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Mining Publication: Thermally Induced Filter Bias in TEOM� Mass Measurement
Keywords: Filter dust collectors Particulate matter measures Personal dust monitors TEOM
Original creation date: July 2007
Authors: SJ Page, DP Tuchman, RP Vinson
Peer Reviewed Journal Article - July 2007
Download PDF Document (1.14 MB)
NIOSHTIC2 Number: 20032231
J Environ Monit 2007 Jul; 9(7):760-767
Researchers at the National Institute for Occupational Safety and Health (NIOSH) have long used stationary tapered element oscillating microbalances (TEOMs®) in laboratory settings. They have served to assess the mass concentration of laboratory-generated particulates in experimental dust chambers and they provide a reference method for comparison with other particulate-measuring instruments. Current NIOSH research is focused on further adapting TEOM technology as a wearable personal dust monitor (PDM) for coal mining occupations. This investigation's goal is to help identify, quantify, and provide means for resolving certain TEOM-related error. The present research investigated bias caused by thermal effects on filter assemblies. New filters used in the PDM for 8 h tests show an average positive bias of 25.5 μg, while similar tests of equivalent filters used in two 1400A model TEOMs show an average positive bias of 34.3 μg. The derived bias values allow correction of previously collected biased data. Also, pre-heating the filters for 24 h at 46 °C shows significant bias reduction, with PDM pre-heated filters subsequently averaging - 3.3 μg and 1400A TEOM filters averaging 5.9 μg. On a single-point comparison to gravimetric sampling, a 25.5 μg bias is only significant at low mass loadings. At 2.5 mg, this bias represents a negligible 1% of the mass measurement. If ordinary linear regression is used, the bias is still insignificant. However, if the more valid weighted linear regression is used, it gives more weight to the smaller dependent variable values, which are more impacted by the bias. Consequently, what is 1% bias on a single high-mass value can translate into a larger bias percentage at high-mass values when performing a weighted regression on data that include a large number of low-mass values.
Image of publication Thermally Induced Filter Bias in TEOM� Mass MeasurementPeer Reviewed Journal Article - July 2007
Download PDF Document (1.14 MB)
NIOSHTIC2 Number: 20032231
J Environ Monit 2007 Jul; 9(7):760-767
See Also
Association of IL-6 with PM2.5 Components: Importance of Characterizing Filter-based PM2.5 Following Extraction
Determining the Spatial Variability of Personal Sampler Inlet Locations
Diesel Exhaust Aerosol, Review of Measurement Technology
Differential Pressure Response of 25-mm-Diameter Glass Fiber Filters Challenged with Coal and Limestone Dust Mixtures
Filter Media and Holder Compatible with Personal Dust Monitor and End-of-Shift Crystalline Silica Quantification by Raman and FTIR Spectroscopy
Implementing Infrared Determination of Quartz Particulates on Novel Filters for a Prototype Dust Monitor
Instrumentation for Diesel Particulate Matter Emissions Research
Real-Time DPM Ambient Monitoring in Underground Mines
Ringelmann Smoke Chart
Technology News 562 - ESPnano Characterizes Hazardous Airborne Particles in the Workplace
Page last reviewed: September 21, 2012
Page last updated: September 21, 2012
Content source: National Institute for Occupational Safety and Health, Mining Program
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