 2.0 1 Grean Beans, Canned 185 0 0.002 - 0.006 2.0 0.5 Green Beans 548 39 7.1 0.003 - 0.21 0.002 - 0.006 2.0 0.5 Lettuce 743 35 4.7 0.010 - 0.79 0.006 ^ 2.0 1 Orange Juice 186 0 0.006 ^ NT 0.5 Oranges 742 0 0.006 ^ NT 0.5 Peaches, Canned 743 0 0.004 ^ 2.0 1 Pears 741 12 1.6 0.006 - 0.036 0.004 - 0.006 2.0 1 Spinach, Canned 371 0 0.007 ^ 2.0 2 Strawberries 731 18 2.5 0.007 - 0.23 0.004 - 0.006 2.0 - Sweet Bell Peppers 558 87 15.6 0.010 - 0.23 0.006 ^ 2.0 - Sweet Potatoes 743 0 0.002 - 0.006 0.2 0.2 Tomatoes 744 166 22.3 0.005 - 0.054 0.003 - 0.004 2.0 0.5 Winter Squash 364 2 0.5 0.012 ^ 0.006 - 0.007 2.0 - TOTA L 10,365 520

Endosulfan sulfate (metabolite of Endosulfan)

Apples 730 1 0.1 0.012 ^ 0.007 - 0.020 2.0 1 Cantaloupe 742 329 44.3 0.012 - 0.12 0.007 ^ 2.0 0.5 Cauliflowe r 185 0 0.020 ^ 2.0 0.5 Cucumbers 557 249 44.7 0.010 - 0.26 0.006 - 0.007 2.0 0.5 Grapes 738 1 0.1 0.006 ^ 0.004 - 0.007 2.0 1 Grean Beans, Canned 185 0 0.002 - 0.007 2.0 0.5 Green Beans 548 87 15.9 0.003 - 0.95 0.002 - 0.007 2.0 0.5 Lettuce 743 34 4.6 0.012 - 0.98 0.007 - 0.020 2.0 1 Orange Juice 186 0 0.006 - 0.007 NT 0.5

Appendix B. Page 17 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm Oranges 742 0 0.006 - 0.007 NT 0.5 Peaches, Canned 743 0 0.006 ^ 2.0 1 Pears 741 13 1.8 0.006 - 0.10 0.004 - 0.007 2.0 1 Spinach, Canned 371 3 0.8 0.012 ^ 0.007 ^ 2.0 2 Strawberries 731 22 3.0 0.007 - 0.066 0.004 - 0.007 2.0 - Sweet Bell Peppers 558 30 5.4 0.033 - 0.14 0.020 ^ 2.0 - Sweet Potatoes 743 11 1.5 0.003 ^ 0.002 - 0.007 0.2 0.2 Tomatoes 744 154 20.7 0.005 - 0.023 0.003 - 0.006 2.0 0.5 Winter Squash 364 44 12.1 0.012 - 0.090 0.007 ^ 2.0 - TOTA L 10,351 978

Endrin (insecticide)

Apples 176 0 0.007 ^ NT - Cantaloupe 742 0 0.008 - 0.040 0.05 AL 0.05 Cauliflowe r 185 0 0.022 ^ 0.05 AL - Cucumbers 162 1 0.6 0.013 ^ 0.008 ^ 0.05 AL 0.05 Grapes 526 0 0.002 ^ NT - Grean Beans, Canned 185 0 0.001 - 0.008 0.05 AL - Green Beans 548 0 0.001 - 0.008 0.05 AL - Lettuce 391 0 0.007 - 0.008 0.05 AL - Oranges 286 0 0.008 ^ NT - Pears 525 0 0.002 ^ NT - Spinach, Canned 371 0 0.040 ^ 0.05 AL - Sweet Potatoes 743 0 0.002 - 0.008 0.05 AL - Tomatoes 744 0 0.005 ^ 0.05 AL - Winter Squash 364 0 0.008 - 0.040 0.05 AL 0.05 TOTA L 5,948 1

EPTC (herbicide)

Apples 176 0 0.064 ^ NT - Cauliflowe r 185 0 0.064 ^ 0.1 - Lettuce 175 0 0.064 ^ 0.1 - Orange Juice 132 0 0.020 ^ 0.1 - Oranges 527 0 0.020 ^ 0.1 - Tomatoes 744 0 0.018 ^ 0.1 - TOTA L 1,939 0

Esfenvalerate (insecticide) (isomer of Fenvalerate)

Cucumbers 264 0 0.051 ^ 0.05 - Oranges 264 0 0.051 ^ 0.05 - Peaches, Canned 743 0 0.055 ^ 0.05 - Sweet Potatoes 505 0 0.005 ^ 0.05 - Tomatoes 744 0 0.055 ^ 0.05 - TOTA L 2,520 0

Esfenvalerate+Fenvalerate Total (insecticide )

Apples 568 2 0.4 0.025 ^ 0.009 - 0.12 2.0 2 Cantaloupe 742 0 0.015 - 0.042 1.0 0.2 Cauliflowe r 185 0 0.029 - 0.19 0.5 2 Cucumbers 293 0 0.015 - 0.051 0.5 0.2 Grapes 738 0 0.015 - 0.038 0.05 1 Grean Beans, Canned 185 0 0.015 - 0.050 2.0 1 Green Beans 548 3 0.5 0.025 - 0.11 0.015 - 0.050 2.0 1 Lettuce 567 1 0.2 0.025 ^ 0.009 - 0.12 5.0 2 Orange Juice 186 0 0.015 - 0.051 0.05 2 Oranges 478 0 0.015 - 0.051 0.05 2 Pears 741 1 0.1 0.025 ^ 0.015 - 0.038 2.0 2 Spinach, Canned 371 0 0.042 ^ 0.05 - Strawberries 731 0 0.015 - 0.020 0.05 1 Sweet Bell Peppers 310 9 2.9 0.014 - 0.072 0.009 - 0.12 1.0 0.5 Sweet Potatoes 216 0 0.015 ^ 0.05 0.05 Winter Squash 364 0 0.015 - 0.042 1.0 0.5 TOTA L 7,223 16

Appendix B. Page 18 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm Ethalfluralin (herbicide)

Apples 528 0 0.017 ^ NT - Cantaloupe 742 0 0.015 - 0.040 0.05 - Cauliflowe r 185 0 0.056 ^ NT - Cucumbers 539 0 0.015 ^ 0.05 - Lettuce 527 0 0.017 - 0.11 NT - Orange Juice 132 0 0.015 ^ NT - Oranges 527 0 0.015 ^ NT - Spinach, Canned 371 0 0.040 ^ NT - Sweet Bell Peppers 558 0 0.017 ^ NT - Winter Squash 364 0 0.015 - 0.040 0.05 - TOTA L 4,473 0

Ethephon (plant growth regulator)

Apples 494 143 28.9 0.008 - 0.60 0.005 ^ 5 5 Grapes (X-5 ) 496 177 35.7 0.008 - 4.6 0.005 ^ 2.0 1 TOTA L 990 320

Ethiofencarb (insecticide)

Apples 514 0 0.015 ^ NT - Cauliflowe r 185 0 0.015 ^ NT - Grapes 526 0 0.010 ^ NT - Lettuce 527 0 0.015 ^ NT - Pears 525 0 0.010 ^ NT - Sweet Bell Peppers 542 0 0.015 ^ NT - TOTA L 2,819 0

Ethion (insecticide)

Apples 528 0 0.001 ^ NT - Cantaloupe 527 0 0.004 ^ NT - Cauliflowe r 185 0 0.001 ^ NT - Grapes 526 0 0.005 ^ NT - Grean Beans, Canned 131 0 0.010 ^ NT - Green Beans 387 0 0.010 ^ NT - Lettuce 527 0 0.001 ^ NT - Orange Juice 186 0 0.002 - 0.005 2.0 - Oranges 742 0 0.002 - 0.005 2.0 - Pears 525 0 0.005 ^ NT - Spinach, Canned 371 0 0.004 ^ NT - Sweet Bell Peppers 558 0 0.001 ^ NT - Winter Squash 262 0 0.004 ^ NT - TOTA L 5,455 0

Ethion di oxon (metabolite of Ethion)

Orange Juice 132 0 0.005 ^ NT - Oranges 527 0 0.005 ^ NT - TOTA L 659 0

Ethion mono oxon (metabolite of Ethion)

Apples 528 0 0.002 ^ NT - Cauliflowe r 185 0 0.002 ^ NT - Lettuce 527 0 0.002 ^ NT - Orange Juice 186 0 0.002 - 0.015 NT - Oranges 742 0 0.002 - 0.015 NT - Sweet Bell Peppers 558 0 0.002 ^ NT - TOTA L 2,726 0

Ethoprop (insecticide)

Apples 528 0 0.0009 ^ NT - Cantaloupe 527 0 0.016 ^ NT 0.02 Cucumbers 557 0 0.002 ^ 0.02 0.02 Grean Beans, Canned 54 0 0.002 ^ 0.02 - Green Beans 161 0 0.002 ^ 0.02 -

Appendix B. Page 19 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm
Lettuce 527 0 0.0009 ^ NT 0.02 Orange Juice 132 0 0.002 ^ NT - Oranges 527 0 0.002 ^ NT - Spinach, Canned 371 0 0.016 ^ NT - Sweet Bell Peppers 558 0 0.0009 ^ NT 0.02 Sweet Potatoes 743 2 0.3 0.002 - 0.003 0.001 - 0.002 0.02 0.02 Winter Squash 262 0 0.016 ^ NT - TOTA L 4,947 2

Ethoxyquin (plant growth regulator) Pears 2 2 100 0.017 ^ 0.010 ^ 3 3 TOTA L 2 2

Etridiazole (fungicide)

Grapes 526 0 0.002 ^ NT - Grean Beans, Canned 131 0 0.003 ^ NT - Green Beans 387 0 0.003 ^ NT - Pears 525 0 0.002 ^ NT - Strawberries 520 0 0.006 ^ 0.20 - Tomatoes 744 0 0.028 ^ 0.15 - TOTA L 2,833 0

Famoxadone (fungicide)

Cantaloupe 87 0 0.13 ^ 0.30 - Winter Squash 118 0 0.13 ^ 0.30 - TOTA L 205 0

Fenamiphos (insecticide)

Apples 744 0 0.002 - 0.004 0.25 0.05 Cantaloupe 527 0 0.006 ^ NT 0.05 Cauliflowe r 185 0 0.002 ^ NT - Cucumbers 395 0 0.004 ^ NT - Grapes 738 0 0.001 - 0.004 0.10 0.1 Grean Beans, Canned 131 0 0.008 ^ NT - Green Beans 387 0 0.008 ^ NT - Lettuce 527 0 0.002 ^ NT - Orange Juice 186 0 0.004 ^ 0.60 - Oranges 742 0 0.004 ^ 0.60 - Peaches, Canned 743 0 0.011 ^ 0.25 - Pears 525 0 0.001 ^ NT - Spinach, Canned 371 0 0.006 ^ NT - Strawberries 211 0 0.004 ^ 0.6 - Sweet Bell Peppers 558 0 0.002 ^ NT - Winter Squash 262 0 0.006 ^ NT - TOTA L 7,232 0

Fenamiphos sulfone (metabolite of Fenamiphos)

Apples 744 0 0.002 - 0.008 0.25 0.05 Cantaloupe 527 0 0.012 - 0.024 NT 0.05 Cucumbers 395 0 0.008 ^ NT - Grapes 738 1 0.1 0.003 ^ 0.001 - 0.008 0.10 0.1 Grean Beans, Canned 131 0 0.020 ^ NT - Green Beans 387 0 0.020 ^ NT - Lettuce 527 0 0.002 ^ NT - Orange Juice 186 0 0.008 ^ 0.60 - Oranges 742 0 0.008 ^ 0.60 - Peaches, Canned 743 0 0.018 ^ 0.25 - Pears 525 0 0.001 ^ NT - Spinach, Canned 371 0 0.012 - 0.024 NT - Strawberries 211 0 0.008 ^ 0.6 - Sweet Bell Peppers 544 0 0.002 ^ NT - Winter Squash 262 0 0.024 ^ NT - TOTA L 7,033 1

Appendix B. Page 20 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm Fenamiphos sulfoxide (metabolite of Fenamiphos)

Apples 528 0 0.002 ^ 0.25 0.05 Grapes 526 7 1.3 0.001 - 0.035 0.001 ^ 0.10 0.1 Lettuce 527 0 0.002 ^ NT - Orange Juice 132 0 0.012 ^ 0.60 - Oranges 527 0 0.012 ^ 0.60 - Peaches, Canned 743 0 0.023 ^ 0.25 - Pears 525 0 0.001 ^ NT - Sweet Bell Peppers (V-1) 544 1 0.2 0.003 ^ 0.002 ^ NT - TOTA L 4,052 8

Fenarimol (fungicide)

Apples 744 0 0.010 - 0.015 0.1 0.3 Cauliflowe r 185 0 0.010 ^ NT - Grapes 738 0 0.015 - 0.025 0.2 0.3 Lettuce 527 0 0.010 ^ NT - Pears 741 0 0.015 - 0.025 0.1 0.3 Sweet Bell Peppers 558 0 0.010 - 0.064 NT 0.5 TOTA L 3,493 0

Fenbuconazole (fungicide)

Apples 470 0 0.0009 ^ NT 0.1 Cauliflowe r 107 0 0.0009 ^ NT - Cucumbers 395 0 0.030 ^ NT 0.2 Grapes 526 0 0.005 ^ NT 1 Lettuce 411 0 0.0009 ^ NT - Orange Juice 132 0 0.030 ^ NT - Oranges 527 0 0.030 ^ NT - Peaches, Canned 743 0 0.061 ^ 2.0 0.5 Pears 525 0 0.005 ^ NT 0.1 Sweet Bell Peppers 452 0 0.0009 ^ NT - TOTA L 4,288 0

Fenhexamid (fungicide) Peaches, Canned 743 0 0.039 ^ 10.0 - Strawberries 518 154 29.7 0.017 - 0.98 0.010 - 0.035 3.0 - TOTA L 1,261 154

Fenitrothion (insecticide)

Apples 528 0 0.003 ^ NT - Cauliflowe r 185 0 0.003 ^ NT - Lettuce 527 0 0.003 ^ NT - Sweet Bell Peppers 558 0 0.003 ^ NT - TOTA L 1,798 0

Fenpropathrin (insecticide)

Apples 744 40 5.4 0.026 - 0.32 0.016 - 0.020 5.0 5 Cantaloupe 742 0 0.016 - 0.020 0.5 - Cauliflowe r 185 0 0.016 ^ 3.0 - Cucumbers 557 0 0.020 ^ 0.5 - Grapes 738 13 1.8 0.017 - 0.13 0.015 - 0.020 5.0 5 Lettuce 527 0 0.016 ^ NT - Orange Juice 186 0 0.020 ^ 2.0 - Oranges 742 0 0.020 ^ 2.0 - Pears 741 30 4.0 0.017 - 0.17 0.015 - 0.020 5.0 5 Spinach, Canned 371 0 0.016 ^ NT - Strawberries 731 75 10.3 0.030 - 0.95 0.018 - 0.020 2.0 - Sweet Bell Peppers 558 0 0.016 ^ NT 1 Tomatoes 744 25 3.4 0.052 - 0.22 0.031 ^ 0.6 1 Winter Squash 364 0 0.016 - 0.020 0.5 - TOTA L 7,930 183

Appendix B. Page 21 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm Fenthion (insecticide)

Apples 528 0 0.002 ^ NT - Cauliflowe r 185 0 0.002 ^ NT - Grapes 526 0 0.008 ^ NT - Lettuce 527 0 0.002 ^ NT - Pears 525 0 0.008 ^ NT - Sweet Bell Peppers 558 0 0.002 ^ NT - TOTA L 2,849 0

Fenvalerate (insecticide) (isomer of Esfenvalerate)

Apples 176 0 0.009 ^ 2.0 2 Cucumbers 264 0 0.099 ^ 0.5 0.2 Lettuce 176 0 0.009 ^ 0.05 2 Oranges 264 0 0.099 ^ 0.05 2 Sweet Bell Peppers 248 1 0.4 0.029 ^ 0.009 - 0.058 1.0 0.5 Tomatoes 55 0 0.055 ^ 1.0 1 TOTA L 1,183 1

Fludioxonil (fungicide)

Apples 528 0 0.012 ^ NT - Cantaloupe 527 0 0.036 ^ 0.01 - Cauliflowe r 155 0 0.012 - 0.17 2.0 - Cucumbers 395 0 0.015 ^ 0.01 - Grapes 738 88 11.9 0.017 - 0.37 0.010 - 0.015 1.0 - Grean Beans, Canned 131 0 0.050 ^ 0.01 - Green Beans 379 0 0.050 ^ 0.01 - Lettuce 527 0 0.012 - 0.080 0.01 - Orange Juice 132 0 0.015 ^ NT - Oranges 527 0 0.015 ^ NT - Peaches, Canned 743 0 0.11 ^ 5.0 - Pears 525 0 0.010 ^ NT - Spinach, Canned 371 0 0.036 ^ 0.01 - Strawberries 211 34 16.1 0.025 - 0.41 0.015 ^ 2.0 - Sweet Bell Peppers 558 0 0.012 ^ 0.01 - Winter Squash 262 0 0.036 ^ 0.01 - TOTA L 6,709 122

Fluridone (herbicide)

Apples 568 0 0.024 - 0.33 0.1 - Cantaloupe 724 0 0.016 - 0.035 0.1 - Cucumbers 557 0 0.035 - 0.036 0.1 - Grapes 212 0 0.035 - 0.060 0.1 - Grean Beans, Canned 185 0 0.035 - 0.15 0.1 - Green Beans 540 0 0.035 - 0.15 0.1 - Lettuce 524 0 0.024 - 0.53 0.1 - Orange Juice 186 0 0.035 - 0.036 0.1 - Oranges 742 0 0.035 - 0.036 0.1 - Pears 216 0 0.035 ^ 0.1 - Spinach, Canned 371 0 0.016 ^ 0.1 - Strawberries 729 0 0.0003 - 0.035 0.1 - Sweet Bell Peppers 510 0 0.024 - 0.33 0.1 - Sweet Potatoes 739 0 0.002 - 0.035 0.1 - Winter Squash 364 0 0.016 - 0.035 0.1 - TOTA L 7,167 0

Folpet (fungicide)

Apples 216 0 0.017 ^ 25 - Cantaloupe 742 0 0.017 - 0.066 15 3 Cucumbers 557 0 0.012 - 0.017 15 1 Grapes 720 0 0.015 - 0.050 25 2 Lettuce 216 0 0.017 ^ 50 - Orange Juice 132 0 0.012 ^ NT - Oranges 527 0 0.012 ^ NT -

Appendix B. Page 22 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm
Pears 503 0 0.015 ^ NT - Spinach, Canned 371 0 0.066 ^ NT - Strawberries 691 2 0.3 0.29 - 0.57 0.015 - 0.017 25 20 Tomatoes 744 0 0.010 ^ 25 - Winter Squash 262 0 0.066 ^ NT - TOTA L 5,681 2

Fonofos (insecticide)

Apples 528 0 0.002 ^ NT - Cauliflowe r 185 0 0.002 ^ NT - Cucumbers 395 0 0.002 ^ NT - Grapes 526 0 0.005 ^ NT - Grean Beans, Canned 185 0 0.002 - 0.005 NT - Green Beans 548 0 0.002 - 0.005 NT - Lettuce 527 0 0.002 ^ NT - Oranges 286 0 0.002 ^ NT - Pears 525 0 0.005 ^ NT - Sweet Bell Peppers 558 0 0.002 ^ NT - Sweet Potatoes 743 0 0.001 - 0.002 NT - Tomatoes 744 0 0.016 ^ NT - TOTA L 5,750 0

Forchlorfenuron (plant growth regulator)

Apples 219 0 0.0002 - 0.0005 0.01 - Cauliflowe r 32 0 0.0005 ^ NT - Lettuce 235 0 0.0005 ^ NT - Sweet Bell Peppers (V-1) 496 1 0.2 0.0002 ^ 0.0001 - 0.0002 NT - TOTA L 982 1

Heptachlor (insecticide)

Apples 528 0 0.002 ^ NT - Cantaloupe 742 0 0.004 - 0.006 0.05 AL - Cauliflowe r 185 0 0.002 ^ 0.05 AL - Grapes 526 0 0.0008 - 0.003 0.05 AL - Grean Beans, Canned 131 0 0.002 ^ 0.05 AL - Green Beans 387 0 0.002 ^ 0.05 AL - Lettuce 743 0 0.002 - 0.006 0.05 AL - Orange Juice 186 0 0.006 ^ 0.05 AL 0.01 Oranges 742 0 0.006 ^ 0.05 AL 0.01 Pears 741 0 0.0008 - 0.006 0.05 AL - Spinach, Canned 371 0 0.004 ^ 0.05 AL - Sweet Bell Peppers 542 0 0.002 ^ NT - Winter Squash 364 0 0.004 - 0.006 0.05 AL - TOTA L 6,188 0

Heptachlor epoxide (metabolite of Heptachlor)

Apples 528 0 0.004 ^ NT - Cantaloupe 742 0 0.004 - 0.006 0.05 AL - Cauliflowe r 185 0 0.004 ^ 0.05 AL - Cucumbers 557 2 0.4 0.024 - 0.026 0.006 ^ 0.05 AL - Grapes 526 0 0.002 ^ 0.05 AL - Grean Beans, Canned 185 0 0.001 - 0.006 0.05 AL - Green Beans 548 0 0.001 - 0.006 0.05 AL - Lettuce 743 0 0.004 - 0.006 0.05 AL - Orange Juice 186 0 0.006 ^ 0.05 AL 0.01 Oranges 742 0 0.006 ^ 0.05 AL 0.01 Peaches, Canned 743 0 0.004 ^ 0.05 AL - Pears 741 0 0.002 - 0.006 0.05 AL - Spinach, Canned 371 0 0.004 ^ 0.05 AL - Sweet Bell Peppers 558 0 0.004 ^ NT -

Appendix B. Page 23 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm
Tomatoes 744 0 0.004 ^ NT - Winter Squash 364 3 0.8 0.006 - 0.011 0.004 - 0.006 0.05 AL - TOTA L 8,463 5

Hexachlorobenzene - HCB (impurity of Quintozene)

Apples 176 0 0.001 ^ NT - Cantaloupe 527 0 0.003 ^ NT - Cauliflowe r 185 0 0.001 ^ 0.1 - Grapes 526 0 0.0008 ^ NT - Grean Beans, Canned 185 0 0.002 ^ 0.1 - Green Beans 548 0 0.002 ^ 0.1 - Lettuce (V-1) 175 1 0.6 0.002 ^ 0.001 ^ NT - Oranges 286 0 0.002 ^ NT - Pears 525 0 0.0008 ^ NT - Spinach, Canned 371 0 0.003 ^ NT - Tomatoes 744 0 0.003 ^ 0.1 - Winter Squash (V-1) 263 1 0.4 0.003 ^ 0.002 - 0.003 NT - TOTA L 4,511 2

Hexaconazole (fungicide)

Cucumbers 395 0 0.020 ^ NT - Orange Juice 132 0 0.020 ^ NT - Oranges 527 0 0.020 ^ NT - TOTA L 1,054 0

Hexythiazox (insecticide, acaricide )

Apples 308 0 0.033 - 0.45 0.50 0.5 Sweet Bell Peppers (V-1) 1 1 100 0.054 ^ 0.033 ^ NT - TOTA L 309 1

Hydroprene (insect growth regulator)

Apples 528 0 0.013 ^ 0.2 - Cantaloupe 87 0 0.013 ^ 0.2 - Cauliflowe r 185 0 0.013 ^ 0.2 - Lettuce 527 0 0.013 ^ 0.2 - Winter Squash 130 0 0.013 ^ 0.2 - TOTA L 1,457 0

3-Hydroxycarbofuran (metabolite of Carbofuran ) Apples 528 0 0.0006 ^ NT - Cantaloupe 742 1 0.1 0.007 ^ 0.004 - 0.012 0.2 - Cauliflowe r 185 0 0.0006 ^ NT - Cucumbers 557 0 0.004 - 0.021 0.2 - Grapes 738 0 0.004 - 0.013 0.2 - Grean Beans, Canned 131 0 0.020 ^ NT - Green Beans 387 0 0.020 ^ NT - Lettuce 527 0 0.0006 - 0.002 NT - Orange Juice 132 0 0.010 ^ NT - Oranges 527 0 0.010 ^ NT - Pears 525 0 0.010 ^ NT - Spinach, Canned 371 0 0.012 ^ NT - Strawberries 729 0 0.002 - 0.004 0.2 - Sweet Bell Peppers 558 5 0.9 0.001 - 0.022 0.0006 ^ 0.2 - Winter Squash 364 0 0.004 - 0.012 0.6 - TOTA L 7,001 6

5-Hydroxythiabendazole (metabolite of Thiabendazole ) Orange Juice 132 0 0.010 ^ 10 - Oranges 241 0 0.010 ^ 10 - Pears 66 0 0.010 ^ 10 - Strawberries 520 0 0.0002 - 0.002 5.0 - TOTA L 959 0

Appendix B. Page 24 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm Imazalil (fungicide)

Apples 528 0 0.010 ^ NT 5 Cantaloupe 527 0 0.030 ^ NT 2 Cauliflowe r 171 0 0.010 ^ NT - Cucumbers 351 0 0.010 - 0.030 NT 0.5 Grapes 526 0 0.005 ^ NT - Lettuce 527 0 0.010 ^ NT - Orange Juice 186 1 0.5 0.050 ^ 0.030 ^ 10.0 5 Oranges 742 554 74.7 0.050 - 0.95 0.030 ^ 10.0 5 Pears 525 0 0.005 ^ NT 5 Spinach, Canned 371 0 0.030 ^ NT - Sweet Bell Peppers (V-1) 558 1 0.2 0.016 ^ 0.010 ^ NT - Winter Squash 262 0 0.030 ^ NT - TOTA L 5,274 556

Imidacloprid (insecticide)

