PATENT CLAIM ANALYSIS

Application Number: 16271850
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["436", "150000"]

Abstract:
An aquatic environment water parameter testing method that utilizes the conductivity of a liquid sample of an aquatic environment to correct an optical reading of a chemical indicator that has been exposed to the liquid sample to determine the level of a constituent in the aquatic environment. The conductivity of the liquid sample is determined, the chemical indicator element is exposed to the liquid sample, an optical reading is measured from the chemical indicator, and the optical reading is corrected using the conductivity. The temperature of the liquid sample may be utilized to correct the conductivity prior to correcting the optical reading. The temperature of an optical reader used to measure the optical reading may be utilized to correct the optical reading.

Claim (Index 1):
A method of determining the level of a constituent in an aquatic environment, the method comprising:\n providing a liquid sample of the aquatic environment for analysis; determining the conductivity of the liquid sample; exposing a chemical indicator of a chemical indicator element to the liquid sample; measuring an optical reading from the chemical indicator; and correcting the optical reading using the conductivity of the liquid sample.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 99.0
- Lexical Diversity: 2.63265
- Patent Class: 436.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14895980', '14959063', '14959073', '15445453', '13713864']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6198288814370712
- 35 USC 102 Novelty (BERT): 0.4940799273483647
- Combined Prediction Score: 0.6072539860282005
- Mean Citation Score: 216.519286
- Max Citation Score: 266.99326
- Similarity Product: 208.72976920809032

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test