PATENT CLAIM ANALYSIS

Application Number: 15753621
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-08
Patent Classification: ["250", "42300F"]

Abstract:
The present invention comprises novel methods of continuously monitoring the performance of an atmospheric pressure ionization (API) system. The methods of the invention allow for improved quality monitoring of the processes that leads to the formation of ions at atmospheric pressure. The methods of the invention further allow for continuously monitoring for the quality of the ion formation process in API without the addition of extraneous material (such as labelled compounds or control known compounds) to the system being monitored.

Claim (Index 23):
A computer implemented method for discretely or continuously evaluating an API dependent process for matrix effects, the method comprising at least one of the following:\n (a) comparing the abundance as predicted by a control measurement or modeling experiment, and the abundance as indicated by an instrument readout for at least one cluster ion generated during operation of the API system; (b) comparing the presence or absence as predicted by a control measurement or modeling experiment, and the presence or absence as indicated by an instrument readout for at least one cluster ion species that may be generated during operation of the API system; (c) comparing the abundance, presence and/or absence of cluster ion patterns comprised of time, m/z, intensity, ion mobility, charge state, or any subset thereof, as predicted by a control measurement or modeling experiment, and the abundance, presence and/or absence of cluster ion patterns as indicated by an instrument readout.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 88.0
- Lexical Diversity: 1.8125
- Patent Class: 250.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['11672101', '15406626', '15330635', '12300190', '15327128']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7168721136427356
- 35 USC 102 Novelty (BERT): 0.5086519758948628
- Combined Prediction Score: 0.6960500998679483
- Mean Citation Score: 266.625824
- Max Citation Score: 277.6219
- Similarity Product: 179.9506697429478

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