Apples 744 225 30.2 0.0002 - 0.017 0.0001 - 0.009 0.6 0.5 Cantaloupe 215 10 4.7 0.015 - 0.040 0.009 - 0.010 0.5 0.2 Cauliflowe r 185 133 71.9 0.0005 - 0.16 0.0002 ^ 3.5 0.5 Grapes 738 120 16.3 0.010 - 0.78 0.009 - 0.010 1.0 1 Lettuce 743 497 66.9 0.0002 - 0.33 0.0001 - 0.009 3.5 2 Orange Juice 186 0 0.010 ^ 0.7 1 Oranges 456 3 0.7 0.017 - 0.12 0.010 ^ 0.7 1 Pears 741 30 4.0 0.010 - 0.079 0.009 - 0.010 0.6 1 Strawberries 729 37 5.1 0.015 - 0.13 0.009 - 0.010 0.50 - Sweet Bell Peppers 558 452 81.0 0.0002 - 0.13 0.0001 ^ 1.0 1 Sweet Potatoes 523 0 0.030 ^ 0.40 - Winter Squash 102 3 2.9 0.015 ^ 0.009 ^ 0.5 - TOTA L 5,920 1,510

Indoxacarb (insecticide) Grapes 526 0 0.010 ^ NT - Pears 525 1 0.2 0.019 ^ 0.010 ^ 0.20 - Tomatoes 744 0 0.12 ^ 0.50 - TOTA L 1,795 1

Iprodione (fungicide)

Apples (V-2) 528 2 0.4 0.014 - 0.032 0.008 ^ NT 5 Cantaloupe 527 0 0.008 ^ NT - Cauliflowe r 185 0 0.028 ^ NT - Cucumbers (V-1) 395 1 0.3 0.035 ^ 0.021 ^ NT 2 Grapes 738 89 12.1 0.035 - 0.77 0.021 - 0.023 60.0 10 Grean Beans, Canned 185 0 0.015 - 0.021 2.0 2 Green Beans 548 17 3.1 0.025 - 0.35 0.015 - 0.021 2.0 2 Lettuce 743 5 0.7 0.014 - 0.28 0.008 - 0.021 25.0 25 Peaches, Canned 743 0 0.034 ^ 20.0 10 Pears (V-2) 526 2 0.4 0.035 - 0.038 0.021 - 0.023 NT 5 Spinach, Canned 371 0 0.008 ^ NT - Strawberries 731 20 2.7 0.035 - 1.2 0.021 - 0.029 15 10 Sweet Bell Peppers (V-2) 558 2 0.4 0.053 - 0.085 0.028 ^ NT - Tomatoes (V-1) 1 1 100 0.057 ^ 0.034 ^ NT 5 Winter Squash 262 0 0.008 ^ NT - TOTA L 7,041 139

Iprodione metabolite isomer (metabolite of Iprodione)

Apples 528 0 0.098 ^ NT - Cauliflowe r 123 0 0.098 ^ NT - Lettuce 498 1 0.2 0.16 ^ 0.098 - 1.4 25.0 - Strawberries 520 0 0.062 ^ 15 - Sweet Bell Peppers 558 0 0.098 ^ NT - TOTA L 2,227 1

Appendix B. Page 25 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm Kresoxim-methyl (fungicide)

Apples 439 0 0.003 - 0.010 0.5 0.2 Cauliflowe r 32 0 0.003 ^ NT - Lettuce 311 0 0.003 - 0.010 NT - Sweet Bell Peppers 330 0 0.010 ^ NT - TOTA L 1,112 0

Lindane - BHC gamma (insecticide)

Apples 744 0 0.002 - 0.003 1 - Cantaloupe 742 0 0.002 - 0.006 3 - Cauliflowe r 185 0 0.003 ^ 1 - Cucumbers 557 0 0.002 ^ 3 - Grapes 738 0 0.002 ^ 1 - Grean Beans, Canned 185 0 0.001 - 0.002 0.5 AL - Green Beans 548 0 0.001 - 0.002 0.5 AL - Lettuce 743 0 0.002 - 0.003 3 - Orange Juice 186 0 0.002 ^ 0.5 AL - Oranges 742 0 0.002 ^ 0.5 AL - Peaches, Canned 743 0 0.004 ^ 1 - Pears 741 0 0.002 ^ 1 - Spinach, Canned 371 0 0.006 ^ 1 - Strawberries 211 0 0.002 ^ 1 - Sweet Bell Peppers 558 0 0.003 ^ 1 - Sweet Potatoes 743 0 0.002 ^ 0.5 AL - Tomatoes 744 0 0.004 ^ 3 - Winter Squash 364 0 0.002 - 0.006 3 - TOTA L 9,845 0

Linuron (herbicide)

Apples 498 0 0.003 ^ NT - Cauliflowe r 185 0 0.003 ^ NT - Grapes 526 0 0.008 ^ NT - Grean Beans, Canned 131 0 0.015 ^ NT - Green Beans 387 0 0.015 ^ NT - Lettuce (V-1) 512 1 0.2 0.005 ^ 0.003 ^ NT - Pears 525 0 0.008 ^ NT - Sweet Bell Peppers 542 0 0.003 ^ NT - TOTA L 3,306 1

Malathion (insecticide)

Apples 744 0 0.003 - 0.004 8 2 Cantaloupe 742 0 0.004 - 0.007 8 - Cauliflowe r 185 0 0.003 ^ 8 - Cucumbers 557 0 0.004 ^ 8 0.2 Grapes 738 1 0.1 0.047 ^ 0.004 ^ 8 8 Grean Beans, Canned 185 0 0.004 - 0.008 8 1 Green Beans 548 0 0.004 - 0.008 8 1 Lettuce 743 6 0.8 0.005 - 5.0 0.003 - 0.004 8 - Orange Juice 186 0 0.004 ^ 8 4 Oranges 742 1 0.1 0.007 ^ 0.004 ^ 8 4 Peaches, Canned 743 0 0.010 ^ 8 6 Pears 741 0 0.004 ^ 8 - Spinach, Canned 371 0 0.007 ^ 8 3 Strawberries 731 153 20.9 0.001 - 0.61 0.0007 - 0.004 8 1 Sweet Bell Peppers 558 6 1.1 0.005 - 0.075 0.003 ^ 8 0.1 Sweet Potatoes 743 3 0.4 0.002 - 0.005 0.001 - 0.004 1 0.5 Tomatoes 744 1 0.1 0.017 ^ 0.010 ^ 8 0.5 Winter Squash 364 0 0.004 - 0.007 8 - TOTA L 10,365 171

Appendix B. Page 26 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm Malathion oxygen analog (metabolite of Malathion)

Apples 744 0 0.003 ^ NT - Cantaloupe 742 0 0.003 - 0.007 NT - Cauliflowe r 185 0 0.003 ^ NT - Cucumbers 557 0 0.003 ^ NT - Grapes (V-1) 738 1 0.1 0.020 ^ 0.003 - 0.006 NT - Grean Beans, Canned 185 0 0.003 - 0.005 NT - Green Beans 548 0 0.003 - 0.005 NT - Lettuce (V-1) 743 1 0.1 0.021 ^ 0.003 ^ NT - Orange Juice 186 0 0.003 ^ NT - Oranges 742 0 0.003 ^ NT - Peaches, Canned 743 0 0.012 ^ NT - Pears 741 0 0.003 - 0.006 NT - Spinach, Canned 371 0 0.007 ^ NT - Strawberries (V-29 ) 731 29 4.0 0.002 - 0.013 0.0009 - 0.003 NT - Sweet Bell Peppers 558 0 0.003 ^ NT - Sweet Potatoes 743 0 0.003 ^ NT - Tomatoes 744 0 0.012 ^ NT - Winter Squash 364 0 0.003 - 0.007 NT - TOTA L 10,365 31

Metalaxyl (fungicide)

Apples 729 0 0.006 - 0.025 0.2 1 Cantaloupe 742 7 0.9 0.014 - 0.075 0.008 - 0.010 1.0 0.2 Cauliflowe r 124 0 0.020 - 0.083 1.0 0.5 Cucumbers 557 89 16.0 0.017 - 0.15 0.010 - 0.011 1.0 0.5 Grapes 738 1 0.1 0.076 ^ 0.010 - 0.015 2.0 1 Grean Beans, Canned 185 0 0.010 - 0.015 0.2 - Green Beans 540 0 0.010 - 0.015 0.2 - Lettuce 686 5 0.7 0.010 - 0.35 0.006 - 0.040 5.0 2 Orange Juice 186 0 0.010 ^ 1.0 5 Oranges 742 0 0.010 ^ 1.0 5 Peaches, Canned 743 0 0.033 ^ 1.0 - Pears 525 0 0.015 ^ NT 1 Spinach, Canned 371 0 0.008 ^ 10.0 2 Strawberries 731 46 6.3 0.017 - 0.21 0.010 - 0.019 10.0 - Sweet Bell Peppers 558 97 17.4 0.010 - 0.22 0.006 - 0.040 1.0 1 Sweet Potatoes 743 0 0.007 - 0.010 0.5 - Tomatoes 744 0 0.033 ^ 1.0 0.5 Winter Squash 364 2 0.5 0.014 ^ 0.008 - 0.010 1.0 0.2 TOTA L 10,008 247

Methamidophos (insecticide) (also a metabolite of Acephate)

Apples 744 0 0.001 - 0.002 0.02 - Cantaloupe 742 2 0.3 0.006 - 0.16 0.002 - 0.004 0.5 - Cucumbers 557 50 9.0 0.003 - 0.52 0.002 ^ 1.0 1 Grapes (X-1 ) 563 9 1.6 0.003 - 0.035 0.002 - 0.008 0.02 - Grean Beans, Canned 185 28 15.1 0.003 - 0.094 0.002 - 0.005 1 - Green Beans 548 153 27.9 0.008 - 0.56 0.002 - 0.005 1 - Lettuce 743 38 5.1 0.002 - 0.012 0.001 - 0.002 1.0 1 Orange Juice 186 0 0.002 ^ 0.02 - Oranges 742 0 0.002 ^ 0.02 - Pears 741 0 0.002 - 0.025 0.02 - Spinach, Canned 371 0 0.004 ^ 0.02 - Strawberries 211 0 0.002 ^ 0.02 - Sweet Bell Peppers 558 188 33.7 0.002 - 0.39 0.001 ^ 1.0 1 Tomatoes 744 73 9.8 0.008 - 0.14 0.005 ^ 1.0 - Winter Squash 364 2 0.5 0.006 - 0.046 0.002 - 0.004 0.02 - TOTA L 7,999 543

Methidathion (insecticide)

Apples 744 0 0.002 - 0.004 0.05 0.5 Cantaloupe 527 0 0.010 ^ NT -

Appendix B. Page 27 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm
Cauliflowe r 185 0 0.002 ^ NT - Grapes 526 0 0.004 ^ NT 1 Lettuce 527 0 0.002 ^ NT - Orange Juice 186 0 0.004 - 0.005 2.0 2 Oranges 742 3 0.4 0.007 - 0.008 0.004 - 0.005 2.0 2 Peaches, Canned 743 0 0.010 ^ 0.05 0.2 Pears 741 2 0.3 0.006 - 0.016 0.004 ^ 0.05 1 Spinach, Canned 371 0 0.010 ^ NT - Sweet Bell Peppers 558 0 0.002 ^ NT - Winter Squash 262 0 0.010 ^ NT - TOTA L 6,112 5

Methiocarb (insecticide) (analyzed as sulfoxide)

Apples 513 0 0.0006 ^ NT - Cauliflowe r 185 0 0.0006 ^ NT - Cucumbers 263 0 0.010 ^ NT - Grapes 526 0 0.010 ^ NT - Grean Beans, Canned 131 0 0.015 ^ NT - Green Beans 387 0 0.015 ^ NT - Lettuce 497 0 0.0006 ^ NT - Oranges 286 0 0.010 ^ NT - Pears 525 0 0.010 ^ NT - Sweet Bell Peppers 528 0 0.0006 ^ NT - TOTA L 3,841 0

Methomyl (insecticide)

Apples 729 6 0.8 0.002 - 0.023 0.001 - 0.014 1 2 Cantaloupe (X-3 ) 742 142 19.1 0.020 - 0.50 0.012 - 0.017 0.2 0.2 Cauliflowe r 185 0 0.001 ^ 2 2 Cucumbers 557 13 2.3 0.017 - 0.084 0.010 - 0.014 0.2 0.2 Grapes 738 40 5.4 0.010 - 3.3 0.010 - 0.017 5 5 Grean Beans, Canned 185 0 0.014 - 0.015 2 1 Green Beans 548 4 0.7 0.023 - 0.085 0.014 - 0.015 2 1 Lettuce 743 83 11.2 0.002 - 2.9 0.001 - 0.014 5 5 Orange Juice 186 0 0.010 - 0.017 2 1 Oranges 742 0 0.010 - 0.10 2 1 Peaches, Canned 743 0 0.012 ^ 5 0.2 Pears 741 0 0.010 - 0.014 4 2 Spinach, Canned 371 0 0.012 ^ 6 - Strawberries (X-2 ) 211 53 25.1 0.023 - 4.1 0.014 ^ 2 - Sweet Bell Peppers 558 74 13.3 0.001 - 0.77 0.0006 ^ 2 1 Sweet Potatoes 739 0 0.002 - 0.014 0.2 - Tomatoes 744 0 0.012 ^ 1 1 Winter Squash 364 0 0.012 - 0.014 0.2 - TOTA L 9,826 415

Methoprene (insect growth regulator)

Apples 528 0 0.014 - 0.048 NT - Cauliflowe r 185 0 0.048 ^ NT - Lettuce 527 0 0.014 - 0.048 NT - Sweet Bell Peppers 558 0 0.014 ^ NT - TOTA L 1,798 0

Methoxychlor Total (insecticide)

Apples (V-2) 528 2 0.4 0.053 - 0.53 0.002 ^ NT - Cauliflowe r 185 0 0.002 ^ NT - Grean Beans, Canned 131 0 0.005 ^ NT - Green Beans 387 0 0.005 ^ NT - Lettuce 527 0 0.002 ^ NT - Sweet Bell Peppers 558 0 0.002 ^ NT - Sweet Potatoes 505 0 0.004 ^ NT - TOTA L 2,821 2

Appendix B. Page 28 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm Methoxychlor olefin (metabolite of Methoxychlor)

Apples (V-2) 528 2 0.4 0.003 - 0.014 0.001 ^ NT - Cauliflowe r 185 0 0.001 ^ NT - Lettuce 527 0 0.001 - 0.003 NT - Sweet Bell Peppers 558 0 0.001 ^ NT - TOTA L 1,798 2

Methoxychlor p,p' (isomer of Methoxychlor)

Cantaloupe 527 0 0.009 ^ NT - Cucumbers 557 0 0.020 ^ NT - Grapes 526 0 0.008 ^ NT - Grean Beans, Canned 54 0 0.020 ^ NT - Green Beans 161 0 0.020 ^ NT - Orange Juice 132 0 0.020 ^ NT - Oranges 527 0 0.020 ^ NT - Peaches, Canned 743 0 0.014 ^ NT - Pears 525 0 0.008 ^ NT - Spinach, Canned 371 0 0.009 ^ NT - Sweet Potatoes 216 0 0.020 ^ NT - Tomatoes 744 0 0.014 ^ NT - Winter Squash 262 0 0.009 ^ NT - TOTA L 5,345 0

Metolachlor (herbicide)

Apples 528 0 0.001 ^ NT - Cantaloupe 527 0 0.016 ^ NT - Cauliflowe r 185 0 0.001 ^ NT - Cucumbers 395 0 0.010 - 0.020 NT - Grapes 526 0 0.015 ^ NT - Grean Beans, Canned 185 0 0.008 - 0.010 0.3 - Green Beans 548 0 0.008 - 0.010 0.3 - Lettuce 527 0 0.001 ^ NT - Orange Juice 132 0 0.010 ^ NT - Oranges 527 0 0.010 ^ NT - Peaches, Canned 743 0 0.022 ^ 0.1 - Pears 525 0 0.015 ^ NT - Spinach, Canned 371 0 0.016 ^ 0.5 - Sweet Bell Peppers 558 0 0.001 ^ 0.1 - Tomatoes 744 0 0.022 ^ 0.1 - Winter Squash 262 0 0.016 ^ NT - TOTA L 7,283 0

Metribuzin (herbicide)

Apples 528 0 0.013 - 0.044 NT - Cantaloupe 527 0 0.016 ^ NT - Cauliflowe r 185 0 0.013 ^ NT - Cucumbers 395 0 0.030 ^ NT - Grapes 526 0 0.015 ^ NT - Lettuce 527 0 0.013 ^ NT - Orange Juice 132 0 0.030 ^ NT - Oranges 527 0 0.030 ^ NT - Pears 525 0 0.015 ^ NT - Spinach, Canned 371 0 0.016 ^ NT - Sweet Bell Peppers 558 0 0.013 ^ NT - Tomatoes 744 0 0.029 ^ 0.1 - Winter Squash 262 0 0.016 ^ NT - TOTA L 5,807 0

Mevinphos Total (insecticide)

Apples (V-1) 528 1 0.2 0.003 ^ 0.002 ^ NT - Cantaloupe 742 0 0.002 - 0.012 0.5 - Cucumbers 557 0 0.002 - 0.004 0.2 -

Appendix B. Page 29 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm Grapes 738 0 0.002 - 0.008 0.5 - Grean Beans, Canned 131 0 0.017 ^ NT - Green Beans 387 0 0.017 ^ NT - Lettuce 743 0 0.002 ^ 0.5 - Orange Juice 132 0 0.004 ^ NT - Oranges 527 0 0.004 ^ NT - Pears 525 0 0.008 ^ NT - Spinach, Canned 371 0 0.012 ^ 1.0 - Strawberries 731 1 0.1 0.005 ^ 0.0006 - 0.002 1.0 - Sweet Bell Peppers 558 0 0.002 ^ 0.25 - Tomatoes 744 0 0.011 ^ 0.2 - Winter Squash 262 0 0.012 ^ NT - TOTA L 7,676 2

Monocrotophos (insecticide)

Cantaloupe 527 0 0.007 ^ NT - Grapes 526 0 0.008 - 0.025 NT - Pears 525 0 0.008 - 0.025 NT - Spinach, Canned 371 0 0.007 ^ NT - Winter Squash 262 0 0.007 ^ NT - TOTA L 2,211 0

Myclobutanil (fungicide)

Apples 729 37 5.1 0.002 - 0.026 0.0009 - 0.020 0.5 0.5 Cantaloupe 742 0 0.008 - 0.020 0.20 - Cauliflowe r 185 0 0.0009 ^ 0.03 - Cucumbers 557 2 0.4 0.033 ^ 0.020 ^ 0.20 - Grapes 738 106 14.4 0.025 - 0.52 0.020 - 0.023 1.0 1 Grean Beans, Canned 185 0 0.015 - 0.020 1.0 - Green Beans 548 20 3.6 0.025 - 0.21 0.015 - 0.020 1.0 - Lettuce 713 5 0.7 0.002 ^ 0.0009 - 0.020 0.03 - Orange Juice 132 0 0.020 ^ NT - Oranges 527 0 0.020 ^ NT - Peaches, Canned 743 0 0.046 ^ 2.0 2 Pears 525 0 0.023 ^ NT 0.5 Spinach, Canned 371 0 0.008 ^ 0.03 - Strawberries (X-1 ) 731 281 38.4 0.002 - 0.64 0.001 - 0.020 0.50 1 Sweet Bell Peppers 558 49 8.8 0.002 - 0.18 0.0009 ^ 1.0 - Sweet Potatoes 743 0 0.012 - 0.020 0.03 - Tomatoes 744 0 0.046 ^ 0.30 0.3 Winter Squash 364 1 0.3 0.014 ^ 0.008 - 0.020 0.20 - TOTA L 9,835 501

Napropamide (herbicide)

Apples 744 0 0.007 - 0.020 0.1 - Cantaloupe 742 0 0.020 - 0.040 0.1 - Cauliflowe r 185 0 0.007 ^ 0.1 - Cucumbers 557 0 0.020 ^ 0.1 - Lettuce (V-1) 528 1 0.2 0.17 ^ 0.007 - 0.020 NT - Orange Juice 186 0 0.020 ^ 0.1 - Oranges 742 0 0.020 ^ 0.1 - Peaches, Canned 743 0 0.040 ^ 0.1 - Pears 216 0 0.020 ^ 0.1 - Spinach, Canned 371 0 0.040 ^ NT - Sweet Bell Peppers 558 0 0.007 ^ 0.1 - Sweet Potatoes 743 0 0.008 - 0.020 0.1 - Tomatoes 744 0 0.040 ^ 0.1 - Winter Squash 364 0 0.020 - 0.040 0.1 - TOTA L 7,423 1

Appendix B. Page 30 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm Naptalam (herbicide)

Cantaloupe 527 0 0.24 ^ 0.1 - Spinach, Canned 371 0 0.24 ^ NT - Winter Squash 262 0 0.24 ^ NT - TOTA L 1,160 0

1-Napthal (metabolite of Carbaryl )

Apples (V-5) 5 5 100 0.017 - 0.25 0.010 ^ NT - Cantaloupe 617 0 0.010 - 0.16 10 - Cucumbers 2 2 100 0.017 ^ 0.010 ^ 10 - Grapes 158 9 5.7 0.017 - 0.38 0.010 ^ 10 - Lettuce 90 0 0.010 ^ 10 - Orange Juice 54 0 0.010 ^ 10 - Oranges 162 1 0.6 0.017 ^ 0.010 ^ 10 - Pears (V-7) 7 7 100 0.017 - 0.13 0.010 ^ NT - Spinach, Canned 371 0 0.16 ^ 12 - Strawberries 56 2 3.6 0.017 - 0.079 0.010 ^ 10 - Winter Squash 298 0 0.010 - 0.16 10 - TOTA L 1,820 26

Nitrapyrin (bactericide )

Cantaloupe 527 0 0.016 ^ NT - Spinach, Canned 371 0 0.016 ^ NT - Winter Squash 262 0 0.016 ^ NT - TOTA L 1,160 0

Norflurazon (herbicide)

Apples 744 0 0.016 - 0.067 0.1 - Cantaloupe 527 0 0.018 ^ NT - Cauliflowe r 124 0 0.016 ^ NT - Cucumbers 395 0 0.020 ^ NT - Grapes 738 0 0.010 - 0.020 0.1 - Lettuce 512 0 0.005 - 0.032 NT - Orange Juice 186 0 0.020 ^ 0.2 - Oranges 742 0 0.020 ^ 0.2 - Pears 741 0 0.010 - 0.020 0.1 - Spinach, Canned 371 0 0.018 ^ NT - Sweet Bell Peppers 526 0 0.005 - 0.032 NT - Winter Squash 262 0 0.018 ^ NT - TOTA L 5,868 0

Norflurazon desmethyl (metabolite of Norflurazon)

Apples 744 0 0.018 - 0.060 0.1 - Cantaloupe 527 0 0.021 ^ NT - Cauliflowe r 185 0 0.060 ^ NT - Cucumbers 395 0 0.030 ^ NT - Grapes 738 0 0.010 - 0.030 0.1 - Lettuce 527 0 0.018 - 0.060 NT - Orange Juice 186 0 0.030 ^ 0.2 - Oranges 742 0 0.030 ^ 0.2 - Peaches, Canned 743 0 0.041 ^ 0.1 - Pears 741 0 0.010 - 0.030 0.1 - Spinach, Canned 371 0 0.021 ^ NT - Sweet Bell Peppers 558 0 0.018 ^ NT - Winter Squash 262 0 0.021 ^ NT - TOTA L 6,719 0

Omethoate (metabolite of Dimethoate)

Apples 744 8 1.1 0.004 - 0.024 0.002 - 0.004 2 - Cantaloupe 742 14 1.9 0.007 - 0.077 0.004 - 0.018 1 - Cauliflowe r 185 0 0.002 ^ 2 - Cucumbers (V-2) 397 2 0.5 0.007 - 0.078 0.004 ^ NT - Grapes 716 15 2.1 0.007 - 0.055 0.004 - 0.008 1 -
Appendix B. Page 31 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm Grean Beans, Canned 185 0 0.004 - 0.005 2 - Green Beans 548 20 3.6 0.007 - 0.042 0.004 - 0.005 2 - Lettuce 743 58 7.8 0.004 - 0.097 0.002 - 0.004 2 - Orange Juice 186 0 0.004 ^ 2 - Oranges 742 1 0.1 0.016 ^ 0.004 ^ 2 - Pears 741 1 0.1 0.040 ^ 0.004 - 0.008 2 - Spinach, Canned 371 0 0.018 ^ 2 - Sweet Bell Peppers 558 21 3.8 0.004 - 0.025 0.002 ^ 2 - Tomatoes 744 6 0.8 0.023 ^ 0.014 ^ 2 - Winter Squash 262 0 0.018 ^ NT - TOTA L 7,864 146

Oryzalin (herbicide) Grapes 526 0 0.010 ^ 0.05 - Pears 525 0 0.010 ^ 0.05 - TOTA L 1,051 0

Oxadixyl (fungicide)

Apples 528 0 0.013 ^ NT - Cantaloupe 742 0 0.008 - 0.015 NT - Cauliflowe r 185 0 0.013 ^ NT - Cucumbers (V-2) 557 2 0.4 0.025 - 0.054 0.015 ^ NT - Lettuce 743 0 0.013 - 0.015 NT - Orange Juice 132 0 0.015 ^ NT - Oranges 527 0 0.015 ^ NT - Spinach, Canned 371 0 0.008 ^ NT - Sweet Bell Peppers 558 0 0.013 ^ NT - Sweet Potatoes 739 0 0.013 - 0.015 NT - Winter Squash 262 0 0.008 ^ NT - TOTA L 5,344 2

Oxamyl (insecticide)

Apples 715 2 0.3 0.022 - 0.037 0.0003 - 0.008 2 2 Cantaloupe 742 12 1.6 0.013 - 0.20 0.008 - 0.010 2.0 2 Cauliflowe r 171 0 0.0003 ^ NT - Cucumbers 557 38 6.8 0.013 - 0.24 0.008 - 0.021 2.0 2 Grapes 526 0 0.010 ^ NT - Grean Beans, Canned 131 0 0.020 ^ NT - Green Beans 387 0 0.020 ^ NT - Lettuce (V-5) 486 5 1.0 0.001 - 0.040 0.0003 - 0.008 NT - Orange Juice 186 0 0.010 ^ 3 5 Oranges 742 0 0.010 - 0.10 3 5 Pears 741 0 0.008 - 0.010 2.0 - Spinach, Canned 371 0 0.008 ^ NT - Sweet Bell Peppers 558 95 17.0 0.0005 - 0.28 0.0003 ^ 3 2 Sweet Potatoes 739 0 0.001 - 0.008 0.1 0.1 Tomatoes 744 7 0.9 0.025 ^ 0.015 ^ 2 2 Winter Squash 364 0 0.008 ^ 2.0 - TOTA L 8,160 159

