PATENT CLAIM ANALYSIS

Application Number: 15948944
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["436", "086000"]

Abstract:
A method and system are provided for detecting the concentration of an analyte in a fluid sample. The method and system involve analysis of a volatilized, ionized fluid sample using a mass spectrometer or other ionic analyte detection device that provides a signal proportional in intensity to the quantity of ionized analyte detected. The improvement involves replacement of a necessary non-analyte component in the fluid sample with a substitute component that serves the same purpose as the original component but is either more volatile than the original component and/or the analyte or undergoes a reaction to provide lower molecular weight reaction products, and results in an increased intensity in signal and signal-to-noise ratio. Acoustic fluid ejection is a preferred method of generating nanoliter-sized droplets of fluid sample that are then volatilized, ionized, and analyzed. Also provided are zwitterionic compounds suitable as the substitute components that when ionized and heated decompose to provide carbonic dioxide, a nitrogenous species such as ammonia, an amine, or nitrogen gas, and a volatile aromatic compound.

Claim (Index 12):
The method of  claim 1 , wherein the analyte is a biomolecule.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 91.0
- Lexical Diversity: 1.86735
- Patent Class: 436.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14887320', '11041999', '10379379', '15330635', '11272450']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6742174928840202
- 35 USC 102 Novelty (BERT): 0.5654051181898293
- Combined Prediction Score: 0.6633362554146011
- Mean Citation Score: 245.316076
- Max Citation Score: 470.93735
- Similarity Product: 416.6851787390648

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