PATENT CLAIM ANALYSIS

Application Number: 16069506
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-02
Patent Classification: ["250", "291000"]

Abstract:
Improvements to a side-on Penning trap include methods to stabilize ions in the trap. The ions are stabilized by injecting ions in the focusing region of the non-uniform DC fields produced by the pad electrodes of the trap. Ions are injected along an injection axis shifted from the central axis of a gap between a positively biased electrode pad and negatively biased electrode pad of the trap. Improvements also include methods to compensate for the Lorentz force that is produced when ions are injected into a side-on Penning trap. Electrodes of an ion injection device are DC biased so that the electrodes produce an electric field along the axis of the device that compensates for the Lorentz force. Finally, methods are provided to increase the m/z range of ions injected into a side-on Penning trap by pre-trapping ions just before injection of the ions into the trap.

Claim (Index 8):
The side-on injection Penning trap of  claim 5 , wherein after the predetermined time period, the central electrode of the third set of electrodes and the fourth set of electrodes is biased with a higher voltage that the two outer electrodes of the third set of electrodes and the fourth set of electrodes to also inject the pre-trapped ions pulse-wise at the same time into the cylindrical gap.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 95.0
- Lexical Diversity: 2.23188
- Patent Class: 250.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15773720', '12149544', '15531367', '15504251', '10453408']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7152920333954719
- 35 USC 102 Novelty (BERT): 0.5626651322268023
- Combined Prediction Score: 0.7000293432786049
- Mean Citation Score: 304.317532
- Max Citation Score: 474.10382
- Similarity Product: 306.162934443599

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