Oxamyl oxime (metabolite of Oxamyl )

Apples 72 0 0.010 ^ 2 2 Cantaloupe 53 4 7.5 0.049 - 0.10 0.010 ^ 2.0 2 Cucumbers 18 1 5.6 0.14 ^ 0.010 ^ 2.0 2 Grapes 526 0 0.010 ^ NT - Orange Juice 186 0 0.010 ^ 3 5 Oranges 241 0 0.010 ^ 3 5 Pears 597 0 0.010 ^ 2.0 - Sweet Potatoes 36 0 0.010 ^ 0.1 0.1 Winter Squash 36 0 0.010 ^ 2.0 - TOTA L 1,765 5

Appendix B. Page 32 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm Oxychlordane (metabolite of Chlordane )

Apples 528 0 0.002 - 0.008 NT - Cauliflowe r 185 0 0.008 ^ NT - Lettuce 527 0 0.008 ^ NT - Sweet Bell Peppers 558 0 0.002 ^ NT - TOTA L 1,798 0

Oxydemeton methyl (insecticide ) Strawberries 520 0 0.015 ^ 2 - TOTA L 520 0

Oxydemeton methyl sulfone (metabolite of Oxydemeton methyl )

Apples 729 0 0.009 - 0.015 1 - Cantaloupe 215 0 0.015 ^ 0.3 - Cucumbers 557 2 0.4 0.025 - 0.077 0.015 ^ 1 - Grapes 738 0 0.015 - 0.023 0.1 - Grean Beans, Canned 185 0 0.010 - 0.015 0.5 - Green Beans 548 0 0.010 - 0.015 0.5 - Lettuce 743 3 0.4 0.015 - 0.17 0.009 - 0.015 2 - Orange Juice 186 0 0.015 ^ 1 - Oranges 742 0 0.015 ^ 1 - Pears 741 0 0.015 - 0.077 0.3 - Strawberries 731 0 0.002 - 0.015 2 - Sweet Bell Peppers 558 1 0.2 0.015 ^ 0.009 ^ 0.75 - Winter Squash 102 0 0.015 ^ 0.3 - TOTA L 6,775 6

Oxyfluorfen (herbicide )

Apples 392 0 0.010 - 0.030 0.05 - Cauliflowe r 185 0 0.010 ^ 0.05 - Cucumbers 395 0 0.030 ^ NT - Grapes 738 0 0.025 - 0.030 0.05 - Lettuce 175 0 0.010 ^ NT - Orange Juice 132 0 0.030 ^ NT - Oranges 527 0 0.030 ^ NT - Pears 741 0 0.025 - 0.030 0.05 - TOTA L 3,285 0

Parathion (insecticide)

Apples 528 0 0.005 - 0.006 NT - Cantaloupe 527 0 0.006 ^ NT - Cauliflowe r 185 0 0.005 ^ NT - Cucumbers 557 0 0.003 ^ NT - Grapes 526 0 0.008 ^ NT - Grean Beans, Canned 131 0 0.017 ^ NT - Green Beans 387 0 0.017 ^ NT - Lettuce 527 0 0.005 - 0.006 NT - Orange Juice 132 0 0.003 ^ NT - Oranges 527 0 0.003 ^ NT - Peaches, Canned 743 0 0.009 ^ NT - Pears 525 0 0.008 ^ NT - Spinach, Canned 371 0 0.006 ^ NT - Sweet Bell Peppers 558 0 0.006 ^ NT - Sweet Potatoes 743 0 0.001 - 0.003 NT - Tomatoes 744 0 0.009 ^ NT - Winter Squash 262 0 0.006 ^ NT - TOTA L 7,973 0

Parathion methyl (insecticide)

Apples 528 0 0.002 - 0.005 NT 0.2 Cantaloupe 527 0 0.006 ^ NT - Cauliflowe r 185 0 0.002 ^ NT -

Appendix B. Page 33 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm Grapes 526 0 0.004 ^ NT 0.5 Grean Beans, Canned 131 0 0.008 ^ NT - Green Beans 387 0 0.008 ^ NT - Lettuce 527 0 0.002 - 0.005 NT - Pears 525 0 0.004 ^ NT - Spinach, Canned 371 0 0.006 ^ NT - Sweet Bell Peppers 558 0 0.005 ^ NT - Winter Squash 262 0 0.006 ^ NT - TOTA L 4,527 0

Parathion methyl oxygen analog (metabolite of Parathion methyl )

Apples 528 0 0.005 - 0.009 NT - Cauliflowe r 185 0 0.005 ^ NT - Lettuce 527 0 0.005 - 0.009 NT - Sweet Bell Peppers 558 0 0.009 ^ NT - TOTA L 1,798 0

Parathion oxygen analog (metabolite of Parathion)

Apples 528 0 0.003 - 0.006 NT - Cantaloupe 527 0 0.016 ^ NT - Cauliflowe r 185 0 0.003 ^ NT - Cucumbers 557 0 0.003 ^ NT - Lettuce 527 0 0.003 - 0.006 NT - Orange Juice 132 0 0.003 ^ NT - Oranges 527 0 0.003 ^ NT - Peaches, Canned 743 0 0.010 ^ NT - Spinach, Canned 371 0 0.016 ^ NT - Sweet Bell Peppers 558 0 0.006 ^ NT - Sweet Potatoes 743 0 0.001 - 0.002 NT - Tomatoes 744 0 0.010 ^ NT - Winter Squash 262 0 0.016 ^ NT - TOTA L 6,404 0

Pendimethalin (herbicide)

Cantaloupe 527 0 0.016 ^ NT - Cucumbers 395 0 0.020 ^ NT - Grapes 526 0 0.015 ^ NT - Grean Beans, Canned 185 0 0.015 - 0.020 NT - Green Beans 540 0 0.015 - 0.020 NT - Orange Juice 132 0 0.020 ^ NT - Oranges 527 0 0.020 ^ NT - Pears 525 0 0.015 ^ NT - Spinach, Canned 371 0 0.016 ^ NT - Winter Squash 262 0 0.016 ^ NT - TOTA L 3,990 0

Pentachloroaniline - PCA (metabolite of Quintozene)

Apples 176 0 0.001 ^ NT - Cauliflowe r 185 0 0.001 ^ 0.1 - Grapes 526 0 0.005 ^ NT - Grean Beans, Canned 131 0 0.010 ^ 0.1 - Green Beans 387 0 0.010 ^ 0.1 - Lettuce 175 0 0.001 ^ NT - Pears 525 0 0.005 ^ NT - Tomatoes 744 0 0.005 ^ 0.1 - TOTA L 2,849 0

Pentachlorobenzene - PCB (metabolite of Quintozene)

Apples 528 0 0.002 - 0.006 NT - Cantaloupe 527 0 0.002 ^ NT - Cauliflowe r 185 0 0.002 ^ 0.1 - Grapes 526 0 0.002 ^ NT - Grean Beans, Canned 185 0 0.002 - 0.003 0.1 -

Appendix B. Page 34 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm
Green Beans 548 0 0.002 - 0.003 0.1 - Lettuce 527 0 0.002 ^ NT - Oranges 286 0 0.002 ^ NT - Pears 525 0 0.002 ^ NT - Spinach, Canned 371 0 0.002 ^ NT - Sweet Bell Peppers 542 0 0.002 ^ 0.1 - Tomatoes 744 0 0.005 ^ 0.1 - Winter Squash 262 0 0.002 ^ NT - TOTA L 5,756 0

Pentachlorophenyl methyl sulfide (metabolite of Quintozene )

Apples 176 0 0.001 ^ NT - Cauliflowe r 185 0 0.001 ^ 0.1 - Grapes 526 0 0.005 ^ NT - Grean Beans, Canned 131 0 0.010 ^ 0.1 - Green Beans 387 0 0.010 ^ 0.1 - Lettuce 175 0 0.001 ^ NT - Pears 525 0 0.005 ^ NT - TOTA L 2,105 0

Permethrin Total (insecticide)

Cantaloupe 527 0 0.029 ^ 3.0 0.1 Grapes 526 0 0.038 ^ NT 2 Grean Beans, Canned 131 0 0.075 ^ NT 1 Green Beans (V-1) 387 1 0.3 0.24 ^ 0.075 ^ NT 1 Pears 525 1 0.2 0.063 ^ 0.038 ^ 3.0 2 Spinach, Canned 371 244 65.8 0.048 - 11 0.029 ^ 20.0 2 Winter Squash 262 3 1.1 0.048 - 0.21 0.029 ^ 3.0 0.5 TOTA L 2,729 249

Permethrin cis (isomer of Permethrin)

Apples 744 0 0.002 - 0.012 0.05 2 Cantaloupe 215 3 1.4 0.020 ^ 0.012 ^ 3.0 0.1 Cauliflowe r 185 0 0.008 ^ 1.0 0.5 Cucumbers 557 1 0.2 0.044 ^ 0.012 - 0.015 3.0 0.5 Grapes 18 0 0.012 ^ NT 2 Lettuce 743 129 17.4 0.004 - 1.0 0.002 - 0.012 20.0 2 Orange Juice 132 0 0.015 ^ NT 0.5 Oranges 527 0 0.015 ^ NT 0.5 Peaches, Canned 743 0 0.023 ^ 5.0 2 Pears 216 0 0.012 ^ 3.0 2 Strawberries 193 0 0.012 ^ NT 1 Sweet Bell Peppers 558 52 9.3 0.004 - 0.060 0.002 ^ 1.0 1 Tomatoes 744 6 0.8 0.025 - 0.051 0.015 - 0.023 2 1 Winter Squash 102 0 0.012 ^ 3.0 0.5 TOTA L 5,677 191

Permethrin trans (isomer of Permethrin)

Apples 744 0 0.006 - 0.012 0.05 2 Cantaloupe 215 2 0.9 0.020 ^ 0.012 ^ 3.0 0.1 Cauliflowe r 185 0 0.008 ^ 1.0 0.5 Cucumbers 557 2 0.4 0.045 - 0.077 0.012 - 0.015 3.0 0.5 Grapes 18 0 0.012 ^ NT 2 Lettuce 743 92 12.4 0.008 - 0.87 0.006 - 0.012 20.0 2 Orange Juice 132 0 0.015 ^ NT 0.5 Oranges 527 0 0.015 ^ NT 0.5 Peaches, Canned 743 0 0.023 ^ 5.0 2 Pears 216 0 0.012 ^ 3.0 2 Strawberries 193 0 0.012 ^ NT 1 Sweet Bell Peppers 558 40 7.2 0.011 - 0.071 0.006 ^ 1.0 1 Tomatoes 744 10 1.3 0.025 - 0.066 0.015 - 0.023 2 1 Winter Squash 102 0 0.012 ^ 3.0 0.5 TOTA L 5,677 146

Appendix B. Page 35 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm Phenmedipham (herbicide)

Cantaloupe 527 0 0.097 ^ NT - Spinach, Canned 371 0 0.097 ^ 0.5 - Winter Squash 262 0 0.097 ^ NT - TOTA L 1,160 0

Phenothrin (insecticide)

Grapes 460 0 0.015 - 0.075 NT - Pears 440 0 0.015 - 0.075 NT - TOTA L 900 0

Phenthoate (insecticide)

Apples 528 0 0.006 ^ NT - Cauliflowe r 185 0 0.006 ^ NT - Lettuce 527 0 0.006 ^ NT - Sweet Bell Peppers 558 0 0.006 ^ NT - TOTA L 1,798 0

o-Phenylphenol (fungicide) Apples 744 64 8.6 0.005 - 0.090 0.003 - 0.010 25 - Cantaloupe 742 16 2.2 0.014 - 0.017 0.008 - 0.010 10 - Cauliflowe r 185 0 0.003 ^ NT - Cucumbers 557 79 14.2 0.017 - 0.49 0.010 - 0.011 10 - Grapes (V-2) 528 2 0.4 0.017 ^ 0.010 - 0.015 NT - Green Beans (V-67) 104 67 64.4 0.017 ^ 0.010 ^ NT - Lettuce (V-42) 582 42 7.2 0.017 ^ 0.003 - 0.010 NT - Orange Juice 186 72 38.7 0.017 ^ 0.010 ^ 10 0.5 Oranges 742 142 19.1 0.017 - 0.062 0.010 ^ 10 10 Peaches, Canned 743 60 8.1 0.023 ^ 0.014 ^ 20 - Pears 741 83 11.2 0.015 - 13 0.010 - 0.015 25.0 20 Spinach, Canned 371 0 0.008 ^ NT - Sweet Bell Peppers 558 19 3.4 0.005 - 0.069 0.003 ^ 10 - Sweet Potatoes 743 80 10.8 0.015 - 1.4 0.009 - 0.010 15 - Tomatoes 744 25 3.4 0.023 - 0.33 0.014 ^ 10 - Winter Squash (V-53) 331 53 16.0 0.014 - 0.017 0.008 - 0.010 NT - TOTA L 8,601 804

Phorate (insecticide)

Apples 528 0 0.002 ^ NT - Cantaloupe 527 0 0.012 ^ NT - Cucumbers 395 0 0.003 - 0.005 NT - Grapes 526 0 0.004 ^ NT - Grean Beans, Canned 185 0 0.008 - 0.011 0.1 0.1 Green Beans 548 0 0.003 - 0.011 0.1 0.1 Lettuce 527 0 0.002 ^ NT - Oranges 286 0 0.003 ^ NT - Pears 525 0 0.004 ^ NT - Spinach, Canned 371 0 0.012 ^ NT - Sweet Bell Peppers 558 0 0.002 ^ NT - Winter Squash 262 0 0.012 ^ NT - TOTA L 5,238 0

Phorate oxygen analog (metabolite of Phorate)

Apples 528 0 0.001 ^ NT - Lettuce 527 0 0.001 ^ NT - Sweet Bell Peppers 558 0 0.001 ^ NT - TOTA L 1,613 0

Phorate sulfone (metabolite of Phorate)

Apples 528 0 0.003 ^ NT - Cantaloupe 527 0 0.012 ^ NT - Cauliflowe r 185 0 0.003 ^ NT -

Appendix B. Page 36 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm
Cucumbers 395 0 0.004 ^ NT - Grapes 526 0 0.012 ^ NT - Grean Beans, Canned 185 0 0.004 - 0.005 0.1 0.1 Green Beans 548 0 0.004 - 0.005 0.1 0.1 Lettuce 527 0 0.003 ^ NT - Oranges 286 0 0.004 ^ NT - Pears 525 0 0.012 ^ NT - Spinach, Canned 371 0 0.012 ^ NT - Sweet Bell Peppers 558 0 0.003 ^ NT - Winter Squash 262 0 0.012 ^ NT - TOTA L 5,423 0

Phorate sulfoxide (metabolite of Phorate)

Apples 528 0 0.009 ^ NT - Cauliflowe r 185 0 0.009 ^ NT - Lettuce 527 0 0.009 ^ NT - Sweet Bell Peppers 558 0 0.009 ^ NT - TOTA L 1,798 0

Phosalone (insecticide)

Apples 744 4 0.5 0.010 - 0.057 0.002 - 0.006 10.0 2 Grapes 738 0 0.006 - 0.015 10.0 - Grean Beans, Canned 131 0 0.030 ^ NT - Green Beans 387 0 0.030 ^ NT - Lettuce 527 0 0.002 ^ NT - Peaches, Canned 743 0 0.039 ^ 15.0 2 Pears 741 0 0.006 - 0.015 10.0 2 Sweet Bell Peppers 558 0 0.002 ^ NT - TOTA L 4,569 4

Phosmet (insecticide)

Apples 744 113 15.2 0.008 - 0.52 0.005 ^ 10 10 Cantaloupe 527 0 0.012 ^ NT - Cucumbers 395 0 0.005 ^ NT - Grapes 738 5 0.7 0.012 - 1.1 0.005 - 0.008 10 10 Grean Beans, Canned 131 0 0.017 ^ NT - Green Beans 387 0 0.017 ^ NT - Lettuce 527 0 0.005 ^ NT - Orange Juice 186 0 0.005 ^ 5 5 Oranges 742 0 0.005 ^ 5 5 Peaches, Canned 743 0 0.018 ^ 10 10 Pears 741 128 17.3 0.008 - 1.6 0.005 - 0.008 10 10 Spinach, Canned 371 0 0.012 ^ NT - Sweet Bell Peppers 558 0 0.005 ^ NT - Sweet Potatoes 743 37 5.0 0.003 - 0.18 0.002 - 0.005 10 - Winter Squash 262 0 0.012 ^ NT - TOTA L 7,795 283

Phosphamidon (insecticide)

Apples 528 0 0.003 ^ NT - Cantaloupe 527 0 0.029 ^ NT - Cauliflowe r 185 0 0.003 ^ NT - Grapes 526 0 0.015 ^ NT - Grean Beans, Canned 131 0 0.033 ^ NT - Green Beans 387 0 0.033 ^ NT - Lettuce 527 0 0.003 ^ NT - Pears 525 0 0.015 ^ NT - Spinach, Canned 371 0 0.029 ^ NT - Sweet Bell Peppers 558 0 0.003 ^ NT - Winter Squash 262 0 0.029 ^ NT - TOTA L 4,527 0

Appendix B. Page 37 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm Piperonyl butoxide (insecticide)

Apples 730 0 0.005 - 0.016 8 - Cantaloupe 742 0 0.008 - 0.010 8 1 Cauliflowe r 139 0 0.005 ^ E X

- Cucumbers 395 0 0.010 - 0.011 E X 1 Grapes 738 0 0.010 - 0.015 8 - Grean Beans, Canned 185 0 0.010 - 0.015 8 - Green Beans 540 0 0.010 - 0.015 8 - Lettuce 685 5 0.7 0.074 - 0.58 0.005 - 0.010 E X 50 Orange Juice 186 0 0.010 ^ 8 0.05 Oranges 742 0 0.010 ^ 8 5 Peaches, Canned 743 0 0.014 ^ 8 - Pears 741 0 0.010 - 0.015 8 - Spinach, Canned 371 4 1.1 0.014 - 2.4 0.008 ^ E X 50 Sweet Bell Peppers 558 0 0.005 ^ E X 2 Sweet Potatoes 743 49 6.6 0.017 - 0.21 0.010 - 0.013 0.25 0.5 Tomatoes 744 31 4.2 0.023 - 0.46 0.014 ^ 8 2 Winter Squash 364 0 0.008 - 0.010 E X 1 TOTA L 9,346 89

Pirimicarb (insecticide)

Apples 528 0 0.010 ^ NT 1 Cauliflowe r 185 0 0.010 ^ NT 1 Lettuce 527 0 0.010 ^ NT 1 Sweet Bell Peppers 558 0 0.010 ^ NT 1 TOTA L 1,798 0

Pirimiphos methyl (insecticide)

Apples 528 0 0.002 ^ NT 2 Cantaloupe 527 0 0.016 ^ NT - Cauliflowe r 185 0 0.002 ^ NT 2 Cucumbers 395 0 0.003 ^ NT 1 Grapes 526 0 0.004 ^ NT - Grean Beans, Canned 131 0 0.008 ^ NT 0.5 Green Beans 387 0 0.008 ^ NT 0.5 Lettuce 527 0 0.002 ^ NT 5 Oranges 286 0 0.003 ^ NT 2 Pears 525 0 0.004 ^ NT 2 Spinach, Canned 371 0 0.016 ^ NT 5 Sweet Bell Peppers 558 0 0.002 ^ NT 1 Winter Squash 262 0 0.016 ^ NT - TOTA L 5,208 0

Prallethrin (insecticide)

Apples 216 0 0.010 ^ 1.0 - Cantaloupe 742 0 0.010 - 0.024 1.0 - Grapes 212 0 0.010 ^ 1.0 - Lettuce 216 0 0.010 ^ 1.0 - Orange Juice 186 0 0.010 ^ 1.0 - Oranges 742 0 0.010 ^ 1.0 - Pears 216 0 0.010 ^ 1.0 - Spinach, Canned 371 0 0.024 ^ 1.0 - Strawberries 731 0 0.010 - 0.082 1.0 - Winter Squash 364 0 0.010 - 0.024 1.0 - TOTA L 3,996 0

Prochloraz (fungicide)

Grapes 526 0 0.002 ^ NT - Grean Beans, Canned 131 0 0.003 ^ NT - Green Beans 387 0 0.003 ^ NT - Pears (V-1) 525 1 0.2 0.013 ^ 0.002 - 0.005 NT - TOTA L 1,569 1

Appendix B. Page 38 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm Procymidone (fungicide)

Grapes 526 0 0.005 ^ NT 5 Pears 525 0 0.005 ^ NT 1 TOTA L 1,051 0

Profenofos (insecticide)

Apples 528 0 0.002 ^ NT - Cauliflowe r 185 0 0.002 ^ NT - Grapes 526 0 0.011 ^ NT - Lettuce 527 0 0.002 ^ NT - Pears 525 0 0.011 ^ NT - Sweet Bell Peppers 558 0 0.002 ^ NT 0.5 TOTA L 2,849 0

Prometryn (herbicide)

Apples 513 0 0.007 ^ NT - Cantaloupe 527 0 0.049 ^ NT - Cauliflowe r 108 0 0.007 ^ NT - Cucumbers 395 0 0.010 - 0.011 NT - Lettuce 513 0 0.007 - 0.022 NT - Orange Juice 132 0 0.010 ^ NT - Oranges 527 0 0.010 ^ NT - Spinach, Canned 371 0 0.049 ^ NT - Sweet Bell Peppers 558 0 0.007 ^ NT - Winter Squash 262 0 0.049 ^ NT - TOTA L 3,906 0

Pronamide (herbicide)

Apples 744 0 0.006 - 0.007 0.1 - Cantaloupe 527 0 0.018 ^ NT - Cauliflowe r 185 0 0.006 ^ NT - Grapes 738 0 0.007 - 0.008 0.1 - Grean Beans, Canned 131 0 0.015 ^ NT - Green Beans 387 0 0.015 ^ NT - Lettuce 743 8 1.1 0.010 - 0.038 0.006 - 0.007 1.0 - Oranges 286 0 0.006 ^ NT - Peaches, Canned 743 0 0.014 ^ 0.1 - Pears 741 0 0.007 - 0.008 0.1 - Spinach, Canned 371 0 0.018 ^ NT - Sweet Bell Peppers 558 0 0.006 ^ NT - Winter Squash 262 0 0.018 ^ NT - TOTA L 6,416 8

Propargite (insecticide)

Apples (V-1) 528 1 0.2 0.15 ^ 0.026 - 0.088 NT 3 Cantaloupe 527 0 0.008 ^ NT - Cauliflowe r 185 0 0.026 ^ NT - Cucumbers 395 0 0.020 ^ NT - Grapes 738 1 0.1 0.51 ^ 0.015 - 0.020 10 7 Lettuce 527 0 0.026 ^ NT - Orange Juice 186 0 0.020 ^ 5 0.3 Oranges 742 0 0.020 ^ 5 3 Pears (V-3) 525 3 0.6 0.016 - 0.12 0.015 - 0.30 NT 5 Spinach, Canned 371 0 0.008 ^ NT - Sweet Bell Peppers 558 0 0.026 ^ NT - Winter Squash 262 0 0.008 ^ NT - TOTA L 5,544 5

Propetamphos (insecticide)

Apples 744 0 0.002 - 0.003 0.1 - Cantaloupe 742 0 0.003 - 0.008 0.1 - Cauliflowe r 185 0 0.002 ^ 0.1 -

Appendix B. Page 39 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm
Cucumbers 395 0 0.003 ^ 0.1 - Grapes 738 0 0.003 - 0.004 0.1 - Lettuce 743 0 0.002 - 0.003 0.1 - Orange Juice 186 0 0.003 ^ 0.1 - Oranges 742 0 0.003 ^ 0.1 - Pears 741 0 0.003 - 0.004 0.1 - Spinach, Canned 371 0 0.008 ^ 0.1 - Strawberries 731 0 0.0006 - 0.003 0.1 - Sweet Bell Peppers 558 0 0.002 ^ 0.1 - Winter Squash 364 0 0.003 - 0.008 0.1 - TOTA L 7,240 0

Propiconazole (fungicide)

Apples 484 0 0.002 - 0.005 NT - Cantaloupe 527 0 0.016 ^ NT - Cauliflowe r 108 0 0.005 ^ NT - Cucumbers 395 0 0.036 ^ NT - Lettuce 397 0 0.005 - 0.008 NT - Orange Juice 132 0 0.036 ^ NT - Oranges 527 0 0.036 ^ NT - Peaches, Canned 743 0 0.035 ^ 1.0 1 Spinach, Canned 371 0 0.016 ^ NT - Sweet Bell Peppers (V-1) 466 1 0.2 0.004 ^ 0.002 ^ NT - Winter Squash 262 0 0.016 ^ NT - TOTA L 4,412 1

Propoxur (insecticide)

Grapes 109 0 0.010 ^ NT - Green Beans 301 0 0.015 ^ NT - Pears 86 0 0.010 ^ NT - TOTA L 496 0

Pymetrozine (insecticide)

Cauliflowe r 124 0 0.005 ^ 0.5 - Lettuce 483 2 0.4 0.008 - 0.015 0.005 - 0.009 0.6 - Sweet Bell Peppers 370 2 0.5 0.015 - 0.031 0.009 ^ 0.2 - Sweet Potatoes 392 0 0.087 ^ 0.02 - TOTA L 1,369 4

Pyridaben (insecticide)

Apples 216 0 0.015 ^ 0.5 - Grapes 212 2 0.9 0.025 ^ 0.015 ^ 1.5 - Orange Juice 186 0 0.010 - 0.015 0.5 - Oranges 742 0 0.010 - 0.015 0.5 - Peaches, Canned 743 0 0.041 ^ 2.5 - Pears 216 0 0.015 ^ 0.75 - TOTA L 2,315 2

Pyriproxyfen (insecticide, growth regulator)

