PATENT CLAIM ANALYSIS

Application Number: 15861667
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["073", "579000"]

Abstract:
A sensing sensor includes a main body portion, a piezoelectric resonator, a connecting terminal, and an information storage. The main body portion includes a supply region to which the sample solution is supplied. The piezoelectric resonator is disposed to face the supply region and includes a capturing layer that captures a sensing object. The connecting terminal is configured to attachably/detachably connect a conductive path connected to an electrode of the piezoelectric resonator to a frequency measuring unit. The information storage stores calibration curve information to specify a calibration curve that indicates a relationship between a density of the sensing object and a frequency variation amount of the piezoelectric resonator before and after supplying the sample solution.

Claim (Index 5):
A sensing method using the sensing sensor, the frequency measuring unit and the information processing device according to  claim 4 , the sensing method comprising:\n obtaining the calibration curve information in the information storage and specifying the calibration curve; connecting the sensing sensor to the frequency measuring unit and obtaining the frequency variation amount of the piezoelectric resonator before and after supplying the sample solution; and obtaining the density of the sensing object in the sample solution from the frequency variation amount and the calibration curve specified by the calibration curve information.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 86.0
- Lexical Diversity: 2.10169
- Patent Class: 73.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15438766', '15511233', '12802833', '14497349', '12802472']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6938805105965127
- 35 USC 102 Novelty (BERT): 0.4902533467506905
- Combined Prediction Score: 0.6735177942119305
- Mean Citation Score: 194.407072
- Max Citation Score: 206.82066
- Similarity Product: 140.04214028419378

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

Dataset: test