PATENT CLAIM ANALYSIS

Application Number: 15556109
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["250", "283000"]

Abstract:
The present invention relates to the technical field of mass analysis instruments. Disclosed is an ion excitation method in a linear ion trap. The method comprises: in a linear ion trap, and at an ion collision-induced dissociation stage, simultaneously applying an auxiliary excitation signal in radial X and Y directions thereof; increasing the kinetic energy of ions in the two directions, thereby increasing collisions with a center gas to cause dissociation; and converting the kinetic energy to internal energy to achieve tandem mass spectrometry analysis. The kinetic energy in the X and Y directions of the ion is increased, and compared to a conventional dissociation method in which ions are primarily excited in one direction, more kinetic energy is converted to internal energy, thus improving dissociation efficiency, shortening reaction time, and addressing a low mass cutoff effect in the ion trap.

Claim (Index 7):
The method of  claim 2 , wherein the waveforms applying to the x electrodes and y electrodes can be the same type. In this case, the frequency, amplitude, phase difference of the two AC signals can be the same or different. the phase difference varies from 0 to 360 degrees, but does not include 90 degrees.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 97.0
- Lexical Diversity: 2.0
- Patent Class: 250.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13576294', '10943069', '10487506', '12668813', '14158111']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7465780124378042
- 35 USC 102 Novelty (BERT): 0.513295265951149
- Combined Prediction Score: 0.7232497377891387
- Mean Citation Score: 264.101744
- Max Citation Score: 279.951
- Similarity Product: 172.7705773465634

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

Dataset: test