Apples 744 0 0.005 - 0.013 0.2 - Cantaloupe 215 0 0.005 ^ 0.10 - Cauliflowe r 185 0 0.013 ^ 0.70 - Grapes 738 0 0.005 - 0.015 0.10 - Grean Beans, Canned 131 0 0.030 ^ 0.10 - Green Beans 379 0 0.030 ^ 0.10 - Lettuce 743 0 0.005 - 0.013 0.10 - Orange Juice 186 0 0.005 - 0.008 0.3 0.5 Oranges 742 0 0.005 - 0.008 0.3 0.5 Peaches, Canned 743 0 0.014 ^ 1.0 - Pears 741 1 0.1 0.008 ^ 0.005 - 0.015 0.2 - Strawberries 211 5 2.4 0.008 - 0.14 0.005 ^ 0.30 - Sweet Bell Peppers 558 0 0.013 ^ 0.2 -

Appendix B. Page 40 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm
Tomatoes 744 8 1.1 0.023 - 0.058 0.014 ^ 0.2 - Winter Squash 102 0 0.005 ^ 0.10 - TOTA L 7,162 14

Quintozene - PCNB (fungicide) (parent of HCB, PCA and PCB )

Apples 498 0 0.003 - 0.019 NT - Cantaloupe 527 0 0.004 ^ NT - Cauliflowe r 108 0 0.019 ^ 0.1 - Cucumbers 395 0 0.003 ^ NT - Grapes 526 0 0.002 ^ NT - Grean Beans, Canned 185 0 0.001 - 0.003 0.1 0.1 Green Beans 548 32 5.8 0.001 - 0.014 0.0008 - 0.003 0.1 0.1 Lettuce 469 0 0.003 - 0.040 NT - Oranges 286 0 0.003 ^ NT - Pears 525 0 0.002 ^ NT - Spinach, Canned 371 0 0.004 ^ NT - Strawberries 193 0 0.003 ^ NT - Sweet Bell Peppers 526 0 0.003 - 0.019 0.1 0.05 Tomatoes 744 0 0.006 ^ 0.1 0.02 Winter Squash 262 0 0.004 ^ NT - TOTA L 6,163 32

Resmethrin (insecticide)

Apples 216 0 0.010 ^ 3.0 - Cantaloupe 742 0 0.010 - 0.032 3.0 - Grapes 673 0 0.010 - 0.075 3.0 - Lettuce 216 0 0.010 ^ 3.0 - Orange Juice 186 0 0.010 ^ 3.0 - Oranges 742 0 0.010 ^ 3.0 - Pears 720 0 0.010 - 0.30 3.0 - Spinach, Canned 371 0 0.032 ^ 3.0 - Strawberries 211 0 0.010 ^ 3.0 - Sweet Potatoes 216 0 0.010 ^ 3.0 - Winter Squash 364 0 0.010 - 0.032 3.0 - TOTA L 4,657 0

Resmethrin cis (isomer of Resmethrin)

Apples 528 0 0.002 - 0.008 3.0 - Cauliflowe r 185 0 0.008 ^ 3.0 - Lettuce 527 0 0.008 - 0.016 3.0 - Sweet Bell Peppers 558 0 0.002 ^ 3.0 - TOTA L 1,798 0

Resmethrin trans (isomer of Resmethrin)

Apples 528 0 0.002 - 0.008 3.0 - Cauliflowe r 185 0 0.008 ^ 3.0 - Lettuce 527 0 0.008 - 0.016 3.0 - Sweet Bell Peppers 558 0 0.002 ^ 3.0 - TOTA L 1,798 0

Sethoxydim (herbicide) Cantaloupe 87 0 0.13 ^ 4.0 - Winter Squash 118 0 0.13 ^ 4.0 - TOTA L 205 0

Simazine (herbicide)

Apples 744 0 0.002 - 0.010 0.25 - Cantaloupe 527 0 0.018 ^ NT - Cauliflowe r 185 0 0.002 ^ NT - Cucumbers 395 0 0.010 - 0.011 NT - Grapes 738 0 0.010 - 0.011 0.25 - Grean Beans, Canned 131 0 0.023 ^ NT -

Appendix B. Page 41 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm
Green Beans 387 0 0.023 ^ NT - Lettuce 527 0 0.002 ^ NT - Orange Juice 186 0 0.010 ^ 0.25 - Oranges 742 0 0.010 ^ 0.25 - Peaches, Canned 743 0 0.036 ^ 0.25 - Pears 741 0 0.010 - 0.011 0.25 - Spinach, Canned 371 0 0.018 ^ NT - Strawberries 211 0 0.010 ^ 0.25 - Sweet Bell Peppers 558 0 0.002 ^ NT - Winter Squash 262 0 0.018 ^ NT - TOTA L 7,448 0

Spinosad A (insecticide) Strawberries 457 33 7.2 0.035 - 0.12 0.021 ^ 1.0 - Sweet Potatoes 399 0 0.013 ^ 0.10 - TOTA L 856 33

Spinosad D (insecticide) Strawberries 454 4 0.9 0.033 ^ 0.020 ^ 1.0 - Sweet Potatoes 399 0 0.013 ^ 0.10 - TOTA L 853 4

Sulfentrazone (herbicide) Strawberries 518 0 0.020 ^ 0.60 - TOTA L 518 0

Sulprofos (insecticide)

Apples 528 0 0.002 ^ NT - Cauliflowe r 185 0 0.002 ^ NT - Lettuce 527 0 0.002 ^ NT - Sweet Bell Peppers 558 0 0.002 ^ NT - TOTA L 1,798 0

Tebuconazole (fungicide) Apples (V-1) 498 1 0.2 0.013 ^ 0.002 ^ NT 0.5 Cauliflowe r 185 0 0.002 ^ NT - Cucumbers (V-1) 395 1 0.3 0.033 ^ 0.020 ^ NT 0.2 Grapes 738 39 5.3 0.033 - 0.27 0.020 - 0.023 5.0 2 Grean Beans, Canned 131 0 0.045 ^ NT - Green Beans 387 0 0.045 ^ NT - Lettuce (V-1) 483 1 0.2 0.003 ^ 0.002 ^ NT - Orange Juice 132 0 0.020 ^ NT - Oranges 527 0 0.020 ^ NT - Peaches, Canned 743 0 0.066 ^ 1.0 1 Pears 525 0 0.023 ^ NT 0.5 Sweet Bell Peppers 558 0 0.002 ^ NT 0.5 TOTA L 5,302 42

Tebufenozide (insecticide) Apples 700 27 3.9 0.005 - 0.10 0.003 ^ 1.0 1 Cauliflowe r 139 0 0.003 ^ 5.0 - Grapes 738 7 0.9 0.003 - 0.19 0.001 - 0.003 3.0 2 Green Beans (V-2) 2 2 100 0.028 - 0.043 0.003 ^ NT - Lettuce 670 4 0.6 0.005 - 0.27 0.003 - 0.010 10.0 10 Pears 741 18 2.4 0.005 - 0.24 0.001 - 0.003 1.5 1 Sweet Bell Peppers 464 36 7.8 0.005 - 0.11 0.003 ^ 1.0 1 Sweet Potatoes 523 0 0.011 ^ 0.25 - TOTA L 3,977 94

Tecnazene (fungicide) Apples 426 0 0.005 ^ NT - Cauliflowe r 185 0 0.005 ^ NT -

Appendix B. Page 42 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm Grapes 526 0 0.001 ^ NT - Grean Beans, Canned 131 0 0.002 ^ NT - Green Beans 387 0 0.002 ^ NT - Lettuce 468 0 0.005 ^ NT - Pears 525 0 0.001 ^ NT - Sweet Bell Peppers 448 0 0.005 ^ NT - TOTA L 3,096 0

TEPP (insecticide) Apples 528 0 0.006 ^ NT - Lettuce 527 0 0.006 ^ NT - Sweet Bell Peppers 558 0 0.006 ^ NT - TOTA L 1,613 0

Terbacil (herbicide) Apples 744 0 0.006 - 0.020 0.3 - Cantaloupe 527 0 0.018 ^ NT - Cauliflowe r 185 0 0.006 ^ NT - Cucumbers 395 0 0.020 ^ NT - Grapes 526 0 0.015 ^ NT - Lettuce 527 0 0.006 ^ NT - Oranges 132 0 0.020 ^ NT - Peaches, Canned 743 0 0.039 ^ 0.2 - Pears 525 0 0.015 ^ NT - Spinach, Canned 371 0 0.018 ^ NT - Strawberries 211 0 0.020 ^ 0.1 - Sweet Bell Peppers 558 0 0.006 ^ NT - Winter Squash 262 0 0.018 ^ NT - TOTA L 5,706 0

Terbufos (insecticide) Apples 528 0 0.002 ^ NT - Cantaloupe 527 0 0.015 ^ NT - Cauliflowe r 185 0 0.002 ^ NT - Cucumbers 395 0 0.006 ^ NT - Grapes 526 0 0.005 ^ NT - Lettuce 527 0 0.002 ^ NT - Oranges 286 0 0.006 ^ NT - Pears 525 0 0.005 ^ NT - Spinach, Canned 371 0 0.015 ^ NT - Sweet Bell Peppers 558 0 0.002 ^ NT - Winter Squash 262 0 0.015 ^ NT - TOTA L 4,690 0

Terbufos sulfone (metabolite of Terbufos) Apples 528 0 0.002 ^ NT - Cantaloupe 527 0 0.018 ^ NT - Cauliflowe r 185 0 0.002 ^ NT - Cucumbers 395 0 0.004 ^ NT - Grapes 526 0 0.005 ^ NT - Grean Beans, Canned 131 0 0.010 ^ NT - Green Beans 322 0 0.010 ^ NT - Lettuce 527 0 0.002 ^ NT - Oranges 286 0 0.004 ^ NT - Pears 525 0 0.005 ^ NT - Spinach, Canned 371 0 0.018 ^ NT - Sweet Bell Peppers 558 0 0.002 ^ NT - Winter Squash 262 0 0.018 ^ NT - TOTA L 5,143 0

Tetrachlorvinphos (insecticide) Apples 528 0 0.003 ^ NT - Cantaloupe 527 0 0.008 ^ NT -
Appendix B. Page 43 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm
Cauliflowe r 185 0 0.003 ^ NT - Cucumbers 395 0 0.006 ^ NT - Lettuce 527 0 0.003 ^ NT - Oranges 286 0 0.006 ^ NT - Spinach, Canned 371 0 0.008 ^ NT - Sweet Bell Peppers 558 0 0.003 ^ NT - Winter Squash 262 0 0.008 ^ NT - TOTA L 3,639 0

Tetradifon (insecticide) Apples 744 0 0.010 - 0.032 5 - Cantaloupe 742 0 0.012 - 0.028 1 - Cauliflowe r 169 0 0.032 - 0.13 NT - Cucumbers 557 0 0.006 - 0.012 1 - Grapes 738 0 0.004 - 0.012 5 - Grean Beans, Canned 131 0 0.008 ^ NT - Green Beans 387 0 0.008 ^ NT - Lettuce 527 0 0.010 - 0.064 NT - Orange Juice 186 0 0.012 ^ 2 - Oranges 742 0 0.012 ^ 2 - Peaches, Canned 743 0 0.012 ^ 5 - Pears 741 0 0.004 - 0.012 5 - Spinach, Canned 371 0 0.028 ^ NT - Strawberries 731 0 0.004 - 0.012 5 - Sweet Bell Peppers 558 0 0.010 ^ NT - Tomatoes 744 0 0.012 ^ 1 - Winter Squash 364 0 0.012 - 0.028 1 - TOTA L 9,175 0

Tetrahydrophthalimide - THPI (metabolite of Captafol and Captan ) Apples 568 72 12.7 0.033 - 0.83 0.020 - 0.040 25 - Cantaloupe 302 0 0.009 - 0.040 25 - Cauliflowe r 123 0 0.066 ^ 2 - Grapes 738 68 9.2 0.067 - 1.3 0.040 - 0.075 50 - Green Beans 4 4 100 0.13 - 0.54 0.040 ^ 25 - Lettuce 567 0 0.020 - 0.060 100 - Pears 741 49 6.6 0.067 - 0.86 0.040 - 0.075 25 - Strawberries 211 145 68.7 0.067 - 1.5 0.040 ^ 25 - Sweet Bell Peppers 310 4 1.3 0.033 ^ 0.020 ^ 25 - Winter Squash 232 0 0.009 - 0.060 25 - TOTA L 3,796 342

Tetramethrin (insecticide) Grapes 526 0 0.015 ^ NT - Pears 525 0 0.015 ^ NT - TOTA L 1,051 0

Thiabendazole (fungicide) Apples 744 644 86.6 0.0002 - 5.8 0.0001 - 0.030 10 3 Cantaloupe 742 8 1.1 0.075 - 0.38 0.030 - 0.045 15.0 - Cauliflowe r 185 0 0.0005 ^ NT - Cucumbers 395 0 0.010 - 0.030 NT - Grapes 526 0 0.050 ^ NT - Lettuce (V-43) 527 43 8.2 0.0002 - 0.032 0.0001 ^ NT - Orange Juice 186 0 0.030 ^ 10 10 Oranges 742 252 34.0 0.050 - 0.75 0.030 ^ 10 10 Pears 741 481 64.9 0.050 - 4.3 0.030 - 0.050 10 3 Spinach, Canned 371 0 0.045 ^ NT - Strawberries 731 0 0.0002 - 0.030 5.0 - Sweet Bell Peppers (V-152) 558 152 27.2 0.0002 - 0.003 0.0001 ^ NT - Sweet Potatoes 216 0 0.030 ^ 0.02 - Winter Squash 364 0 0.030 - 0.045 1 - TOTA L 7,028 1,580

Appendix B. Page 44 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm Thiamethoxam (insecticide) Apples 513 0 0.015 ^ 0.2 - Cauliflowe r 185 0 0.015 ^ NT - Lettuce 497 0 0.015 ^ NT - Sweet Bell Peppers 558 30 5.4 0.025 ^ 0.015 ^ 0.25 - Sweet Potatoes 523 0 0.006 ^ 0.02 - TOTA L 2,276 30

Thiazopyr (herbicide) Orange Juice 132 0 0.010 ^ 0.05 - Oranges 527 0 0.010 ^ 0.05 - TOTA L 659 0

Thiobencarb (herbicide) Cucumbers 395 0 0.010 - 0.011 NT - Lettuce 216 0 0.010 ^ 0.2 - Orange Juice 132 0 0.010 ^ NT - Oranges 527 0 0.010 ^ NT - TOTA L 1,270 0

Thiodicarb (insecticide) Lettuce 162 0 0.002 ^ 35 5 Pears (V-1) 1 1 100 0.021 ^ 0.002 ^ NT 2 TOTA L 163 1

Tri-Allate (herbicide ) Grapes 526 0 0.015 ^ NT - Pears 525 0 0.015 ^ NT - TOTA L 1,051 0

Triadimefon (fungicide) Apples 700 0 0.0009 - 0.025 1.0 0.5 Cantaloupe 742 0 0.023 - 0.025 0.3 0.1 Cauliflowe r 185 0 0.0009 ^ NT - Cucumbers 557 1 0.2 0.042 ^ 0.025 - 0.026 0.3 0.1 Grapes 738 0 0.011 - 0.025 1.0 0.5 Grean Beans, Canned 131 0 0.023 ^ NT - Green Beans 387 0 0.023 ^ NT - Lettuce 469 0 0.003 ^ NT - Orange Juice 132 0 0.025 ^ NT - Oranges 527 0 0.025 ^ NT - Pears 741 0 0.011 - 0.025 1.0 0.5 Spinach, Canned 371 0 0.023 ^ NT - Strawberries 193 0 0.025 ^ NT 0.1 Sweet Bell Peppers 480 0 0.003 ^ NT 0.1 Winter Squash 364 0 0.023 - 0.025 0.3 0.1 TOTA L 6,717 1

Triadimenol (metabolite of Triadimefon) Cantaloupe 215 0 0.015 ^ NT 2 Cucumbers (V-1) 109 1 0.9 0.025 ^ 0.015 ^ NT 2 Grapes (V-15) 212 15 7.1 0.025 - 0.22 0.015 ^ NT 2 Pears 216 0 0.015 ^ NT 0.5 Winter Squash 102 0 0.015 ^ NT 2 TOTA L 854 16

1,2,4-Triazole (common metabolite of triazole compounds) Strawberries 518 0 0.036 ^ NT - TOTA L 518 0

Triazole acetic acid - TAA (common metabolite of triazole compounds ) Strawberries 518 0 0.011 ^ NT - TOTA L 518 0
Appendix B. Page 45 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm Triazole alanine - TA (common metabolite of triazole compounds) Strawberries (V-64 ) 518 64 12.4 0.060 - 0.13 0.036 ^ NT - TOTA L 518 64

Trifloxystrobin (fungicide) Orange Juice 132 0 0.010 ^ 0.3 - Oranges 527 0 0.010 ^ 0.3 - TOTA L 659 0

Triflumizole (fungicide) Apples 216 0 0.050 ^ 0.5 - Cantaloupe 742 0 0.040 - 0.050 0.5 - Grapes 738 0 0.020 - 0.050 2.5 - Pears 741 0 0.020 - 0.050 0.5 - Spinach, Canned 371 0 0.040 ^ NT - Strawberries 211 3 1.4 0.083 - 0.18 0.050 ^ 2.0 - Winter Squash 364 0 0.040 - 0.050 0.5 - TOTA L 3,383 3

Trifluralin (herbicide) Apples 528 0 0.0005 ^ NT - Cantaloupe 742 0 0.008 - 0.017 0.05 - Cauliflowe r 185 0 0.0005 ^ 0.05 - Cucumbers 557 0 0.017 ^ 0.05 - Grapes 738 0 0.015 - 0.017 0.05 - Grean Beans, Canned 185 0 0.015 - 0.017 0.05 - Green Beans 540 0 0.015 - 0.017 0.05 - Lettuce 743 13 1.7 0.0008 - 0.003 0.0005 - 0.017 0.05 - Orange Juice 186 0 0.017 ^ 0.05 - Oranges 742 0 0.017 ^ 0.05 - Peaches, Canned 743 0 0.024 ^ 0.05 - Pears 525 0 0.015 ^ NT - Spinach, Canned 371 0 0.008 ^ 0.05 - Sweet Bell Peppers 558 1 0.2 0.0008 ^ 0.0005 ^ 0.05 - Sweet Potatoes 743 0 0.001 - 0.017 0.05 - Tomatoes 744 0 0.024 ^ 0.05 - Winter Squash 364 0 0.008 - 0.017 0.05 - TOTA L 9,194 14

Triforine (fungicide) Apples 528 0 0.003 ^ 0.01 2 Cauliflowe r 185 0 0.003 ^ NT - Lettuce 513 0 0.003 ^ NT - Sweet Bell Peppers 558 0 0.003 ^ 5.0 - TOTA L 1,784 0

V ernolate (herbicide) Cantaloupe 527 0 0.016 ^ NT - Spinach, Canned 371 0 0.016 ^ NT - Sweet Potatoes 743 0 0.008 - 0.050 NT - Winter Squash 262 0 0.016 ^ NT - TOTA L 1,903 0

V inclozolin (fungicide) Apples 528 0 0.004 ^ NT 1 Cantaloupe 527 0 0.014 ^ NT 1 Cauliflowe r 185 0 0.004 ^ NT 1 Cucumbers 557 0 0.002 - 0.010 NT 1 Grapes 526 0 0.003 ^ NT 5 Grean Beans, Canned 185 4 2.2 0.005 ^ 0.003 - 0.010 2.0 2 Green Beans 548 43 7.8 0.004 - 0.41 0.003 - 0.010 2.0 2 Lettuce 743 6 0.8 0.006 - 0.11 0.004 - 0.010 10.0 5

Appendix B. Page 46 of 47Pesticide / Commodity Number of Samples Samples with Detections % of Samples with Detections Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm Orange Juice 132 0 0.003 ^ NT - Oranges 527 0 0.003 ^ NT - Pears 525 0 0.003 ^ NT 1 Spinach, Canned 371 0 0.014 ^ NT - Strawberries (V-1) 1 1 100 0.034 ^ 0.010 ^ NT 10 Sweet Bell Peppers (V-2) 558 2 0.4 0.006 - 0.036 0.004 ^ NT 3 Winter Squash 262 0 0.014 ^ NT - TOTA L 6,175 56

Zoxamide (fungicide) Cantaloupe 527 0 0.020 ^ 1.0 - Spinach, Canned 371 0 0.020 ^ NT - Winter Squash 262 0 0.020 ^ 1.0 - TOTA L 1,160 0

NOTES Only one distinct detected concentration or LOD value was reported for the pair. No tolerance level was set for that pesticide/commodity pair. Numbers shown are Action Levels established by FDA and Codex Extraneous Maximum Residue Levels (EMRLs) for som e pesticides. Under FQPA, responsibility for establishing tolerances in lieu of action levels has been transferred to EPA. In t he interim, action levels are used. Exempt from tolerance application. Safe use in spot and/or crack and crevice treatments. Residue was found where no tolerance was established by EPA. Following "V" are the number of occurrences. Residue was found which exceeds EPA tolerance or FDA action level. Following "X" are the number of occurrences.

Previously reported as lambda cyhalothrin total, which included lambda cyhalothrin (a 1:1 mixture of the cis-(1R,3R),S-enantiom e r and the cis-(1S,3S),R-enantiomer) as well as R157836 (a 1:1 mixture of the cis-(1S,3S),S-enantiomer and the cis-(1R,3R), R-enantiomer). ^

(V) = (X) =

** = NT = AL =

EX = SU



## M

any of the listed tolerances and MRLs are the sum of a parent compound and metabolite(s)/isomer(s). The reader is advised to refer to EPA for the complete listing of compounds in tolerance expressions and to Codex for the complete listing of compounds in MRL expressions.

Appendix B. Page 47 of 47

# Appendix C
Distribution of Residues by Pesticide in Soybeans

Appendix C shows residue detections for a ll soybean compounds tested, including range of values detected, r ange of Limits of Detection (LODs), and Environmental Protection Agency (EPA) and Codex Maxi mum Residue Limit/Extraneous Maximum Residue Limit (MRL/EMRL) tolerance references for each pair.
In 2004, PDP analyzed 616 soybean samples. A total of 256 samples (42 percent) were reported with residue detections. All re sidue detections were much lower than the established tolerances.
See Appendix B for definition of MRLs.

MRLs/EMRLs shown in this appendix ar e from the Codex Alimentarius: Proc. of Codex Committee on Pesticide Residues , 37 th 

## Session, April 18-23, 2005, The Hague, The Netherlands. Only Codex MRLs (CXLs) are listed.
Because residues are expressed in ppb, EPA Tolerances and Codex MRLs have been multiplied by a factor of 1,000 as a basis for comparison using a single scale. There is no intention to imply any more exactness in the value than that originally expressed by EPA and Codex.
The information herein is only intended to be an initial reference. Readers are reminded that international regul ations and MRLs may change and t hat it is important that information obtained from this table be verified with knowledgeable parties in the market of interest prior to sale or shipment of exports.Pesticide Pest. Type Number of Samples Samples with Detections % of Samples w/

Detects Range of Values Detected, ppb Range of LODs, ppb EPA Tolerance Level, ppb* Codex MRL/EMRL, ppb*



### 3-Hydroxycarbofuran IM 548 3.0 ^ 200 -
5-Hydroxythiabendazole FM 542 3.0 ^ 100 -
Acephate I 596 40 ^ 1000 500

Acetochlor H 616 3.1 ^ 100 -

Alachlor H 616 5 0.8 8.0 - 17 1.2 ^ 200 -

Aldicarb I 428 10 ^ 20 20

Aldicarb sulfone IM 531 3.0 ^ 20 20

Aldicarb sulfoxide IM 532 10 ^ 20 20

Aldrin I 596 12.5 ^ 50 50

Bendiocarb I 523 1.5 ^ SU -

Benoxacor S 616 3.0 ^ 10 -

Boscalid F 616 1.5 ^ 2000 - Carbaryl I 586 3.0 ^ 5000 200

Carbendazim - MBC F 616 1.5 ^ 200 200

Carbofuran I 611 3.0 ^ 200 -

Carboxin FM 592 1.2 ^ 200 - Chlorimuron ethyl H 557 10 ^ 50 - Chlorpyrifos I 616 178 28.9 5.0 - 25.2 3.0 ^ 300 -

Clofencet P 594 30 ^ 30000 -

Clomazone H 616 3.0 ^ 50 -

Clothianidin I 606 3.0 ^ NT - Cyfluthrin I 537 10 ^ 50 - Cyhalothrin, epimer R157836 I 96 4.0 ^ 10 - Cyhalothrin, Lambda I 500 4.0 ^ 10 - Cypermethrin I 596 25 ^ 50 50
DDD p,p' IM 616 1.5 ^ 200 -
DDE p,p' IM 596 1.9 ^ 200 -

Deltamethrin - includes parent Tralomethrin I 496 15 - 27 50 200

Dieldrin I 616 4 0.6 4.0 ^ 2.4 ^ 50 50

Dimethenamid H 616 1.0 ^ 10 -

Dimethoate I 616 8.0 ^ 50 -

Disulfoton I 616 6.0 ^ 100 -

Disulfoton sulfone IM 616 30 ^ 100 - 

## APPENDIX C. DISTRIBUTION OF RESIDUES BY PESTICIDE IN SOYBEANS

Appendix C. Page 1 of 3Pesticide Pest. Type Number of Samples Samples with Detections % of Samples w/

Detects Range of Values Detected, ppb Range of LODs, ppb EPA Tolerance Level, ppb* Codex MRL/EMRL, ppb*



### Disulfoton sulfoxide IM 551 3.6 ^ 100 -

Endrin I 616 5.4 ^ 50 -

EPTC H 522 3.0 ^ 100 -

Esfenvalerate I 616 10 ^ 50 -

Ethalfluralin H 595 0.80 ^ 50 -
Fenoxaprop ethyl H 616 1.5 ^ 50 -
Fenpropathrin I 616 4.2 ^ NT - Fluazifop butyl H 616 3.0 ^ 1000 -

Fludioxonil F 597 8.0 ^ 10 -

Flumetsulam H 596 10 ^ 50 -

Fluridone H 511 1.0 ^ 100 - Hydroprene R 596 1 0.2 35 ^ 21 ^ 200 -
Imazaquin H 587 3.0 ^ 50 -
Imidacloprid I 571 3.0 ^ 300 -

Indoxacarb I 591 27 ^ NT -

Lactofen H 606 9.0 ^ 50 -

Linuron H 601 3.0 ^ 1000 -

Malathion I 616 72 11.7 9.7 - 179 5.8 ^ 8000 - Malathion oxygen analog IM 596 2.7 ^ NT - Metalaxyl F 616 2.0 ^ 1000 50
Methamidophos IM 557 30 ^ 1000 50
Methomyl I 611 3.0 ^ 200 200
Methoxyfenozide I 557 3.0 ^ 100.0 -

Metolachlor H 616 1.9 ^ 200 -

Metribuzin H 616 6.5 ^ 300 -
Myclobutanil F 613 1.9 ^ 30 -

Norflurazon H 616 15 ^ 100 -
Norflurazon desmethyl HM 96 5.0 ^ 100 -

Omethoate IM 616 4.2 ^ 50 -
Oxadixyl F 616 3.0 ^ NT -
Oxamyl I 579 3.0 ^ 200 -
Oxyfluorfen H 606 2.0 ^ 50 -
Parathion ethyl I 616 4.2 ^ 100 -
Parathion methyl I 577 6.1 ^ 100 -

Appendix C. Page 2 of 3Pesticide Pest. Type Number of Samples Samples with Detections % of Samples w/

Detects Range of Values Detected, ppb Range of LODs, ppb EPA Tolerance Level, ppb* Codex MRL/EMRL, ppb*


### Parathion methyl oxygen analog IM 563 1.7 ^ NT -
Parathion oxygen analog IM 596 25 ^ NT -

Pendimethalin H 616 6.0 ^ NT -

Permethrin Total I 596 13 2.2 15.5 ^ 9.3 ^ 50 50

Phorate I 616 4.4 ^ 100 50

Prallethrin I 616 45 ^ 1000 -
Propetamphos I 616 5 0.8 2.0 ^ 1.0 ^ 100 -
Pyriproxyfen I 616 32.3 ^ 100.0 -
Quizalofop ethyl H 616 1.9 ^ 50 -

Resmethrin I 597 2.3 ^ 30000 -
Spinosad A I 583 3.0 ^ 20 10

Sulfentrazone H 553 15 ^ NT -
Tetrahydrophthalimide - THPI FM 616 15 ^ 2000 -

Thiabendazole F 616 3.0 ^ 100 -
Thifensulfuron methyl H 576 6.0 ^ 100 -

Trifluralin H 616 4 0.6 3.0 ^ 2.0 ^ 50 -



### NOTES * = EPA Tolerances and Codex MRLs have been multiplied by a factor of 1,000 as a basis for comparison

using a single scale. There is no intention to imply any more exactness in the value than that originally expressed by EPA and Codex. ^ = Only one distinct detected concentration or LOD value was reported for the pair. NT = No tolerance level was set for that pesticide/commodity pair.

