PATENT CLAIM ANALYSIS

Application Number: 16314753
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["540", "469000"]

Abstract:
Mitochondria-targeting potassium sensors and method(s) for making such sensors. The sensor shows a response to potassium and displays a 130-fold dynamic range of fluorescence intensity and high brightness. The sensors response to potassium concentrations was demonstrated to be unaffected by cellular pH value and/or concentrations of other ions. The sensors can be used for monitoring the mitochondrial potassium efflux/influx.

Claim (Index 23):
A method of synthesizing a compound comprising a formula (II): the method comprising: mixing 4-(6-Bromohexyloxy)-benzaldehyde and triphenylphosphine to obtain a first solid; mixing the first solid and 2,4-dimethylpyrrole under nitrogen to obtain a first mixture; adding dichloromethane and trifluoroacetic acid to the first mixture to obtain a second mixture; stirring the second mixture at room temperature; adding p-chloranil, trimethylamine, and boron trifluoride diethyl etherate (BF 3 OEt 2 ) to the second mixture to obtain a third mixture; separating an organic phase from the third mixture to obtain a second solid; refluxing the second solid with TAC-CHO in a fourth mixture of benzene, acetic acid, and piperidine to obtain a fifth mixture; and separating an organic layer of the fifth mixture to obtain said compound.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 99.0
- Lexical Diversity: 1.46667
- Patent Class: 540.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13985260', '13980946', '14118053', '15755175', '14783456']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6664985908061275
- 35 USC 102 Novelty (BERT): 0.5067608361642131
- Combined Prediction Score: 0.6505248153419361
- Mean Citation Score: 225.40770000000003
- Max Citation Score: 253.38112
- Similarity Product: 176.28858471984864

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

Dataset: test