PATENT CLAIM ANALYSIS

Application Number: 16410480
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-08
Patent Classification: ["702", "179000"]

Abstract:
A method for identifying the presence of at least one adulterant substance in a sample. The method comprises receiving sets of sample spectral data, reference spectral data, validation spectral data each set for a respective validation example, and adulterant substance spectral data for said at least one adulterant substance. From these residue data which is representative of a residue which would remain after performing a least squares fitting process between the sample spectral data and the reference spectral data is determined and modified sample residue data which is representative of a residue which would remain after performing a least squares fitting process between the sample spectral data, the reference spectral data and the adulterant substance spectral data is determined. The corresponding two residue data sets are also determined for each validation example. The method then includes performing least one comparison amongst the sample residue data, the modified sample residue data, the validation residue data, and the modified validation residue data; and determining a likelihood value for the presence of said at least one adulterant substance in said sample in dependence on said at least one comparison; and outputting said likelihood value.

Claim (Index 47):
A spectrometer arranged for identifying the presence of at least one adulterant substance in a physical sample, the spectrometer comprising:\n an analysis module to acquire, determine or receive (i) acquire a set of sample spectral data for a physical sample at an analysis module of the spectrometer, (ii) a set of reference spectral data, (iii) a plurality of sets of validation spectral data, each set for a respective validation example, (iv) a set of adulterant substance spectral data for said at least one adulterant substance; a spectral data processor executing on the analysis module to:\n a) determine \n (i) sample residue data which is representative of a residue which would remain after performing a least squares fitting process between the sample spectral data and the reference spectral data; \n (ii) modified sample residue data which is representative of a residue which would remain after performing a least squares fitting process between the sample spectral data, the reference spectral data and the adulterant substance spectral data; \n (iii) for each validation example, validation residue data which is representative of a residue which would remain after performing a least squares fitting process between the validation spectral data for the respective example and the reference spectral data; and \n (iv) for each validation example, modified validation residue data which is representative of a residue which would remain after performing a least squares fitting process between the validation spectral data for the respective example, the reference spectral data and the adulterant substance spectral data; \n b) perform at least one comparison amongst the sample residue data, the modified sample residue data, the validation residue data, and the modified validation residue data; \n c) determine a likelihood value for the presence of said at least one adulterant substance in said sample in dependence on said at least one comparison; and \n d) output said likelihood valve.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 100.0
- Lexical Diversity: 3.30645
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14913782', '10937248', '14420101', '15486333', '15986918']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1551404720563586
- 35 USC 102 Novelty (BERT): 0.6328840224888517
- Combined Prediction Score: 0.2029148270996079
- Mean Citation Score: 259.145544
- Max Citation Score: 587.3242
- Similarity Product: 548.288665397954

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

Dataset: test