Pesticide Types: F = Fungicide, FM = Fungicide Metabolite
H = Herbicide I = Insecticide, IM = Insecticide Metabolite P = Plant Growth Regulator R = Insect Growth Regulator S = Herbicide Safener 

## M

any of the listed tolerances and MRLs are the sum of a parent compound and metabolite(s)/isomer(s). The reader is advised to refer to EPA for the complete listing of compounds in tolerance expressions and to Codex for the complete listing of compounds in MRL expressions.

Appendix C. Page 3 of 3

# Appendix D

Distribution of Residues by Pesticide in Wheat Flour

Appendix D shows residue detections for all wheat flour compounds tested, including range of values detected, r ange of Limits of Detection (LODs), and Environmental Protection Agency (EPA) and Codex Maxi mum Residue Limit/Extraneous Maximum Residue Limit (MRL/EMRL) tolerance references for each pair.
In 2004, PDP analyzed 725 wheat flour samp les. A total of 410 samples (57 percent) were reported with residue detections. All residue detections were much lower than the established tolerances.
See Appendix B for definition of MRLs.
MRLs/EMRLs shown in this appendix are from the Codex Alimentarius: Proc. of Codex Committee on Pesticide Residues , 37 th 

## Session, April 18-23, 2005, The Hague, The Netherlands. Only Codex MRLs (CXLs) are listed.
The information herein is only intended to be an initial reference. Readers are reminded that international regulations and MRLs may change and that itis important that information obtained from this table be verified with knowledgeable parties in the market of interest prior to sale or shipment of exports.Pesticide Pest. Type Number of Samples Samples with Detections % of Samples w/

Detects Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm



### 3-Hydroxycarbofuran IM 519 0.006 ^ 0.1 -

Acetochlor H 725 0.003 ^ 0.02 -

Allethrin I 725 0.003 ^ 2 -

Atrazine H 705 0.003 ^ 0.25 -

Bromuconazole 46 FM 725 0.006 ^ NT -

Bromuconazole 47 FM 705 0.004 ^ NT - Carbaryl I 725 0.006 ^ 3 0.2

Carbofuran I 725 1 0.1 0.15 ^ 0.023 ^ 0.1 -

Carboxin FM 725 0.003 ^ 0.2 - Carfentrazone ethyl H 725 1 0.1 0.005 ^ 0.003 ^ 0.10 - Chlorpyrifos I 705 0.006 ^ 0.5 0.1 Chlorpyrifos methyl I 725 151 20.8 0.032 - 0.093 0.019 ^ 6.0 2 Clodinafop propargyl H 685 1 0.1 0.005 ^ 0.003 ^ 0.1 - Cyanazine H 725 0.005 ^ 0.1 - Cyfluthrin I 705 2 0.3 0.038 ^ 0.023 ^ 4.0 - Cyhalothrin, Lambda I 725 0.003 ^ 0.05 - Cyproconazole F 725 0.011 ^ NT -
DDE p,p' IM 725 1 0.1 0.005 ^ 0.003 ^ 0.5 -

Diazinon I 725 3 0.4 0.005 ^ 0.003 ^ 0.05 - Diazinon oxygen analog IM 725 0.006 ^ NT - Diclofop methyl H 725 0.003 ^ 0.1 -

Dieldrin I 705 0.006 ^ 0.02 -

Difenoconazole F 700 0.004 ^ 0.1 -

Dimethoate I 725 0.028 ^ 0.04 -
Dimethomorph F 647 0.019 ^ NT -

Disulfoton I 725 0.003 ^ 0.3 -

Disulfoton sulfone IM 705 0.013 ^ 0.3 -

Endosulfan I I 725 0.006 ^ 0.1 -

Endosulfan II IM 725 0.006 ^ 0.1 -

Endosulfan sulfate IM 725 0.003 ^ 0.1 -
Epoxiconazole F 725 0.004 ^ NT -

Etridiazole F 719 1 0.1 0.017 ^ 0.010 ^ 0.05 -

Fenbuconazole F 705 0.009 ^ NT - 

## APPENDIX D. DISTRIBUTION OF RESIDUES BY PESTICIDE IN WHEAT FLOUR

Appendix D. Page 1 of 3Pesticide Pest. Type Number of Samples Samples with Detections % of Samples w/

Detects Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm


### Fenitrothion I 705 0.006 ^ NT 2

Fludioxonil F 560 0.009 ^ 0.02 -

Flufenacet H 725 0.006 ^ 1 -

Fluridone H 666 4 0.6 0.005 ^ 0.003 ^ 0.1 -
Heptachlor epoxide IM 725 0.003 ^ NT -

Hexaconazole F 725 0.004 ^ NT -

Imazalil F 686 0.028 ^ 0.05 - Lindane - BHC gamma I 725 0.006 ^ 0.1 -

Linuron H 705 0.025 ^ 0.25 -

Malathion I 725 358 49.4 0.005 - 0.68 0.003 ^ 8 2
Malathion oxygen analog IM 725 0.005 ^ NT -
Metalaxyl F 725 0.006 ^ 1.0 -
Methoprene R 660 0.013 ^ 5.0 2
Methoxychlor p,p' (V-21) I 725 21 2.9 0.008 ^ 0.005 ^ NT -

Metolachlor H 725 0.003 ^ 0.1 -

Metribuzin H 725 0.006 ^ 0.75 -
Myclobutanil F 706 1 0.1 0.022 ^ 0.013 ^ 0.03 -

Omethoate IM 705 0.003 ^ 0.04 -
Parathion ethyl I 711 0.005 ^ 1.0 -
Parathion oxygen analog IM 711 0.019 ^ NT -

Phorate I 725 0.008 ^ 0.05 -

Phorate sulfone IM 725 0.005 ^ 0.5 -
Piperonyl butoxide I 725 19 2.6 0.010 - 0.40 0.006 ^ 20 10
Pirimiphos methyl (V-15) I 725 15 2.1 0.005 ^ 0.003 ^ NT 2
Propanil H 705 0.005 ^ 0.2 -
Propiconazole F 725 0.011 ^ 0.1 -
RH 9129 (fenbuconazole metabolite) FM 725 0.005 ^ NT -
RH 9130 (fenbuconazole metabolite) FM 705 0.004 ^ NT -

TCMTB F 725 0.025 ^ 0.1 -

Tebuconazole F 725 0.010 ^ 0.05 -

Tetraconazole F 725 0.004 ^ NT -

Thiabendazole F 685 1 0.1 0.022 ^ 0.013 ^ 1.0 -

Thiamethoxam I 705 0.003 ^ 0.02 -

Appendix D. Page 2 of 3Pesticide Pest. Type Number of Samples Samples with Detections % of Samples w/

Detects Range of Values Detected, ppm Range of LODs, ppm EPA Tolerance Level, ppm Codex MRL/EMRL, ppm


### Tri Allate H 725 0.006 ^ 0.05 -

Triadimefon F 725 0.003 ^ 1.0 -

Triadimenol F 524 0.006 ^ 0.05 -

Trifluralin H 725 10 1.4 0.010 ^ 0.006 ^ 0.05 -

Triticonazole F 725 0.004 ^ 0.05 -



### NOTES ^ = Only one distinct detected concentration or LOD value was reported for the pair. NT = No tolerance level was set for that pesticide/commodity pair. (V) = Residue was found where no tolerance was established by EPA. Following "V" are the number of occurrences.

Pesticide Types: F = Fungicide, FM = Fungicide Metabolite
H = Herbicide I = Insecticide, IM = Insecticide Metabolite R = Insect Growth Regulator



## M

any of the listed tolerances and MRLs are the sum of a parent compound and metabolite(s)/isomer(s). The reader is advised to refer to EPA for the complete listing of compounds in tolerance expressions and to Codex for the complete listing of compounds in MRL expressions.

Appendix D. Page 3 of 3

# Appendix E

Distribution of Residues by Pesticide in Milk

Appendix E shows residue detections for all milk compounds tested, including range of values detected, range of Limits of De tection (LODs), and Environmental Protection Agency (EPA) and Codex Maximum Residue Limit/Extraneous Maximum Residue Limit (MRL/EMRL) tolerance references for each pair.
In 2004, PDP analyzed 739 milk samples. All 739 samples (100 percent) were reported with residue detections, all of which were much lower than the established tolerances.
See Appendix B for definition of MRLs.
MRLs/EMRLs shown in this appendix ar e from the Codex Alimentarius: Proc. of Codex Committee on Pesticide Residues , 37 th 

## Session, April 18-23, 2005, The Hague, The Netherlands. Only Codex MRLs (CXLs) are listed.
Because residues are expressed in ppb, EPA Tolerances and Codex MRLs have been multiplied by a factor of 1,000 as a basis for comparison using a single scale. There is no intention to imply any more exactness in the value than that originally expressed by EPA and Codex.
The information herein is only intended to be an initial reference. Readers are reminded that international regul ations and MRLs may change and t hat it is important that information obtained from this table be verified with knowledgeable parties in the market of interest prior to sale or shipment of exports.Pesticide Pest. Type Number of Samples Samples with Detections % of Samples w/

Detects Range of Values Detected, ppb Range of LODs, ppb EPA Tolerance Level, ppb* Codex MRL/EMRL, ppb*



### 3-Hydroxycarbofuran IM 739 65 8.8 0.20 - 1.4 0.12 ^ 20 -
Acephate I 739 0.090 ^ 100 100

Alachlor H 739 0.15 ^ 20 -

Aldicarb I 739 0.12 ^ NT 10

Aldicarb sulfone IM 739 0.060 ^ NT 10

Aldicarb sulfoxide IM 739 0.18 ^ NT 10

Amitraz I 739 0.51 ^ 30 10

Atrazine H 739 0.18 ^ 20 -

Bifenthrin I 739 3 0.4 0.10 ^ 0.060 ^ 100 50 Buprofezin I 739 0.24 ^ 10 - Carbaryl I 739 0.12 ^ 300 50

Carbofuran I 739 0.18 ^ 20 50 Chlorfenapyr I 739 0.090 ^ NT - Chlorpropham H 739 0.30 ^ 50 - Chlorpyrifos I 739 0.17 ^ 10 20 Chlorpyrifos methyl I 739 0.11 ^ 50 10 Chlorpyrifos methyl O-analog IM 739 1.5 ^ 50 - Coumaphos I 739 0.11 ^ 500 - Coumaphos oxygen analog IM 739 0.40 ^ 500 - Cyfluthrin I 739 11 1.5 1.0 ^ 0.60 ^ 1000 10 Cyhalothrin, Total (Cyhalothrin-L + R157836 epimer) I 739 128 17.3 0.25 - 2.3 0.15 ^ 200 -
Cypermethrin I 739 1 0.1 1.0 ^ 0.60 ^ 50 50 Cyproconazole F 739 0.21 ^ NT -
DDE p,p' IM 739 710 96.1 0.10 - 5.6 0.060 ^ 1250 20 DEF (Tribufos) H 739 0.12 ^ 2 - Deltamethrin - includes parent Tralomethrin I 739 0.15 ^ 50 50

Dichlorvos - DDVP I 739 0.070 ^ 20 20

Dieldrin I 739 307 41.5 0.20 - 0.59 0.12 ^ 300 6

Difenoconazole F 739 0.15 ^ 10 -

Dimethoate I 739 6 0.8 0.12 ^ 0.070 ^ 2 50 Diphenylamine - DPA F 739 728 98.5 0.10 - 2.4 0.060 ^ 10 0.4

Endosulfan I I 739 0.060 ^ 500 4 

## APPENDIX E. DISTRIBUTION OF RESIDUES BY PESTICIDE IN MILK

Appendix E. Page 1 of 3Pesticide Pest. Type Number of Samples Samples with Detections % of Samples w/

Detects Range of Values Detected, ppb Range of LODs, ppb EPA Tolerance Level, ppb* Codex MRL/EMRL, ppb*



### Endosulfan II IM 739 0.060 ^ 500 4

Endosulfan sulfate IM 739 134 18.1 0.20 - 0.89 0.12 ^ 500 4
Epoxiconazole F 739 0.21 ^ NT -

Esfenvalerate+Fenvalerate Total I 739 0.15 ^ 300 100

Etridiazole F 739 0.21 ^ 50 - Fenamiphos I 739 0.17 ^ 100 5 Fenamiphos sulfone IM 739 0.70 ^ 100 5 Fenamiphos sulfoxide IM 739 0.84 ^ 100 5

Fenarimol F 739 0.24 ^ NT - Fenoxaprop ethyl H 739 0.090 ^ 20 - Fenpropathrin I 739 0.36 ^ 80 100 Fipronil I 739 0.30 ^ 50 20

Fluridone H 739 0.30 ^ 50 - Fluroxypyr 1-methylheptyl ester H 739 0.24 ^ 300 -

Flutolanil F 739 0.12 ^ 50 50 Fluvalinate (V-3) I 739 3 0.4 0.75 - 2.4 0.45 ^ NT -

Hexachlorobenzene - HCB FM 739 0.21 ^ NT -

Hexaconazole F 739 0.15 ^ NT - Iprodione F 739 0.75 ^ 500 -

Malathion I 739 0.12 ^ 500 - Malathion oxygen analog IM 739 0.13 ^ NT - Metalaxyl F 739 0.15 ^ 20 - Methamidophos IM 739 0.060 ^ 100 10

Metolachlor H 739 0.27 ^ 20 -

Metribuzin H 739 0.60 ^ 50 -

MGK-264 I 739 0.51 ^ 300 - Myclobutanil F 739 0.24 ^ 200 10

Norflurazon H 739 0.45 ^ 100 -

Omethoate IM 739 0.12 ^ 2 - Oxydemeton methyl I 739 0.32 ^ 10 - Oxyfluorfen H 739 0.21 ^ 50 -

Pentachloroaniline - PCA FM 739 0.27 ^ NT -

Pentachlorobenzene - PCB FM 739 0.30 ^ NT - Pentachlorophenyl methyl ether FM 739 0.090 ^ NT - Pentachlorophenyl methyl sulfide FM 739 0.12 ^ NT -

Appendix E. Page 2 of 3Pesticide Pest. Type Number of Samples Samples with Detections % of Samples w/

Detects Range of Values Detected, ppb Range of LODs, ppb EPA Tolerance Level, ppb* Codex MRL/EMRL, ppb*



### Permethrin Total I 739 33 4.5 1.0 - 2.3 0.60 ^ 250 100

Profenofos I 739 0.17 ^ 10 10

Pronamide H 739 0.15 ^ 20 - Propachlor H 739 0.18 ^ 20 - Propanil H 739 0.18 ^ 50 - Propargite I 739 0.75 ^ 80 100 Propham H 739 0.75 ^ NT - Propiconazole F 739 0.36 ^ 50 10 Pyrazon H 739 0.15 ^ 10 -
Quintozene - PCNB F 739 0.24 ^ NT -

Simazine H 739 0.18 ^ 20 -

Tefluthrin I 739 0.27 ^ NT -
Tetrachlorvinphos I 739 0.16 ^ 500 -

Tetraconazole F 739 0.33 ^ 50.0 -

Tetradifon I 739 0.33 ^ 400 -

Tetramethrin I 739 0.75 ^ NT -

Thiabendazole F 739 0.75 ^ 400 200

Triadimefon F 739 0.27 ^ 40 50

Triadimenol F 739 0.21 ^ 10 10

Triflumizole F 739 0.18 ^ 50 -

Vinclozolin F 739 0.15 ^ 50 50



### NOTES * = EPA Tolerances and Codex MRLs have been multiplied by a factor of 1000 as a basis for comparison

using a single scale. There is no intention to imply any more exactness in the value than that originally expressed by EPA and Codex. ^ = Only one distinct detected concentration or LOD value was reported for the pair. NT = No tolerance level was set for that pesticide/commodity pair. (V) = Residue was found where no tolerance was established by EPA. Following "V" are the number of occurrences.

Pesticide Types: F = Fungicide, FM = Fungicide Metabolite
H = Herbicide I = Insecticide, IM = Insecticide Metabolite



## M

any of the listed tolerances and MRLs are the sum of a parent compound and metabolite(s)/isomer(s). The reader is advised to refer to EPA for the complete listing of compounds in tolerance expressions and to Codex for the complete listing of compounds in MRL expressions.

Appendix E. Page 3 of 3

# Appendix F

Distribution of Residues by Pesticide in Drinking Water

Appendix F shows residue detections for all drinking water compounds tested, including range of values detected and range ofLimits of Detection (LODs). The Environmental Protection Agency (EPA) Na tional Primary Drinking Water Regulation (NPDWR) Maximum Contaminant Levels (MCLs) fo r drinking water, Health Advisory (HA) values for drinking water, and Freshwater A quatic Organism (FAOs) Criteria for ambient water are also shown. Units for LODs, MCLs, HAs, and FAOs are shown in parts per trillion (ppt).
In 2004, PDP analyzed 762 drinking water sa mples. PDP detected 38 different pesticide residues in finished drinking water and 51 residues in the untreated intake water; most of the detections were herbicides. None of the finished drinking water samples exceeded EPA MCLs for any pesticide detected. In fact, the majority of pesticides included in the PDP screens were not detected.
The MCLs are legally enforceable standards that apply to public water systems. EPA’s regulations for MCLs may be referenc ed at http://www.epa.gov/safewater/mcl.html

. The HAs are an estimate of acceptable drinki ng water levels for a chemical substance based on health effects information. The values published are for lifetime HA, which is the concentration of a chemical in drinking water that is not expected to cause any adverse noncarcinogenic effects for a lifet ime of exposure. The HA values can be referenced at http://www.epa.gov/waterscienc e/criteria/drinking . FAO criteria are set by EPA and are the concentration of a chemical in water at or bel ow which aquatic life ar e protected from acute and chronic adverse effects ofthe chemical. The FAO values can be referenced at http://www.epa.gov/waterscience/criteria/wqcriteria.html . Health Advisories and FAO criteria are not legally enforceable F ederal standards, but serve as technical guidance to assist Federal, State, and local officials.
Because residue values are expressed in ppt, EPA MCL, HA, and FAO values have been multiplied by a factor of 1,000,000 as a basis for comparison using a single scale. There is no intention to imply any moreexactness in the value than thatoriginally expressed by EPA.Pesticide / Commodity Pest. Type Number of Samples Samples with Detects % of Samples

with Detects Range of Values Detected, ppt Range of LODs, ppt EPA MCL, ppt 1 EPA HA 2

, ppt 1 EPA FAO 3

, ppt 1



### 1,2,4-Triazole FM Water, Finished 141 220 - 730 Water, Untreated 136 220 - 730

2 4 5 T H Water, Finished 228 2 0.9 3.0 ^ 1.8 - 211 50,000 70,000 Water, Untreated 228 1 0.4 3.0 ^ 1.8 - 211
2,4 DB H Water, Finished 379 15 - 756 Water, Untreated 380 15 - 756
2,4-D H Water, Finished 379 134 35.4 6.0 - 401 3.6 - 264 70,000 70,000 Water, Untreated 380 126 33.2 6.0 - 493 3.6 - 264
3-Hydroxycarbofuran IM Water, Finished 238 24 - 68 Water, Untreated 238 24 - 68

Acetochlor H Water, Finished 376 11 2.9 52 - 357 9.2 - 49.5 Water, Untreated 376 25 6.6 15.3 - 543 9.2 - 49.5

Acetochlor ethanesulfonic acid HM Water, Finished 115 93 80.9 20 - 1032 12 ^ Water, Untreated 116 84 72.4 20 - 1243 12 ^

Acetochlor oxanilic acid HM Water, Finished 235 93 39.6 20 - 1211 12 - 100 Water, Untreated 236 86 36.4 20 - 1585 12 - 100

Acifluorfen H Water, Finished 120 79 - 119 Water, Untreated 119 79 - 119

Alachlor H Water, Finished 381 3 0.8 16.3 - 34 7.8 - 26 2000 Water, Untreated 381 3 0.8 16.3 - 43 7.8 - 26

Alachlor ethanesulfonic acid HM Water, Finished 235 92 39.1 20 - 182 12 - 823 Water, Untreated 236 85 36 20 - 232 12 - 823

Alachlor oxanilic acid HM Water, Finished 235 65 27.7 20 - 81 12 - 100 Water, Untreated 236 68 28.8 20 - 102 12 - 100

Aldrin I Water, Finished 262 5.0 - 32 Water, Untreated 262 5.0 - 32 3000 

## APPENDIX F. DISTRIBUTION OF RESIDUES BY PESTICIDE IN DRINKING WATER

Appendix F. Page 1 of 17Pesticide / Commodity Pest. Type Number of Samples Samples with Detects % of Samples

with Detects Range of Values Detected, ppt Range of LODs, ppt EPA MCL, ppt 1 EPA HA 2

, ppt 1 EPA FAO 3

, ppt 1



### Atrazine H Water, Finished 380 191 50.3 1.1 - 2773 0.66 - 5.0 3000 Water, Untreated 381 204 53.5 1.1 - 4225 0.66 - 5.0
Azinphos methyl I Water, Finished 239 12 - 253 Water, Untreated 239 12 - 253

Barban H Water, Finished 120 5.0 ^ Water, Untreated 120 5.0 ^

Bendiocarb I Water, Finished 99 18.8 ^ Water, Untreated 99 18.8 ^

Benfluralin H Water, Finished 224 2.0 - 9.8 Water, Untreated 224 2.0 - 9.8
Bensulfuron methyl H Water, Finished 379 1 0.3 2.0 ^ 1.2 - 53 Water, Untreated 380 1.2 - 53

Bentazon H Water, Finished 375 151 40.3 0.30 - 16 0.18 - 209 200,000 Water, Untreated 376 153 40.7 0.30 - 130 0.18 - 209
BHC alpha I Water, Finished 120 2.0 ^ Water, Untreated 120 2.0 ^

Bifenthrin I Water, Finished 262 3.2 - 11 Water, Untreated 262 3.2 - 11

Bromacil H Water, Finished 259 5.3 - 18 90,000 Water, Untreated 261 12 4.6 8.8 - 34 5.3 - 18
Bromoxynil H Water, Finished 155 20 - 56 Water, Untreated 154 20 - 56

Bromuconazole 46 FM Water, Finished 141 1.4 - 4.6 Water, Untreated 142 1.4 - 4.6

Bromuconazole 47 FM Water, Finished 141 1.9 - 6.2 Water, Untreated 142 1.9 - 6.2

Butachlor H Water, Finished 261 1.9 - 6.2 Water, Untreated 261 1.9 - 6.2

Appendix F. Page 2 of 17Pesticide / Commodity Pest. Type Number of Samples Samples with Detects % of Samples

with Detects Range of Values Detected, ppt Range of LODs, ppt EPA MCL, ppt 1 EPA HA 2

, ppt 1 EPA FAO 3

, ppt 1


### Butylate H Water, Finished 262 1.8 - 10 400,000 Water, Untreated 262 1.8 - 10
Carbaryl I Water, Finished 259 4.7 - 15 700,000 Water, Untreated 261 1 0.4 19 ^ 4.7 - 15

Carbendazim - MBC F Water, Finished 108 1.8 ^ Water, Untreated 109 1.8 ^

Carbofuran I Water, Finished 379 0.60 - 17 40,000 40,000 Water, Untreated 380 0.60 - 17
Carbophenothion I Water, Finished 239 5.3 - 32 Water, Untreated 239 5.3 - 32

