PATENT CLAIM ANALYSIS

Application Number: 15898042
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["250", "339090"]

Abstract:
The present application describes a NIR spectrometer for label-free, rapid, portable and high-precision molecular composition analysis of a sample. The NIR spectrometer is integrated in a lab-on-chip and comprises a broadband NIR source configured to generate NIR light pulses; collimating and focusing objectives; a PDMS chamber mounted on a silicate glass support and designed to be filled with the sample and to receive an NIR light beam from a channel waveguide; the cannel waveguide built in a silicate glass support and configured to transmit the NIR light beam through the sample; an optical spectrum analyser configured to receive the NIR light beam, partially absorbed by the sample, and to measure an output signal intensity of the light beam versus a wavelength of said light beam; optical fibres connecting the components of the NIR spectrometer; and a computing unit.

Claim (Index 16):
In a method for label-free, rapid, portable and high-precision (i) molecular composition analysis of a sample, (ii) chemical or biological sensing, (iii) trace detection of environmentally important analytes, toxins, drugs or explosives, or (iv) chemical identification and quantification of analytes in the sample, the improvement comprises using the NIR spectrometer of  claim 1 .

Metadata:
- Claim Count in Document: 2.0
- Percentile: 88.0
- Lexical Diversity: 1.97368
- Patent Class: 250.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['10890942', '11257219', '11256889', '10392016', '14765242']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6952607325792991
- 35 USC 102 Novelty (BERT): 0.5120758930209519
- Combined Prediction Score: 0.6769422486234644
- Mean Citation Score: 213.270254
- Max Citation Score: 216.93086
- Similarity Product: 126.3866596765208

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

Dataset: test