Chloramben H Water, Finished 113 60 ^ 100,000 Water, Untreated 114 60 ^

Chlordane cis I Water, Finished 229 2.3 - 5.0 2000 4 

### Water, Untreated 229 2.3 - 5.0 2400

Chlordane trans I Water, Finished 229 2.3 - 5.0 2000 4 

### Water, Untreated 229 2.3 - 5.0 2400
Chlorfenvinphos beta I Water, Finished 15 4.1 ^ Water, Untreated 15 4.1 ^
Chlorfenvinphos total I Water, Finished 342 7.5 - 32 Water, Untreated 342 7.5 - 32
Chlorimuron ethyl H Water, Finished 261 7 2.7 9.3 - 32 3.3 - 65 Water, Untreated 261 22 8.4 9.3 - 59 3.3 - 65

Chlorothalonil F Water, Finished 120 50 ^ Water, Untreated 120 50 ^
Chlorpyrifos I Water, Finished 239 6.0 - 27 20,000 Water, Untreated 239 6.0 - 27 83
Chlorpyrifos methyl I Water, Finished 239 11.3 - 22 Water, Untreated 239 11.3 - 22

Appendix F. Page 3 of 17Pesticide / Commodity Pest. Type Number of Samples Samples with Detects % of Samples

with Detects Range of Values Detected, ppt Range of LODs, ppt EPA MCL, ppt 1 EPA HA 2

, ppt 1 EPA FAO 3

, ppt 1


### Chlorpyrifos oxygen analog IM Water, Finished 120 59 ^ Water, Untreated 120 59 ^
Clopyralid H Water, Finished 339 2 0.6 280 - 393 10.8 - 236 Water, Untreated 340 1 0.3 360 ^ 10.8 - 236
Coumaphos I Water, Finished 239 3.8 - 121 Water, Untreated 239 3.8 - 121
Coumaphos oxygen analog IM Water, Finished 120 1400 ^ Water, Untreated 120 1400 ^
Cyanazine H Water, Finished 380 1.7 - 25 1000 Water, Untreated 381 6 1.6 2.8 - 9.3 1.7 - 25
Cycloate H Water, Finished 241 3.3 - 11 Water, Untreated 242 3.3 - 11
Cyfluthrin I Water, Finished 142 40 - 133 Water, Untreated 142 40 - 133
Cyhalothrin, Lambda I Water, Finished 142 21 - 70 Water, Untreated 142 21 - 70
Cypermethrin I Water, Finished 262 74 - 246 Water, Untreated 262 74 - 246
Cyproconazole F Water, Finished 141 0.65 - 2.2 Water, Untreated 142 0.65 - 2.2

DCPA H Water, Finished 234 0.80 - 2.5 70,000 Water, Untreated 234 0.75 - 2.5

DCPA monoacid H Water, Finished 103 740 ^ Water, Untreated 104 740 ^
DDD o,p' IM Water, Finished 119 3.8 ^ Water, Untreated 119 3.8 ^
DDD p,p' IM Water, Finished 119 3.8 ^ Water, Untreated 119 3.8 ^

Appendix F. Page 4 of 17Pesticide / Commodity Pest. Type Number of Samples Samples with Detects % of Samples

with Detects Range of Values Detected, ppt Range of LODs, ppt EPA MCL, ppt 1 EPA HA 2

, ppt 1 EPA FAO 3

, ppt 1


### DDE o,p' IM Water, Finished 120 4.0 ^ Water, Untreated 120 4.0 ^
DDE p,p' IM Water, Finished 229 2.5 - 7.5 Water, Untreated 229 2.5 - 7.5
DDT o,p' IM Water, Finished 119 3.8 ^ Water, Untreated 119 3.8 ^
DDT p,p' IM Water, Finished 119 3.8 ^ Water, Untreated 119 3.8 ^

DEF - Tribufos H Water, Finished 239 3.8 - 18 Water, Untreated 239 3.8 - 18 Deltamethrin (includes parent Tralomethrin) I Water, Finished 142 84 - 281 Water, Untreated 142 84 - 281
Desethyl Atrazine HM Water, Finished 380 178 46.8 0.72 - 473 0.43 - 25 Water, Untreated 381 201 52.8 0.72 - 850 0.43 - 25
Desisopropyl atrazine HM Water, Finished 380 127 33.4 2.7 - 274 1.6 - 50 Water, Untreated 381 155 40.7 2.7 - 420 1.6 - 50

Diazinon I Water, Finished 239 7.5 - 14 600 Water, Untreated 239 7.5 - 14
Diazinon oxygen analog IM Water, Finished 239 9.0 - 70 Water, Untreated 239 9.0 - 70

Dicamba H Water, Finished 120 266 - 1350 200,000 Water, Untreated 119 266 - 1350

Dichlobenil H Water, Finished 239 6.7 - 150 Water, Untreated 239 6.7 - 150
Dichlorprop H Water, Finished 118 1 0.8 3.0 ^ 1.8 - 6.0 Water, Untreated 119 1.8 - 6.0

Dichlorvos - DDVP I Water, Finished 234 12 - 22.5 Water, Untreated 234 12 - 22.5

Appendix F. Page 5 of 17Pesticide / Commodity Pest. Type Number of Samples Samples with Detects % of Samples

with Detects Range of Values Detected, ppt Range of LODs, ppt EPA MCL, ppt 1 EPA HA 2

, ppt 1 EPA FAO 3

, ppt 1



### Dicloran F Water, Finished 114 7.5 ^ Water, Untreated 114 7.5 ^
Dicofol p,p' I Water, Finished 239 5.0 - 11.3 Water, Untreated 239 5.0 - 11.3
Dicrotophos I Water, Finished 120 180 ^ Water, Untreated 120 180 ^

Dieldrin I Water, Finished 239 5.0 - 15 Water, Untreated 239 5.0 - 15 240

Difenoconazole F Water, Finished 141 2.5 - 8.2 Water, Untreated 142 2.5 - 8.2

Dimethenamid H Water, Finished 238 28 11.8 1.0 - 18 0.60 - 5.0 Water, Untreated 239 36 15.1 1.0 - 213 0.60 - 5.0

Dimethenamid/Dimethenamid P H Water, Finished 261 2.5 - 8.3 Water, Untreated 262 16 6.1 4.2 - 55 2.5 - 8.3

Dimethoate I Water, Finished 239 5.3 - 63 Water, Untreated 239 1 0.4 8.8 ^ 5.3 - 63

Dinoseb H Water, Finished 115 9 7.8 1.0 ^ 0.60 - 320 7000 7000 Water, Untreated 115 1 0.9 1.0 ^ 0.60 - 320
Diphenamid H Water, Finished 119 24 ^ 200,000 Water, Untreated 119 24 ^

Disulfoton I Water, Finished 381 6.0 - 150 300 Water, Untreated 381 6.0 - 150

Disulfoton sulfone IM Water, Finished 260 3.8 - 29 Water, Untreated 261 1 0.4 6.3 ^ 3.8 - 29

Diuron H Water, Finished 258 16 - 54 10,000 Water, Untreated 260 7 2.7 27 - 90 16 - 54

Endosulfan I I Water, Finished 200 5.0 - 22.5 Water, Untreated 200 5.0 - 22.5 220

Appendix F. Page 6 of 17Pesticide / Commodity Pest. Type Number of Samples Samples with Detects % of Samples

with Detects Range of Values Detected, ppt Range of LODs, ppt EPA MCL, ppt 1 EPA HA 2

, ppt 1 EPA FAO 3

, ppt 1



### Endosulfan II IM Water, Finished 239 12 - 18.8 Water, Untreated 239 12 - 18.8 220

Endosulfan sulfate IM Water, Finished 114 30 ^ Water, Untreated 114 30 ^

Endrin I Water, Finished 239 22 - 52.5 2000 2000 Water, Untreated 239 22 - 52.5 86
Epoxiconazole F Water, Finished 141 1.3 - 4.3 Water, Untreated 142 1.3 - 4.3

EPTC H Water, Finished 356 3 0.8 17 - 68 2.5 - 117.8 Water, Untreated 356 5 1.4 28 - 130 2.5 - 117.8

Esfenvalerate I Water, Finished 120 50 ^ Water, Untreated 120 50 ^

Esfenvalerate+Fenvalerate Total I Water, Finished 142 19 - 62 Water, Untreated 142 19 - 62

Ethalfluralin H Water, Finished 229 50 - 60 Water, Untreated 229 50 - 60

Ethion I Water, Finished 381 2.3 - 85 Water, Untreated 381 2.3 - 85

Ethion di oxon IM Water, Finished 120 5.3 ^ Water, Untreated 120 5.3 ^

Ethion mono oxon IM Water, Finished 239 3.8 - 30 Water, Untreated 239 3.8 - 30
Ethoprop I Water, Finished 381 5.3 - 17 Water, Untreated 381 5.3 - 17
Fenamiphos I Water, Finished 234 7.5 - 172 2000 Water, Untreated 234 7.5 - 172
Fenamiphos sulfone IM Water, Finished 120 384 ^ Water, Untreated 120 384 ^

Appendix F. Page 7 of 17Pesticide / Commodity Pest. Type Number of Samples Samples with Detects % of Samples

with Detects Range of Values Detected, ppt Range of LODs, ppt EPA MCL, ppt 1 EPA HA 2

, ppt 1 EPA FAO 3

, ppt 1



### Fenarimol F Water, Finished 119 37.5 ^ Water, Untreated 119 37.5 ^

Fenbuconazole F Water, Finished 141 0.78 - 2.6 Water, Untreated 142 0.78 - 2.6

Fenitrothion I Water, Finished 381 6.0 - 42 Water, Untreated 381 6.0 - 42
Fenitrothion oxygen analog IM Water, Finished 120 83 ^ Water, Untreated 120 83 ^
Fenpropathrin I Water, Finished 251 14 - 60 Water, Untreated 251 14 - 60

Fenthion I Water, Finished 381 6.0 - 79 Water, Untreated 381 6.0 - 79
Fenthion-O analog IM Water, Finished 239 7.5 - 175 Water, Untreated 239 7.5 - 175

Fenuron H Water, Finished 238 2.6 - 27 Water, Untreated 238 2.6 - 27

Fludioxonil F Water, Finished 114 37.5 ^ Water, Untreated 114 37.5 ^

Flumetsulam H Water, Finished 233 6.0 - 196 Water, Untreated 233 1 0.4 24 ^ 6.0 - 196

Fluometuron H Water, Finished 238 1 0.4 2.0 ^ 1.2 - 10.5 90,000 Water, Untreated 239 1 0.4 2.0 ^ 1.2 - 10.5

Fluvalinate I Water, Finished 142 79 - 264 Water, Untreated 142 79 - 264

Fonofos I Water, Finished I 239 7.5 - 30 10,000 Water, Untreated I 239 7.5 - 30
Halosulfuron methyl H Water, Finished 141 3.3 - 11 Water, Untreated 142 3.3 - 11

Appendix F. Page 8 of 17Pesticide / Commodity Pest. Type Number of Samples Samples with Detects % of Samples

with Detects Range of Values Detected, ppt Range of LODs, ppt EPA MCL, ppt 1 EPA HA 2

, ppt 1 EPA FAO 3

, ppt 1


### Heptachlor I Water, Finished 120 5.0 ^ 400 Water, Untreated 120 5.0 ^ 520
Heptachlor epoxide IM Water, Finished 200 5.0 - 15 200 Water, Untreated 200 5.0 - 15 520

Hexachlorobenzene - HCB FM Water, Finished 120 10 ^ 1000 Water, Untreated 120 10 ^

Hexaconazole F Water, Finished 141 4.0 - 13 Water, Untreated 142 4.0 - 13
Hydroxy Atrazine HM Water, Finished 141 93 66 4.1 - 120 1.2 - 4.0 Water, Untreated 142 96 67.6 2.0 - 480 1.2 - 4.0

Imazamethabenz acid H Water, Finished 141 0.60 - 2.0 Water, Untreated 142 0.60 - 2.0
Imazamethabenz methyl H Water, Finished 379 0.15 - 4.2 Water, Untreated 380 1 0.3 0.80 ^ 0.15 - 4.2

Imazamox H Water, Finished 259 2.4 - 10 Water, Untreated 261 2 0.8 4.0 - 17 2.4 - 10
Imazapic H Water, Finished 259 10 3.9 4.6 - 5.0 0.90 - 3.0 Water, Untreated 261 12 4.6 1.5 - 5.0 0.90 - 3.0
Imazapyr H Water, Finished 259 117 45.2 1.5 - 120 0.90 - 3.5 Water, Untreated 261 107 41 1.5 - 140 0.90 - 3.5
Imazaquin H Water, Finished 379 15 4 4.0 - 29 2.4 - 10 Water, Untreated 380 17 4.5 4.0 - 22 2.4 - 10
Imazethapyr H Water, Finished 379 76 20.1 4.0 - 52 2.4 - 11 Water, Untreated 380 73 19.2 4.0 - 137 2.4 - 11
Imidacloprid I Water, Finished 238 6 2.5 2.5 ^ 1.5 - 42 Water, Untreated 238 4 1.7 2.5 ^ 1.5 - 42
Iprodione F Water, Finished 64 30 ^ Water, Untreated 64 30 ^

Appendix F. Page 9 of 17Pesticide / Commodity Pest. Type Number of Samples Samples with Detects % of Samples

with Detects Range of Values Detected, ppt Range of LODs, ppt EPA MCL, ppt 1 EPA HA 2

, ppt 1 EPA FAO 3

, ppt 1


### Isofenphos I Water, Finished 239 4.5 - 18 Water, Untreated 239 4.5 - 18
Isofenphos oxygen analog IM Water, Finished 120 36 ^ Water, Untreated 120 36 ^
Lindane - BHC gamma I Water, Finished 376 10 - 66 200 200 Water, Untreated 376 10 - 66 950

Linuron H Water, Finished 336 2.5 - 189 Water, Untreated 336 2.5 - 189

Malathion I Water, Finished 381 6.0 - 35 100,000 Water, Untreated 381 6.0 - 35
Malathion oxygen analog IM Water, Finished 119 6.0 - 40 Water, Untreated 119 6.0 - 40

MCPA H Water, Finished 379 7.2 - 346 4000 Water, Untreated 380 7.2 - 346

MCPB H Water, Finished 379 5.0 - 228 Water, Untreated 380 5.0 - 228
Mecoprop - MCPP H Water, Finished 120 52 - 78 Water, Untreated 119 52 - 78
Metalaxyl F Water, Finished 375 22.5 - 120 Water, Untreated 376 22.5 - 120

Methidathion I Water, Finished 239 5.3 - 28 Water, Untreated 239 5.3 - 28
Methidathion oxygen analog IM Water, Finished 239 22.5 - 428 Water, Untreated 239 22.5 - 428

Methiocarb I Water, Finished 238 15 - 144 Water, Untreated 238 15 - 144
Methomyl I Water, Finished 113 6.0 ^ 200,000 Water, Untreated 114 6.0 ^

Appendix F. Page 10 of 17Pesticide / Commodity Pest. Type Number of Samples Samples with Detects % of Samples

with Detects Range of Values Detected, ppt Range of LODs, ppt EPA MCL, ppt 1 EPA HA 2

, ppt 1 EPA FAO 3

, ppt 1


### Methoxychlor olefin IM Water, Finished 119 3.8 ^ Water, Untreated 119 3.8 ^
Methoxychlor Total I Water, Finished 239 7.5 - 40 40,000 40,000 Water, Untreated 239 7.5 - 40

Metolachlor H Water, Finished 381 153 40.2 2.5 - 661 1.5 - 5.0 100,000 Water, Untreated 381 179 47 2.5 - 729 1.5 - 5.0

Metolachlor ethanesulfonic acid HM Water, Finished 235 114 48.5 20 - 971 12 - 150 Water, Untreated 236 93 39.4 20 - 1058 12 - 150

Metolachlor oxanilic acid HM Water, Finished 235 103 43.8 20 - 459 12 - 100 Water, Untreated 236 99 41.9 20 - 528 12 - 100

Metribuzin H Water, Finished 363 2 0.6 10.7 - 75 6.4 - 45 200,000 Water, Untreated 364 12 3.3 10.7 - 120 6.4 - 45
Metsulfuron methyl H Water, Finished 240 3.0 - 10 Water, Untreated 242 3.0 - 10
Mevinphos E I Water, Finished 39 3.4 ^ Water, Untreated 39 3.4 ^
Mevinphos Total I Water, Finished 200 6.0 - 42 Water, Untreated 200 6.0 - 42

Molinate H Water, Finished 239 9.8 - 12 Water, Untreated 239 9.8 - 12

Monuron H Water, Finished 238 6.0 - 54 Water, Untreated 238 6.0 - 54
Myclobutanil F Water, Finished 380 1.3 - 11.3 Water, Untreated 381 1.3 - 11.3
Napropamide H Water, Finished 239 24 - 25 Water, Untreated 239 24 - 25

Neburon H Water, Finished 379 4.0 - 75 Water, Untreated 380 4.0 - 75

Appendix F. Page 11 of 17Pesticide / Commodity Pest. Type Number of Samples Samples with Detects % of Samples

with Detects Range of Values Detected, ppt Range of LODs, ppt EPA MCL, ppt 1 EPA HA 2

, ppt 1 EPA FAO 3

, ppt 1



### Nicosulfuron H Water, Finished 259 16 6.2 2.8 - 40 1.7 - 16 Water, Untreated 261 44 16.9 2.8 - 64 1.7 - 16

Norflurazon H Water, Finished 234 18.8 - 31 Water, Untreated 233 18.8 - 31
Norflurazon desmethyl HM Water, Finished 234 37.5 - 72 Water, Untreated 233 37.5 - 72
Oryzalin H Water, Finished 35 57 ^ Water, Untreated 35 57 ^

Oxadiazon H Water, Finished 239 15 ^ Water, Untreated 239 15 ^
Oxadixyl F Water, Finished 114 48.8 ^ Water, Untreated 114 48.8 ^
Oxamyl I Water, Finished 113 6.0 ^ 200,000 30,000 Water, Untreated 114 6.0 ^
Oxychlordane IM Water, Finished 234 4.0 - 7.5 Water, Untreated 234 4.0 - 7.5
Oxydemeton methyl I Water, Finished 120 580 ^ Water, Untreated 120 580 ^
Oxyfluorfen H Water, Finished 239 11.3 - 25 Water, Untreated 239 11.3 - 25
Parathion ethyl I Water, Finished 261 7.5 - 49 Water, Untreated 261 7.5 - 49 65
Parathion methyl I Water, Finished 261 4.5 - 178 Water, Untreated 261 4.5 - 178 65
Parathion methyl oxygen analog IM Water, Finished 234 9.8 - 130 Water, Untreated 234 9.8 - 130
Parathion oxygen analog IM Water, Finished 239 7.5 - 63 Water, Untreated 239 7.5 - 63

Appendix F. Page 12 of 17Pesticide / Commodity Pest. Type Number of Samples Samples with Detects % of Samples

with Detects Range of Values Detected, ppt Range of LODs, ppt EPA MCL, ppt 1 EPA HA 2

, ppt 1 EPA FAO 3

, ppt 1



### Pebulate H Water, Finished 234 2.3 - 25 Water, Untreated 234 2.3 - 25

Pendimethalin H Water, Finished 239 4.5 - 5.0 Water, Untreated 239 4.5 - 5.0

Permethrin cis I Water, Finished 262 4.5 - 15 Water, Untreated 262 4.5 - 15

Permethrin trans I Water, Finished 142 7.5 - 25 Water, Untreated 142 7.5 - 25

Phenthoate I Water, Finished 104 15 ^ Water, Untreated 104 15 ^

Phorate I Water, Finished 239 11.3 - 121 Water, Untreated 239 11.2 - 121
Phorate oxygen analog IM Water, Finished 239 5.3 - 275 Water, Untreated 239 5.3 - 275

Phorate sulfone IM Water, Finished 239 6.0 - 36 Water, Untreated 239 6.0 - 36

Phorate sulfoxide IM Water, Finished 239 37.5 - 260 Water, Untreated 239 37.5 - 260

Phosalone I Water, Finished 239 4.5 - 33 Water, Untreated 239 4.5 - 33
Phosalone oxygen analog IM Water, Finished 120 303 ^ Water, Untreated 120 303 ^

Phosmet I Water, Finished 120 255 ^ Water, Untreated 120 255 ^
Phosphamidon I Water, Finished 239 12 - 197 Water, Untreated 239 12 - 197

Picloram H Water, Finished 379 73 - 4407 500,000 500,000 Water, Untreated 380 73 - 4407

Appendix F. Page 13 of 17Pesticide / Commodity Pest. Type Number of Samples Samples with Detects % of Samples

with Detects Range of Values Detected, ppt Range of LODs, ppt EPA MCL, ppt 1 EPA HA 2

, ppt 1 EPA FAO 3

, ppt 1


### Piperonyl butoxide I Water, Finished 119 18.8 ^ Water, Untreated 119 18.8 ^

Pirimicarb I Water, Finished 119 37.5 ^ Water, Untreated 119 37.5 ^
Pirimiphos methyl I Water, Finished 239 5.3 - 30 Water, Untreated 239 5.3 - 30

Prallethrin I Water, Finished 142 18 - 61 Water, Untreated 142 18 - 61

Profenofos I Water, Finished 239 3.8 - 6.1 Water, Untreated 239 3.8 - 6.1

Prometon H Water, Finished 380 196 51.6 0.28 - 92 0.17 - 50 100,000 Water, Untreated 381 204 53.5 0.28 - 110 0.17 - 50
Prometryn H Water, Finished 376 0.17 - 24 Water, Untreated 377 42 11.1 0.28 - 60 0.17 - 24

Pronamide H Water, Finished 119 22.5 ^ 50,000 Water, Untreated 119 22.5 ^
Propachlor H Water, Finished 380 0.64 - 16 90,000 Water, Untreated 381 1 0.3 4.9 ^ 0.64 - 16
Propanil H Water, Finished 375 2.9 - 25 Water, Untreated 376 2.9 - 25
Propargite I Water, Finished 239 90 - 180 Water, Untreated 239 90 - 180
Propetamphos I Water, Finished 239 6.0 - 16 Water, Untreated 239 6.0 - 16
Propham H Water, Finished 118 18 ^ 100,000 Water, Untreated 119 18 ^
Propiconazole F Water, Finished 380 1.4 - 55 Water, Untreated 380 1 0.3 7.8 ^ 1.4 - 55

Appendix F. Page 14 of 17Pesticide / Commodity Pest. Type Number of Samples Samples with Detects % of Samples

with Detects Range of Values Detected, ppt Range of LODs, ppt EPA MCL, ppt 1 EPA HA 2

, ppt 1 EPA FAO 3

, ppt 1


### Propoxur I Water, Finished 119 24.8 ^ Water, Untreated 119 24.8 ^

Quintozene - PCNB F Water, Finished 99 11.3 ^ Water, Untreated 99 11.3 ^

Resmethrin I Water, Finished 142 7.8 - 26 Water, Untreated 142 7.8 - 26
S-(2-hydroxy)propyl EPTC HM Water, Finished 120 125 ^ Water, Untreated 120 125 ^

Siduron H Water, Finished 259 1 0.4 11.5 ^ 2.1 - 6.9 Water, Untreated 261 3 1.1 7.7 - 11.5 2.1 - 6.9

Simazine H Water, Finished 380 156 41.1 1.2 - 120 0.71 - 15 4000 4,000 Water, Untreated 381 180 47.2 1.2 - 520 0.71 - 15
Sulfometuron methyl H Water, Finished 261 1.1 - 15 Water, Untreated 261 4 1.5 10.5 ^ 1.1 - 15
Sulfotep I Water, Finished 239 4.5 - 8.1 Water, Untreated 239 4.5 - 8.1
Sulprofos I Water, Finished 239 6.0 - 46 Water, Untreated 239 6.0 - 46
Sulprofos oxygen analog IM Water, Finished 120 98 ^ Water, Untreated 120 98 ^

Tebuconazole F Water, Finished 380 2 0.5 9.7 ^ 1.7 - 299 Water, Untreated 380 1 0.3 9.7 ^ 1.7 - 299
Tebupirimfos I Water, Finished 239 7.5 - 20 Water, Untreated 239 7.5 - 20
Tebupirimfos oxygen analog IM Water, Finished 239 9.0 - 32 Water, Untreated 239 9.0 - 32

Tebuthiuron H Water, Finished 379 125 33 0.75 - 3.8 0.45 - 10 500,000 Water, Untreated 380 152 40 0.75 - 11 0.45 - 10

Appendix F. Page 15 of 17Pesticide / Commodity Pest. Type Number of Samples Samples with Detects % of Samples

with Detects Range of Values Detected, ppt Range of LODs, ppt EPA MCL, ppt 1 EPA HA 2

, ppt 1 EPA FAO 3

, ppt 1



### Tecnazene P Water, Finished 104 18.8 ^ Water, Untreated 104 18.8 ^

Tefluthrin I Water, Finished 262 2.1 - 6.8 Water, Untreated 262 2.1 - 6.8

Terbacil H Water, Finished 119 22.5 ^ 90,000 Water, Untreated 119 22.5 ^

Terbufos I Water, Finished 262 6.3 - 100 900 Water, Untreated 262 6.3 - 100

Terbufos sulfone IM Water, Finished 239 4.5 - 18 Water, Untreated 239 4.5 - 18
Terbufos-O analog IM Water, Finished 239 6.0 - 93 Water, Untreated 239 6.0 - 93
Tetrachlorvinphos I Water, Finished 239 6.0 - 26 Water, Untreated 239 6.0 - 26

Tetraconazole F Water, Finished 141 0.63 - 2.1 Water, Untreated 142 0.63 - 2.1

Tetradifon I Water, Finished 34 37.5 - 250 Water, Untreated 34 37.5 - 250

Tetramethrin I Water, Finished 142 28 - 94 Water, Untreated 142 28 - 94

Thifensulfuron H Water, Finished 141 1.7 - 5.5 Water, Untreated 142 1.7 - 5.5

Thiobencarb H Water, Finished 260 1.6 - 24.8 Water, Untreated 261 1.6 - 24.8
Tolclofos methyl F Water, Finished 120 5.0 ^ Water, Untreated 120 5.0 ^

Tralomethrin I Water, Finished 120 300 ^ Water, Untreated 120 300 ^

Appendix F. Page 16 of 17Pesticide / Commodity Pest. Type Number of Samples Samples with Detects % of Samples

with Detects Range of Values Detected, ppt Range of LODs, ppt EPA MCL, ppt 1 EPA HA 2

, ppt 1 EPA FAO 3

, ppt 1



### Tri Allate H Water, Finished 261 12 - 40 Water, Untreated 261 12 - 40

Triadimefon F Water, Finished 380 1.0 - 22.5 Water, Untreated 381 4 1 4.0 - 6.9 1.0 - 22.5

Triadimenol F Water, Finished 141 39 - 130 Water, Untreated 142 39 - 130

Triasulfuron H Water, Finished 141 1.6 - 5.3 Water, Untreated 142 1.6 - 5.3

Triazole acetic acid - TAA FM Water, Finished 141 3 2.1 50 ^ 30 - 100 Water, Untreated 142 3 2.1 50 - 166 30 - 100

Triazole alanine - TA FM Water, Finished 141 13 - 44 Water, Untreated 104 13 - 44
Triclopyr H Water, Finished 238 35 14.7 10 - 84 6.0 - 124 Water, Untreated 238 36 15.1 10 - 68 6.0 - 124

Trifluralin H Water, Finished 229 1.5 - 3.3 5000 Water, Untreated 229 1.5 - 3.3

Triticonazole F Water, Finished 141 7.7 - 26 Water, Untreated 142 7.7 - 26

Vinclozolin F Water, Finished 239 5.0 - 6.0 Water, Untreated 239 5.0 - 6.0

NOTES

1 = EPA MCL, HA, and FAO values have been multiplied by a factor of 1,000,000 as a basis for comparison using a single scale. There is no intention to imply any more exactness in the value than that originally expressed by EPA.

2 = EPA Health Advisory values shown are for lifetime exposure.

3= The FAO value applies to ambient water rather than drinking water.

4= The MCL for chlordane is inclusive of the isomers.

^ = Only one distinct detected concentration or LOD value was reported for the pair.

Pesticide Types: F = Fungicide, FM = Fungicide Metabolite H = Herbicide, HM = Herbicide Metabolite I = Insecticide, IM = Insecticide Metabolite P = Plant Growth Regulator

Appendix F. Page 17 of 17

# Appendix G

Sample Origin by State or Country (Determined by Grower, Packer, or Distributor)

Appendix G gives the number of fruit and v egetables, grain, and milk samples per State or country of origin and the number of samples of unknown origin. Where available, origin of fresh commodities is taken from t he grower or packer information. For processed commodities, origin is determined pr imarily by packer or distributor.
As shown in Appendix G, samples originated from 39 States plus Washington, DC, and 23 foreign countries. There were 382 domestic and 77 imported samples from unknown origins.
Drinking water and soybean samples are ex cluded from Appendix G. Origins for drinking water and soybean samples are described in Section II – Sampling Operations.

### Part 1. Domestic Samples
Gra. Dai. No. of % of
States = 39 AP CF CN CU GB GR LT OG PE PP ST SW TO WS CC GC OJ SC WF MK Domestic Total

Alabama 2 2 <0.1

Arizona 21 2 1 3 5 5 9 1 1 48 0.4

Arkansas 3 15 9 60 4 10 101 0.9

California 37 168 218 52 128 342 651 562 132 138 599 240 126 113 353 59 21 154 69 155 4317 36.5

Colorado 1 1 2 9 1 5 1 2 25 10 1 15 73 0.6

Connecticut 1 23 <0.1

Florida 72 48 72 12 6 61 2 126 57 10 187 6 29 5 81 15 18 59 866 7.3 Georgia 30 36 1 19 2 8 10 4 2 112 0.9

Idaho 3 1 41 11 9 27 36 42 170 1.4

Illinois 1 21 3 1 11 10 18 65 0.5

Indiana 2 2 <0.1

Kansas 10 10 0.1 Kentucky 3 1 2 2 2 1 2 12 25 0.2

Louisiana 1 147 148 1.3

Maine 1 4 1 2 2 10 0.1 Maryland 6 4 16 10 1 1 1 2 11 3 28 3 3 8 15 16 128 1.1

Massachusetts 1 1 1 2 1 2 14 22 0.2 Michigan 20 1 21 22 1 1 1 6 5 13 41 38 9 5 12 40 61 297 2.5

Minnesota 5 1 1 9 3 1 2 16 13 2 3 351 20 427 3.6
Mississippi 56 56 0.5

Missouri 1 12 4 <0.1

Montana 1 1 <0.1

Nebraska 17 17 0.1 New Jersey 1 9 5 1 7 15 5 9 15 5 5 11 88 0.7

New Mexico 1 1 <0.1

New York 42 2 1 17 26 2 4 2 3 11 2 5 2 22 9 10 1 11 5 62 239 2.0

North Carolina 1 3 8 6 1 7 121 9 5 1 162 1.4

Ohio 2 1 39 13 27 2 3 1 9 8 6 15 35 8 16 12 48 87 332 2.8

Oklahoma 3 1 1 5 1 11 0.1 Oregon 4 2 121 2 2 10 8 9 18 11 187 1.6 Pennsylvania 8 2 2 5 1 4 2 2 1 3 22 52 0.4

South Carolina 7 3 10 0.1

Tennessee 3 7 8 16 4 38 0.3

Texas 30 3 25 20 18 10 23 41 24 22 15 61 34 2 69 20 15 9 34 71 546 4.6

Vermont 1 1 <0.1 Virginia 2 19 1 8 8 3 4 45 0.4 Washington 500 9 11 10 1 318 3 3 11 5 2 2 3 2 27 907 7.7 Washington D.C. 5 5 <0.1 West Virginia 1 1 <0.1

Wisconsin 3 3 1 4 1 1 3 4 2 1 3 3 2 5 4 3 5 4 19 71 0.6

Unknown State 14 7 8 44 75 16 13 8 20 24 12 59 23 37 8 2 2 2 8 382 3.2
No. of Domestics 682 181 394 286 481 390 735 695 638 392 688 732 500 306 720 177 167 366 713 739 9,982

% of Total 92 98 53 51 88 53 99 94 86 70 94 99 67 84 97 96 90 99 98 100 84.4 Fresh F&V 

## APPENDIX G. SAMPLE ORIGIN BY STATE OR COUNTRY 1

Processed F&V 

## (Determined by Grower, Packer, or Distributor)

Appendix G. Page 1 of 2

### Part 2. Imported Samples

Gra. Dai. No. of % of Countries = 22 AP CF CN CU GB GR LT OG PE PP ST SW TO WS CC GC OJ SC WF MK Imports Total
Argentina 44 2 46 0.4

Australia 16 16 0.1 Belgium 1 1 <0.1

Brazil 1 2 2 5 <0.1

Canada 10 3 19 1 4 20 35 7 8 4 111 0.9

Chile 18 287 38 343 2.9

China 2 2 <0.1

Colombia 2 2 <0.1

Costa Rica 83 83 0.7 Dominican Republic 11 11 0.1

Guatemala 157 2 1 160 1.4

Honduras 82 33 8 123 1.0

Israel 3 3 <0.1 Italy 1 1 <0.1

Jamaica 1 1 <0.1
Japan 1 1 <0.1

Mexico 1 7 201 38 51 1 2 73 39 174 37 1 1 1 2 629 5.3

Netherlands 2 2 <0.1

New Zealand 24 8 4 36 0.3 Nicaragua 3 3 <0.1

Peru 2 2 <0.1
South Africa 2 28 3 7 40 0.3 Unknown Country 7 1 2 2 2 3 1 56 1 1 1 77 0.6 No. of Imports 59 4 344 257 42 346 8 46 95 154 43 5 211 52 12 84260 1698

% of Total 8 2 46 46 8 47 1 6 13 28 6 1 28 14 242110 14.4



### Part 3. Mixed National Origin Samples

Gra. Dai. No. of % of CC GC OJ SC WF MK Mixed Orig Total

Belize / Brazil 1 1 <0.1

Brazil / Costa Rica / USA 3 3 <0.1

Brazil / Mexico 2 2 <0.1

Brazil / Mexico / USA 3 3 <0.1

Brazil / USA 6 6 0.1 No. of Mixed National Origin Samples 15 15

% of Total 8 0.1



### Part 4. Unknown Origin Samples

Gra. Dai. No. of % of

AP CF CN CU GB GR LT OG PE PP ST SW TO WS CC GC OJ SC WF MK Unknown Total
Unknown Origin 3 4 14 25 3 1 8 12 6 33 6 11 3 6 135

% of Total <1 1 3 5 <1 <1 1 2 1 4 2 1 1 1 1.1

GRAND TOTALS 744 185 742 557 548 739 743 742 741 558 731 743 744 364 743 185 186 371 725 739 11,830



### NOTE

1 Excludes drinking water and soybean samples. Fresh F&V Fresh F&V Processed F&V

Processed F&V

Processed F&V



### Appendix G. Page 2 of 2

# Appendix H

Import vs. Domestic Pesticide Residue Comparisons

PDP is designed to provide a comprehensive stat istical picture of pesticide residues in the U.S. food supply, repres enting all sources, including imports. Most commodities consumed are generally produced in the United States with import components that vary by commodity. However, several commodities test ed over the past several years were cyclical; that is, part of the year the commodity was produced domestically and part of the year it was imported.
Appendix H compares residue data reported fo r samples originating in the United States with those of the same commodity from major exporting countries. Residue data for domestic cucumbers are compared with data fo r samples originating in Mexico for 2002 through 2004. Residue data for gr apes from the United States are compared with data for samples originating in Chile for 2004 only. For cantaloupe, 2003-2004 data from Costa Rica, Guatemala, Honduras, and Nic aragua were combined and com pared with data from the United States. Only residues detected in more than 10 percent of all samples are included in each comparison. All pesticides detected were r egistered in the United St ates. However, the profiles of residue findings were markedly diffe rent in the United St ates samples versus samples from these exporting countries. T he differences in residue detections between countries were likely due to the pesticides used in response to pest pressures based on differing environmental, climatic, and growing conditions.

### Origin Year # of Samples Analyzed # of Samples w/ Detections % of Samples w/ Detections # of Residues Detected

United States 2002 76 42 55.3 89 2003 375 216 57.6 423 2004 286 179 62.6 377 2002-2004 737 437 59.3 889

Mexico 2002 102 82 80.4 212 2003 324 275 84.9 721 2004 201 176 87.6 530 2002-2004 627 533 85.0 1,463

Pesticide Origin # of Samples Analyzed # of Samples w/ Detections % of Samples w/ Detections
Endosulfan I, II, or sulfate United States 737 230 31.2 Mexico 627 400 63.8

Metalaxyl United States 737 93 12.6 Mexico 627 190 30.3

Methamidophos United States 737 27 3.7 Mexico 627 123 19.6

NOTE: The Limits of Detection (LODs) for pesticide detections in cucumbers are listed in Appendix B. 

# Appendix H. Import vs. Domestic Pesticide Residue Comparisons

2002-2004 Distribution of Residues for Cucumbers United States Samples vs. Samples Originating in Mexico

2002-2004 Distribution of Residues for Cucumber Samples Originating in Mexico vs. United States (Only Pesticides with Residue Detections in at least 10 Percent of all Samples)

Appendix H. Page 1 of 3

### Origin Year # of Samples Analyzed # of Samples w/ Detections % of Samples w/ Detections # of Residues Detected

United States 2004 390 271 69.5 473

Chile 2004 287 256 89.2 768

Pesticide Origin # of Samples Analyzed # of Samples w/ Detections % of Samples w/ Detections
Captan United States 373 11 2.9 Chile 287 127 44.3

Chlorpyrifos United States 390 7 1.8 Chile 287 81 28.2

Cyprodinil United States 390 79 20.3 Chile 287 100 34.8

Ethephon United States 186 106 57.0 Chile 255 44 17.3

Fludioxonil United States 390 5 1.3 Chile 287 82 28.6

Imidacloprid United States 390 62 15.9 Chile 287 47 16.4

Iprodione United States 390 8 2.1 Chile 287 77 26.8

Myclobutanil United States 390 67 17.2 Chile 287 27 9.4

NOTE: The Limits of Detection (LODs) for pesticide detections in grapes are listed in Appendix B. 

# 2004 Distribution of Residues for Grapes United States Samples vs. Samples Originating in Chile

2004 Distribution of Residues for Grape Samples Originating in Chile vs. United States (Only Pesticides with Residue Detections in at least 10 Percent of all Samples)

Appendix H. Page 2 of 3

### Origin Year #o f S amples Analyzed #o f S amples w/ Detections %o f S amples w/ Detections #o fResidues Detected

United States 2003 144 69 47.9 84 2004 394 132 33.5 165 2003-2004 538 201 37.4 249

Central America 1 

### 2003 35 33 94.3 52 2004 325 258 79.4 436 2003-2004 360 291 80.8 488

Pesticide Origin #o f S amples Analyzed #o f S amples w/ Detections %o f S amples w/ Detections

Endosulfan sulfate United States 538 155 28.8 Central America 1 

### 360 254 70.6

Methomyl United States 538 21 3.9 Central America 1 

### 360 135 37.5

1 

### Combined findings from Costa Rica, Guatemala, Honduras, and Nicaragua.

NOTE: The Limits of Detection (LODs) for pesticide detections in cantaloupe are listed in Appendix B. 

# 2003-2004 Distribution of Residues for Cantaloupe Samples Originating in Central America 1 

# vs. United States (Only Pesticides with Residue Detections in at least 10 Samples) 

# Central America1 

# 2003-2004 Distribution of Residues for Cantaloupe United States Samples vs. Samples Originating in

Appendix H. Page 3 of 3

# Appendix I

National Estimates for Concentration Percentiles vs. Tolerance (Pairs With Residue Detections in at Least 10 Percent of Samples)

Appendix I shows 96 pesticide/commodity pairs(including metabolites, isomers, and degradates) with detections in at least 10 percentof the samples tested. Concentrations detected are arranged in percentiles. T he 90th percentile is compared to the Environmental Protection Agency tolerance es tablished for each pesticide/commodity pair.
The meaning of a percentile can be most eas ily explained through an example. For the pears/thiabendazole pair, the 50th percentile, or median, is estima ted to be 0.20 ppm. This means that PDP estimates that at l east 50 percent of pears available to U.S. consumers had thiabendazole residues of 0.20 ppm or less, while at least 50 percent had residues of 0.20 ppm or more. Similarly, t he 75th percentile (or the upper quartile) for this pair is estimated to be 0.51 ppm, which means that at least 75 percent of pears had thiabendazole residues of 0.51 ppm or less, while at least 25 percent had residues of 0.51 ppm or more. Finally, the 90th percentile isestimated to be 0.96 ppm, meaning that at least 90 percent of all pears had thiabendazole resi dues of 0.96 ppm or le ss, while at least 10 percent had residues of 0.96 ppm or more.
Percent detections and percentiles for apples , cantaloupe, cauliflower, cucumbers, grapes, fresh green beans, lettuce, oranges, pears, strawberries, sweet bell peppers, sweet potatoes, tomatoes, and winter squash were weighted based on marketing data.

### APPENDIX I. NATIONAL ESTIMATES FOR CONCENTRATION PERCENTILES vs. TOLERANC E (Pairs With Residue Detections in at Least 10 Percent of Samples 1 

### )

% of Ratio of Samples with Mean (ppm) 2 

### Percentiles (ppm) 90th Percentile Commodity / Pesticide Detections Lower Upper 50th 75th 90th to Tolerance 1 Apples (W) Azinphos methyl 41.3 0.019 0.025 * 0.030 0.056 0.037 Captan 8.7 0.012 0.025 * * * < 0.001 Captan metabolite 3 

### 15.8 0.032 0.048 * * 0.062 0.002 Carbendazim (MBC) 20.1 0.005 0.005 * * 0.004 0.001 Diphenylamine 77.3 0.28 0.28 0.037 0.41 0.90 0.090 Ethephon 4 

### 29.5 0.011 0.015 * 0.009 0.034 0.007 Imidacloprid 32.0 0.001 0.003 * 0.001 0.003 0.005 Phosmet 17.4 0.010 0.014 * * 0.027 0.003 Thiabendazole 85.9 0.35 0.36 0.10 0.43 1.0 0.10

2 Cantaloupe (W) Endosulfan sulfate 32.4 0.007 0.012 * 0.013 0.023 0.011 Methomyl 12.7 0.007 0.018 * * 0.022 0.11

3 Cauliflower (W) (October - December only) Imidacloprid 73.4 0.004 0.004 0.002 0.003 0.009 0.003

4 Cucumbers (W) Endosulfan I 34.0 0.008 0.011 * 0.009 0.022 0.011 Endosulfan II 24.8 0.006 0.010 * * 0.019 0.010 Endosulfan sulfate 42.2 0.012 0.015 * 0.019 0.035 0.018 Metalaxyl 14.7 0.005 0.014 * * 0.020 0.020 o-Phenylphenol 14.5 0.005 0.014 * * 0.019 0.002

5 Grapes (W) Captan 16.4 0.018 0.026 * * 0.046 0.001 Chlorpyrifos 9.9 0.004 0.007 * * * < 0.001 Cyprodinil 24.4 0.038 0.043 * * 0.15 0.075 Ethephon 37.5 0.17 0.17 * 0.10 0.53 0.26 Fludioxonil 10.3 0.010 0.020 * * 0.018 0.018 Imidacloprid 16.8 0.009 0.017 * * 0.019 0.019 Iprodione 10.2 0.019 0.039 * * 0.025 < 0.001 Myclobutanil 14.8 0.010 0.029 * * 0.042 0.042

6 Green Beans (W) (April - December only) Acephate 29.2 0.097 0.10 * 0.028 0.30 0.10 Chlorothalonil 28.8 0.009 0.011 * 0.003 0.021 0.004 Endosulfan I 10.0 0.003 0.006 * * 0.002 0.001 Endosulfan sulfate 15.6 0.014 0.017 * * 0.017 0.009 Methamidophos 27.7 0.033 0.036 * 0.012 0.12 0.12 o-Phenylphenol 5 

### 71.7 0.016 0.019 0.019 0.026 0.032 NT

7 Green Beans, Canned Acephate 14.1 0.004 0.007 * * 0.010 0.003 Methamidophos 15.1 0.003 0.007 * * 0.010 0.010

Appendix I. Page 1 of 4

### % of Ratio of Samples with Mean (ppm) 2 

### Percentiles (ppm) 90th Percentile Commodity / Pesticide Detections Lower Upper 50th 75th 90th to Tolerance
8 Lettuce (W) Acetamiprid 6 

### 15.4 0.003 0.003 * * 0.002 0.011 DCPA 27.3 0.002 0.004 * 0.001 0.004 0.002 DDE p,p' 11.4 0.001 0.004 * * 0.002 0.004 Diazinon 10.2 0.001 0.003 * * 0.002 0.003 Dimethomorph 10.8 0.032 0.047 * * 0.004 < 0.001 Imidacloprid 66.9 0.008 0.010 0.003 0.009 0.023 0.006 Methomyl 11.0 0.014 0.019 * * 0.003 0.001 Permethrin cis 17.5 0.019 0.024 * * 0.030 0.002 Permethrin trans 12.4 0.015 0.022 * * 0.016 0.001

9 Milk (in parts per billion) Cyaholothrin, Total 17.3 0.092 0.22 * * 0.38 0.002 DDE p,p' 96.0 0.50 0.51 0.26 0.56 1.2 0.001 Dieldrin 41.4 0.11 0.18 * 0.22 0.38 0.001 Diphenylamine 98.5 0.21 0.21 0.19 0.25 0.36 0.036 Endosulfan sulfate 18.2 0.051 0.15 * * 0.22 < 0.001

10 Orange Juice Carbaryl 11.3 0.001 0.008 * * 0.002 < 0.001 o-Phenylphenol 38.7 0.009 0.015 * 0.019 0.026 0.003

11 Oranges (W) Imazalil 74.9 0.074 0.081 0.055 0.095 0.16 0.016 o-Phenylphenol 17.7 0.004 0.012 * * 0.019 0.002 Thiabendazole 34.8 0.038 0.058 * 0.055 0.12 0.012

12 Peaches, Canned Carbaryl 12.9 0.008 0.017 * * 0.019 0.002

13 Pears (W) Azinphos methyl 34.1 0.017 0.024 * 0.020 0.051 0.034 o-Phenylphenol 13.2 0.14 0.16 * * 0.032 0.001 Phosmet 17.8 0.022 0.028 * * 0.031 0.003 Thiabendazole 66.5 0.35 0.37 0.20 0.51 0.96 0.096

14 Soybeans (in parts per billion) Chlorpyrifos 28.9 2.7 4.8 * 3.5 10.6 0.035 Malathion 11.7 3.1 8.2 * * 6.8 0.001

15 Spinach, Canned Cypermethrin 23.2 0.063 0.086 * * 0.24 0.024 DDE p,p' 10.8 0.002 0.008 * * 0.008 0.017 Permethrin Total 65.8 1.2 1.2 0.70 2.0 3.1 0.16

Appendix I. Page 2 of 4

### % of Ratio of Samples with Mean (ppm) 2 

### Percentiles (ppm) 90th Percentile Commodity / Pesticide Detections Lower Upper 50th 75th 90th to Tolerance 16 Strawberries (W) Captan 62.4 0.34 0.34 0.062 0.29 0.74 0.030 Cyprodinil 10.2 0.028 0.090 * * 0.014 0.003 Fenhexamid 28.2 0.052 0.060 * 0.047 0.20 0.067 Fenpropathrin 12.2 0.021 0.038 * * 0.036 0.018 Fludioxonil 10.9 0.012 0.025 * * 0.018 0.009 Malathion 25.1 0.006 0.007 * 0.001 0.016 0.002 Methomyl 27.0 0.13 0.14 * 0.025 0.33 0.17 Myclobutanil 42.6 0.018 0.023 * 0.013 0.064 0.13 Tetrahydrophthalimide (THPI) 60.5 0.20 0.21 0.10 0.27 0.50 0.020 Triazole alanine (TA) 12.9 0.010 0.042 * * 0.042 NT

17 Sweet Bell Peppers (W) Acephate 24.0 0.048 0.050 * * 0.16 0.040 Bifenthrin 12.8 0.003 0.005 * * 0.007 0.014 Captan 11.7 0.020 0.037 * * 0.035 0.001 Carbendazim (MBC) 27.2 0.004 0.004 * * 0.004 0.022 Chlorpyrifos 16.6 0.008 0.009 * * 0.017 0.017 Dicofol p,p' 14.2 0.008 0.011 * * 0.009 0.002 Endosulfan I 10.8 0.003 0.009 * * 0.007 0.004 Endosulfan II 15.2 0.004 0.009 * * 0.015 0.008 Imidacloprid 80.8 0.008 0.008 0.003 0.009 0.023 0.023 Metalaxyl 17.0 0.006 0.014 * * 0.019 0.019 Methamidophos 33.7 0.019 0.020 * 0.011 0.068 0.068 Methomyl 13.1 0.010 0.010 * * 0.005 0.002 Oxamyl 16.7 0.004 0.004 * * 0.006 0.002 Thiabendazole 27.3 < 0.001 < 0.001 * < 0.001 < 0.001 NT

18 Sweet Potatoes (W) Dicloran 44.2 0.15 0.15 * 0.18 0.44 0.044 o-Phenylphenol 11.4 0.005 0.013 * * 0.012 0.001

19 Tomatoes (W) Endosulfan I 14.5 0.002 0.004 * * 0.008 0.004 Endosulfan II 22.6 0.003 0.006 * * 0.013 0.007 Endosulfan sulfate 21.3 0.002 0.005 * * 0.010 0.005

20 Wheat Flour Chlorpyrifos methyl 20.8 0.009 0.024 * * 0.048 0.008 Malathion 49.4 0.009 0.011 * 0.011 0.023 0.003

21 Winter Squash (W) (July - December only) Chlorothalonil 18.3 0.020 0.024 * * 0.048 0.010 Endosulfan sulfate 12.1 0.003 0.009 * * 0.013 0.007 o-Phenylphenol 15.3 0.003 0.010 * * 0.019 NT

Appendix I. Page 3 of 4

### NOTES

1 Includes some pairs with detections in more than 10 percent of the samples, but with estimated detections in less than 10 percent of the population. Excludes pairs with less than 100 sample observations.

2 The mean is estimated with a range of values. The lower bound is calculated with non-detections valued at zero. The upper bound is calculated using the LOD.

3 Samples collected from May through December only.

4 Samples collected from January through August only.

5 No samples in April.

6 Samples collected from September through December only.



### * The percentile value is estimated to be below the Limit of Detection (LOD)
(W) Weighted for utilization. The Percent of Samples with Detections was recalculated to reflect national estimates.

NT No Tolerance established.

Appendix I. Page 4 of 4

# Appendix J

Cumulative Distributions of Residues for Selected Pesticide/Commodity Pairs

In Appendix J, the concentrations detect ed (in parts per million, except where otherwise noted) are plotted versus the calculated percentiles for the following 12 pesticide/commodity pairs:
Diphenylamine / Apples Cyprodinil / Grapes Acephate / Green Beans Methamidophos / Grean Beans Imidacloprid / Lettuce Imazalil / Oranges Chlorpyrifos / Soybeans Permethrin Total / Spinach (Canned) Myclobutanil / Strawberries Imidacloprid / Sweet Bell Peppers Dicloran / Sweet Potatoes Malathion / Wheat Flour

The distribution of residues for all of the PDP pesticide/commodity pairs has the same curved shape. For each pesticide/comm odity pair, the highest percentile graphed in the appendix (99 th 

## ) is lower than the highest concentrati on detected in the sample (refer to the value shown in each graph ’ s legend). Inclusion of the highest concentration would cause graph distortion, which would obscure concentrations in the low ranges. The tolerance for the pesticide/commodity pair also is indicated in the legend of each graph. The large dots show the percent age of the commodity at or bel ow a given level of residue concentration. For example, an estimated 50 perc ent of apples available to U.S. consumers in 2004 had diphenylamine residue concentrations of0.037 ppm or less. The solid lines, tailing the large dots, depict percentage values. The lowest value of these solid lines indicates the estimated percentage of the comm odity available to U.S. consumers with no detectable residues. For diphenylamine in apples, this is 23 percent. The shaded bar denotes the range of values estimated for the mean. For diphenylamine in apples, the mean range is approximately 0.28 ppm, corresponding to the 69th percentile.

### PercentilesConcentration- (parts per million)

10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4

0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4

LEGEND Tolerance is 10.0 ppm Highest Level Detected is 3.6 ppm

MEAN



### PercentilesConcentration- (parts per million)

10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4

0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4



### PercentilesConcentration- (parts per million)

10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4

0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4

LEGEND Tolerance is 10.0 ppm

MEAN 

# Diphenylamine / Apples

0



### PercentilesConcentration- (parts per million)

10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4

0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4



### PercentilesConcentration- (parts per million)

10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4

0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4

LEGEND Tolerance is 10.0 ppm Highest Level Detected is 3.6 ppm

MEAN



### PercentilesConcentration- (parts per million)

10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4

0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4



### PercentilesConcentration- (parts per million)

10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4

0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4

LEGEND Tolerance is 10.0 ppm

MEAN 

# Diphenylamine / Apples

PercentilesConcentration- (parts per million)

10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4

0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4



### PercentilesConcentration- (parts per million)

10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4

0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4

LEGEND Tolerance is 10.0 ppm

MEAN 

# Diphenylamine / Apples

0 Highest Level Detected is 3.6 ppm



### PercentilesConcentration - (parts per million)

60 65 70 75 80 85 90 95 100 0.0 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50

0.0 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50

LEGEND Tolerance is 2.0 ppm Highest Level Detected is 0.83 ppm

MEAN



### PercentilesConcentration - (parts per million)

60 65 70 75 80 85 90 95 100 0.0 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50

0.0 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50



### PercentilesConcentration - (parts per million)

60 65 70 75 80 85 90 95 100 0.0 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50

0.0 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50

LEGEND Tolerance is 2.0 ppm Highest Level Detected is 0.83 ppm

MEAN 

# Cyprodinil / Grapes

Appendix J. Page 1 of 6 

# Appendix J. Cumulative Distributions of Residues for Selected Pesticide/Commodity Pairs

### PercentilesConcentration - (parts per million)

30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8

0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8

LEGEND Tolerance is 3 ppm Highest Level Detected is 2 ppm

MEAN



### PercentilesConcentration - (parts per million)

30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8

0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8



### PercentilesConcentration - (parts per million)

30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8

0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8

LEGEND Tolerance is 3 ppm Highest Level Detected is 2 ppm

MEAN 

# Acephate / Green Beans

PercentilesConcentration - (parts per million)

30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0.0 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45

0.0 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45

LEGEND Tolerance is 1 ppm Highest Level Detected is 0.56 ppm

MEAN



### PercentilesConcentration - (parts per million)

30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0.0 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45

0.0 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45



### PercentilesConcentration - (parts per million)

30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0.0 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45

0.0 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45

LEGEND Tolerance is 1 ppm Highest Level Detected is 0.56 ppm

MEAN 

# Methamidophos / Green Beans

Appendix J. Page 2 of 6

### PercentilesConcentration - (parts per million)

20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0.0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08

0.0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08

LEGEND Tolerance is 3.5 ppm Highest Level Detected is 0.33 ppm

MEAN



### PercentilesConcentration - (parts per million)

20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0.0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08

0.0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08



### PercentilesConcentration - (parts per million)

20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0.0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08

0.0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08

LEGEND Tolerance is 3.5 ppm Highest Level Detected is 0.33 ppm

MEAN 

# Imidacloprid / Lettuce

PercentilesConcentration - (parts per million)

10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0.0 0.05 0.10 0.15 0.20 0.25 0.30 0.35

0.0 0.05 0.10 0.15 0.20 0.25 0.30 0.35

LEGEND Tolerance is 10.0 ppm

MEAN



### PercentilesConcentration - (parts per million)

10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0.0 0.05 0.10 0.15 0.20 0.25 0.30 0.35

0.0 0.05 0.10 0.15 0.20 0.25 0.30 0.35

LEGEND Tolerance is 10.0 ppm

MEAN



### PercentilesConcentration - (parts per million)

10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0.0 0.05 0.10 0.15 0.20 0.25 0.30 0.35

0.0 0.05 0.10 0.15 0.20 0.25 0.30 0.35

LEGEND Tolerance is 10.0 ppm

MEAN 

# Imazalil / Oranges

0 Highest Level Detected is 0.95 ppm



### Appendix J. Page 3 of 6

### PercentilesConcentration - (parts per BILLION)

70 75 80 85 90 95 100 0 2 4 6 8 10 12 14 16 18 20

0 2 4 6 8 10 12 14 16 18 20

LEGEND Tolerance is 300 ppb Highest Level Detected is 25.2 ppb

MEAN



### PercentilesConcentration - (parts per BILLION)

70 75 80 85 90 95 100 0 2 4 6 8 10 12 14 16 18 20

0 2 4 6 8 10 12 14 16 18 20



### PercentilesConcentration - (parts per BILLION)

70 75 80 85 90 95 100 0 2 4 6 8 10 12 14 16 18 20

0 2 4 6 8 10 12 14 16 18 20

LEGEND Tolerance is 300 ppb Highest Level Detected is 25.2 ppb

MEAN 

# Chlorpryifos / Soybeans

PercentilesConcentration - (parts per million)

20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0 1 2 3 4 5 6 7 8

0 1 2 3 4 5 6 7 8

LEGEND Tolerance is 20.0 ppm Highest Level Detected is 11 ppm

MEAN



### PercentilesConcentration - (parts per million)

20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0 1 2 3 4 5 6 7 8

0 1 2 3 4 5 6 7 8



### PercentilesConcentration - (parts per million)

20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0 1 2 3 4 5 6 7 8

0 1 2 3 4 5 6 7 8

LEGEND Tolerance is 20.0 ppm Highest Level Detected is 11 ppm

MEAN 

# Permethrin Total / Spinach (Canned)

Appendix J. Page 4 of 6

### PercentilesConcentration - (parts per million)

40 45 50 55 60 65 70 75 80 85 90 95 100 0.0 0.02 0.04 0.06 0.08 0.10 0.12 0.14 0.16 0.18 0.20 0.22

0.0 0.02 0.04 0.06 0.08 0.10 0.12 0.14 0.16 0.18 0.20 0.22

LEGEND Tolerance is 0.50 ppm Highest Level Detected is 0.64 ppm

MEAN



### PercentilesConcentration - (parts per million)

40 45 50 55 60 65 70 75 80 85 90 95 100 0.0 0.02 0.04 0.06 0.08 0.10 0.12 0.14 0.16 0.18 0.20 0.22

0.0 0.02 0.04 0.06 0.08 0.10 0.12 0.14 0.16 0.18 0.20 0.22



### PercentilesConcentration - (parts per million)

40 45 50 55 60 65 70 75 80 85 90 95 100 0.0 0.02 0.04 0.06 0.08 0.10 0.12 0.14 0.16 0.18 0.20 0.22

0.0 0.02 0.04 0.06 0.08 0.10 0.12 0.14 0.16 0.18 0.20 0.22

LEGEND Tolerance is 0.50 ppm Highest Level Detected is 0.64 ppm

MEAN 

# Myclobutanil / Strawberries

PercentilesConcentration - (parts per million)

10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0.0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08

0.0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08

LEGEND

MEAN



### PercentilesConcentration - (parts per million)

10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0.0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08

0.0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08



### PercentilesConcentration - (parts per million)

10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0.0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08

0.0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08

LEGEND

MEAN

Tolerance is 1.0 ppm Highest Level Detected is 0.13 ppm 

# Imidacloprid / Sweet Bell Peppers

0



### Appendix J. Page 5 of 6

### PercentilesConcentration - (parts per million)

0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0

0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0

LEGEND Tolerance is 10 ppm Highest Level Detected is 4.1 ppm

MEAN



### PercentilesConcentration - (parts per million)

0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0

0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0



### PercentilesConcentration - (parts per million)

0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0

0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0

LEGEND Tolerance is 10 ppm Highest Level Detected is 4.1 ppm

MEAN 

# Dicloran / Sweet Potatoes

PercentilesConcentration - (parts per million)

20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0.0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09

0.0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09

LEGEND Tolerance is 8 ppm Highest Level Detected is 0.68 ppm

MEAN



### PercentilesConcentration - (parts per million)

20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0.0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09

0.0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09



### PercentilesConcentration - (parts per million)

20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 0.0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09

0.0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09

LEGEND Tolerance is 8 ppm Highest Level Detected is 0.68 ppm

MEAN 

# Malathion / Wheat Flour

Appendix J. Page 6 of 6

# Appendix K

Number of Pesticides Detected per Sample

Appendix K shows the percentage of sample s versus the number of pesticides detected per sample, excluding drinking wate r. The graph and data on page 1 show the overall number of samples and percentages (of to tal number of samples analyzed) for each detection group across all commodities. T he table on page 2 show s the number of pesticides detected by individual commodi ty. For the 12,446 samples analyzed, 29.5 percent of the samples had no detectable pesticides, 30.0 percent had 1 pesticide, and 40.5 percent of the samples had more than 1 pesticide.
This appendix reports the number of distinct pesticides rat her than residues, as was reported in summaries prior to 2003. A parent compound and it s metabolites are reported as a single pesticide. For example, a single application of the pesticide endosulfan may result in residues of the parent compound endosulfan I, its endosulfan II isomer, and its endosulfan sulfate metabolite. Thus, three resi due detections could resultfrom the use of a single pesticide. In t he 2002 and previous summaries, the corresponding appendix would have counted these results as three distinctresidues, while this appendix counts the findings as just one distinct pesticide.
In most cases, results in this appendix re flect pesticide residue concentrations from samples analyzed from composites of 3 to 5 pounds, depending on the commodity. Therefore, the number of pesti cides reported does not necessa rily reflect the number of pesticides per individual sample or per single serving of a commodity.

## APPENDIX K. SAMPLES vs. NUMBER OF PESTICIDES 1 

## DETECTED PER SAMPLE 2



## 35

30

25

20

15

10

5

0 1 2 3 4 5 6 7 8 9 10 11 12

0 1 2 3 4 5 6 7 8 9 10 11 12
Number of Samples 3,674 3,730 2,310 1,380 739 338 148 64 34 19 5 3 2
Percent of Total Samples 29.5 30.0 18.6 11.1 5.9 2.7 1.2 0.5 0.3 0.2 0.04 0.02 0.02 

## TOTAL NUMBER OF SAMPLES = 12,446

NOTES

1 Parent compounds and their metabolites are combined to report the number of "pesticides" rather than the number of "residues," as was reported in summaries prior to 2003. For example, a sample with positive detections for Endosulfan I, II, and sulfat e would have been counted as three residues detected in the 2002 Appendix L. That same sample would be counted as just one pesticid e detected in this appendix.

2 Excludes drinking water samples. 

## Number of Pesticides Detected per Sample

N um b er o f P est i c id es D etecte d per S amp l ePercent of Samples 29.5

18.6 30.0

2.7 5.9 11.1

0.2 0.3 0.5 1.2 0.04 0.02 0.02

Appendix K. Page 1 of 2Commodity (# of samples) 

## 0 1 2 3 4 5 6 7 8 9 10 11 12 Fresh Fruit and Vegetables:

Apples (744) 2.3 5.8 15.3 27.8 27.2 14.4 4.7 1.7 0.7 0.1

-- -- -- Cantaloupe (742) 45.8 32.7 15.9 5.0 0.5

-- -- -- -- -- -- -- -- Cauliflower (185) 27.6 64.3 7.0 1.1

-- -- -- -- -- -- -- -- -- Cucumbers (557) 27.5 39.0 21.7 9.2 2.2 0.4 0.2

-- -- -- -- -- -- Grapes (739) 22.3 32.2 21.2 11.8 7.2 3.1 1.6 0.4 0.1

-- -- -- -- Green Beans (548) 29.4 21.4 23.2 17.9 5.7 2.2 0.4

-- -- -- -- -- -- Lettuce (743) 11.6 27.9 21.3 14.7 11.4 6.5 3.0 1.7 1.1 0.8 0.1

-- -- Oranges (742) 11.9 49.6 33.7 4.4 0.4

-- -- -- -- -- -- -- -- Pears (741) 13.2 38.3 27.0 13.2 5.9 1.9 0.4

-- -- -- -- -- -- Sweet Bell Peppers (558) 3.4 12.4 18.1 17.9 16.7 10.0 9.3 5.0 3.6 2.0 0.7 0.5 0.4 Strawberries (731) 6.8 19.7 28.2 24.6 12.6 5.1 1.9 1.0

-- 0.1

-- -- -- Sweet Potatoes (743) 38.0 48.2 11.7 2.2

-- -- -- -- -- -- -- -- -- Tomatoes (744) 51.7 34.5 11.0 2.0 0.7

-- -- -- -- -- -- -- -- Winter Squash (364) 59.9 27.2 10.2 1.9 0.5 0.3

-- -- -- -- -- -- -- 

### Processed Fruit and Vegetables:

Green Beans, Canned (185) 76.2 9.7 12.4 1.6

-- -- -- -- -- -- -- -- -- Orange Juice (186) 50.0 49.5 0.5

-- -- -- -- -- -- -- -- -- -- Peaches, Canned (743) 78.2 20.1 1.7

-- -- -- -- -- -- -- -- -- -- Spinach, Canned (371) 19.1 56.1 21.6 2.7 0.5

-- -- -- -- -- -- -- -- Percent of Total Samples 28.9 31.2 18.2 10.2 6.1 2.9 1.4 0.6 0.3 0.2 0.05 0.03 0.02
Actual Number of Samples 2,999 3,230 1,888 1,053 628 300 141 64 34 19 5 3 2



## Grain Products:

Soybeans (616) 58.4 37.3 4.2

-- -- -- -- -- -- -- -- -- -- Wheat Flour (725) 43.4 34.5 19.6 2.3

-- 0.1

-- -- -- -- -- -- -- Percent of Total Samples 50.3 35.8 12.5 1.3 -- 0.07 -- -- -- -- -- -- --
Actual Number of Samples 675 480 168 17 -- 1 -- -- -- -- -- -- --



## Dairy Product:

Milk (739)

-- 2.7 34.4 41.9 15.0 5.0 0.9

-- -- -- -- -- -- Number of Samples -- 20 254 310 111 37 7 -- -- -- -- -- --



## NOTES

1 Parent compounds and their metabolites are combined to report the number of "pesticides" rather than the number of "residues,"

as was reported in summaries prior to 2003.

2 Excludes the 762 drinking water samples. 

## Number of Pesticides 1 

## Detected per Sample2 

## APPENDIX K. SAMPLES vs. NUMBER OF PESTICIDES DETECTED PER SAMPLE

Percent

TOTAL NUMBER OF FRUIT & VEGETABLE SAMPLES = 10,366

Appendix K. Page 2 of 2

# Appendix L

Fruit and Vegetable Samples Reported to FDA as Exceeding the Tolerance or Without Established Tolerance (per Code of Federal Regulations, Title 40, Part 180)

Appendix L shows residues reported to FDA as exceeding the tolerance or residues for which no established tolerance was list ed under the Code of Fe deral Regulations (CFR), Title 40, Part 180. In 2004, a total of 672 samples with 700 residues were reported to the FDA as Presumptive Tolerance Violations.
A total of 21 fruit and vegetable samples were found to have residues at levels exceeding the established tolerance. Sa mples containing a residue exceeding an established tolerance included 3 cantaloupe sa mples, 3 cucumber samples, 6 grape samples, 7 strawberry samples, and 2 winte r squash samples. Of those 21 samples, 9 were reported as imported produce.
In addition, 652 fruit and vegetable samples were found to have residues for which no tolerance was established.

• 625 samples contained 1 residue for which no tolerance was established.

• 26 samples contained 2 residues for which no tolerance was established.

• 1 sample contained 3 residues for which no tolerance was established.
One of the 652 samples also contained one residue that exceeded an established tolerance.
The columns under the Sample Origin headi ng provide the number of samples that were of domestic, import, or unknown origin for each pesticide/commodity pair listed.
Appendix L also notes if metabolites (or isom ers) were detected as part of the same sample. In instances wher e both parent and metabolite (or isomer) were detected, PDP accounted for both as part of the same tolerance expression.

## Residues Exceeding Established Tolerance

Commodity / Pesticide Limit of Detection, ppm Concentration Detected, ppm EPA Tolerance Level, ppm Sample Origin



### 1 Cantaloupe / Methomyl 0.017 0.50 0.2 Import

2 Cantaloupe / Methomyl 0.012 0.39 0.2 Import

3 Cantaloupe / Methomyl 0.014 0.32 0.2 U.S.

4 Cucumbers / Acephate 0.002 0.052 0.02 U.S.

5 Cucumbers / Acephate 0.002 0.036 0.02 U.S.

6 Cucumbers / Chlorpyrifos 0.004 0.12 0.05 Import

7 Grapes / Ethephon 0.005 4.6 2.0 U.S.

8 Grapes / Ethephon 0.005 4.5 2.0 Import

9 Grapes / Ethephon 0.005 4.4 2.0 Import

10 Grapes / Ethephon 0.005 3.6 2.0 Import

11 Grapes / Ethephon 0.005 2.6 2.0 Import

12 Grapes / Methamidophos 0.008 0.035 0.02 Import

13 Strawberries / Cyhalothrin, Lambda 0.010 0.060 0.01 U.S.

14 Strawberries / Cyhalothrin, Lambda 0.010 0.043 0.01 U.S.

15 Strawberries / Cyhalothrin, Total (Cyhalothrin-L + R157836 epimer) 0.008 0.037 0.01 U.S.

16 Strawberries / Cyhalothrin, Total (Cyhalothrin-L + R157836 epimer) 0.008 0.031 0.01 U.S.

17 Strawberries / Methomyl 0.014 4.1 2 U.S.

18 Strawberries / Methomyl 0.014 3.7 2 U.S.

19 Strawberries / Myclobutanil 0.001 0.64 0.50 U.S.

20 Winter Squash / Acephate + Methamidophos 0.005 0.27 0.02 Import

21 Winter Squash / Dieldrin 0.006 0.20 0.1 U.S. 

## APPENDIX L. SAMPLES REPORTED TO FDA AS EXCEEDING THE TOLERANC E OR WITHOUT ESTABLISHED TOLERANC E (per Code of Federal Regulations, Title 40, Part 180)

Appendix L. Page 1 of 4Commodity / Pesticide U.S. Import Unk. 

### 1 Apples

1 Naphthol 5 5 100 0.017 - 0.25 0.010 ^ 4 1 0 Chlorpropham 528 1 0.2 0.010 ^ 0.006 ^ 1 0 0 Dicloran 528 1 0.2 0.003 ^ 0.002 ^ 1 0 0 Iprodione 528 2 0.4 0.014 - 0.032 0.008 ^ 0 2 0 Methoxychlor olefin 528 2 0.4 0.003 - 0.014 0.001 ^ 2 0 0 Methoxychlor Total 528 2 0.4 0.053 - 0.53 0.002 ^ 2 0 0 Mevinphos Total 528 1 0.2 0.003 ^ 0.002 ^ 1 0 0 Propargite 528 1 0.2 0.15 ^ 0.026 - 0.088 1 0 0 Tebuconazole 498 1 0.2 0.013 ^ 0.002 ^ 1 0 0

2 Cantaloupe

Diphenylamine (DPA) 742 2 0.3 0.014 ^ 0.008 - 0.010 2 0 0

3 Cauliflower

Dimethomorph 185 1 0.5 0.003 ^ 0.002 ^ 1 0 0

4 Cucumbers

Chlorpropham 396 2 0.5 0.017 ^ 0.010 - 0.011 1 1 0 Cypermethrin 396 1 0.3 0.050 ^ 0.030 - 0.036 1 0 0 Dimethoate 397 6 1.5 0.003 - 0.22 0.002 ^ 1 5 0 Omethoate 1 

### 397 2 0.5 0.007 - 0.078 0.004 ^ 0 2 0 Iprodione 395 1 0.3 0.035 ^ 0.021 ^ 0 1 0 Oxadixyl 557 2 0.4 0.025 - 0.054 0.015 ^ 0 2 0 Tebuconazole 395 1 0.3 0.033 ^ 0.020 ^ 1 0 0 Triadimenol 109 1 0.9 0.025 ^ 0.015 ^ 0 1 0

5 Grapes

Diflubenzuron 1 1 100 0.012 ^ 0.007 ^ 0 1 0 Malathion oxygen analog 738 1 0.1 0.020 ^ 0.003 - 0.006 1 0 0 o-Phenylphenol 2 

### 528 2 0.4 0.017 ^ 0.010 - 0.015 0 2 0 Triadimenol 212 15 7.1 0.025 - 0.22 0.015 ^ 2 13 0

6 Green Beans

Carbofuran 388 1 0.3 0.003 ^ 0.002 - 0.015 1 0 0 o-Phenylphenol 2 

### 104 67 64.4 0.017 ^ 0.010 ^ 56 11 0 Permethrin Total 387 1 0.3 0.24 ^ 0.075 ^ 1 0 0 Tebufenozide 2 2 100 0.028 - 0.043 0.003 ^ 2 0 0 Sample Origin 

## Distribution of Residues with No Tolerance Listed in 40 CFR, Part 180,

Range of LODs, ppm Number of Samples Samples Reported % of Samples Range of Values Detected, ppm 

## by Commodity/Pesticid e

Appendix L. Page 2 of 4Commodity / Pesticide U.S. Import Unk.



### 7 Lettuce

Atrazine 527 4 0.8 0.003 - 0.011 0.002 ^ 4 0 0 Carbendazim (MBC) 527 7 1.3 0.0002 - 0.0003 0.0001 ^ 7 0 0 Chlorothalonil 1 1 100 0.008 ^ 0.005 ^ 1 0 0 Diflubenzuron 527 1 0.2 0.011 ^ 0.007 ^ 1 0 0 Hexachlorobenzene (HCB) 175 1 0.6 0.002 ^ 0.001 ^ 1 0 0 Linuron 512 1 0.2 0.005 ^ 0.003 ^ 1 0 0 Malathion oxygen analog 743 1 0.1 0.021 ^ 0.003 ^ 0 1 0 Napropamide 528 1 0.2 0.17 ^ 0.007 - 0.020 1 0 0 o-Phenylphenol 2 

### 582 42 7.2 0.017 ^ 0.003 - 0.010 42 0 0 Oxamyl 486 5 1 0.001 - 0.040 0.0003 - 0.008 5 0 0 Tebuconazole 483 1 0.2 0.003 ^ 0.002 ^ 1 0 0 Thiabendazole 527 43 8.2 0.0002 - 0.032 0.0001 ^ 41 2 0

8 Milk (in parts per billion)

Fluvalinate 739 3 0.4 0.75 - 2.4 0.45 ^ 3 0 0

9 Pears

1 Naphthol 7 7 100 0.017 - 0.13 0.010 ^ 1 6 0 Chlorpropham 525 1 0.2 0.018 ^ 0.011 ^ 1 0 0 Dicloran 526 2 0.4 0.006 - 0.013 0.004 - 0.008 2 0 0 Diphenylamine (DPA) 741 37 5 0.017 - 0.97 0.010 - 0.015 23 13 1 Iprodione 526 2 0.4 0.035 - 0.038 0.021 - 0.023 0 2 0 Prochloraz 525 1 0.2 0.013 ^ 0.002 - 0.005 1 0 0 Propargite 525 3 0.6 0.016 - 0.12 0.015 - 0.30 3 0 0 Thiodicarb 1 1 100 0.021 ^ 0.002 ^ 0 1 0

10 Spinach, Canned DCPA 371 25 6.7 0.012 - 0.044 0.007 ^ 24 1 0 Dicloran 371 1 0.3 0.029 ^ 0.010 ^ 1 0 0

11 Strawberries Malathion oxygen analog 731 29 4 0.002 - 0.013 0.0009 - 0.003 28 1 0 Triazole alanine (TA) 518 64 12.4 0.060 - 0.13 0.036 ^ 62 2 0 Vinclozolin 1 1 100 0.034 ^ 0.010 ^ 1 0 0

12 Sweet Bell Peppers Chlorpropham 558 9 1.6 0.010 ^ 0.006 ^ 7 2 0 Dicloran 558 1 0.2 0.52 ^ 0.002 ^ 0 1 0 Diphenylamine (DPA) 558 4 0.7 0.005 ^ 0.003 ^ 3 0 1 Fenamiphos sulfoxide 544 1 0.2 0.003 ^ 0.002 ^ 1 0 0 Forchlorfenuron 496 1 0.2 0.0002 ^ 0.0001 - 0.0002 0 1 0 Hexythiazox 1 1 100 0.054 ^ 0.033 ^ 0 1 0 Imazalil 558 1 0.2 0.016 ^ 0.010 ^ 1 0 0 Iprodione 558 2 0.4 0.053 - 0.085 0.028 ^ 2 0 0 Propiconazole 466 1 0.2 0.004 ^ 0.002 ^ 1 0 0 Thiabendazole 558 152 27.2 0.0002 - 0.003 0.0001 ^ 102 46 4 Vinclozolin 558 2 0.4 0.006 - 0.036 0.004 ^ 2 0 0 Number of Samples Samples Reported % of Samples Range of Values Detected, ppm Range of LODs, ppm Sample Origin

Appendix L. Page 3 of 4Commodity / Pesticide U.S. Import Unk.



### 13 Sweet Potatoes Chlorpropham 2 2 100 0.017 ^ 0.010 ^ 2 0 0

14 Tomatoes Iprodione 1 1 100 0.057 ^ 0.034 ^ 0 1 0

15 Wheat Flour Methoxychlor p,p' 725 21 2.9 0.008 ^ 0.005 ^ 20 1 0 Pirimiphos methyl 725 15 2.1 0.005 ^ 0.003 ^ 15 0 0

16 Winter Squash Diphenylamine (DPA) 262 1 0.4 0.014 ^ 0.008 ^ 1 0 0 Hexachlorobenzene (HCB) 263 1 0.4 0.003 ^ 0.002 - 0.003 1 0 0 o-Phenylphenol 2 

### 331 53 16 0.014 - 0.017 0.008 - 0.010 51 2 0

NOTES

1 One detection within the same sample as Dimethoate.

2 o-Phenylphenol is a disinfectant approved for use in food handling establishments, including production facilities for commodities identified above.

Note: For those pesticide/commodity pairs where the minimum detected value is less than the limit of quantitation (3 times the limit of detection), the reported values are estimates. In a few cases, this may apply to the maximum detected value. Range of LODs, ppm Sample Origin Number of Samples Samples Reported % of Samples Range of Values Detected, ppm

Appendix L. Page 4 of 4