PATENT CLAIM ANALYSIS

Application Number: 15934294
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["205", "781500"]

Abstract:
A potentiometric ion selective electrode for detecting ionized magnesium is disclosed that exhibits improved stability upon exposure to surfactant-containing reagents. Kits containing same are also disclosed, along with methods of production and use thereof.

Claim (Index 7):
A potentiometric ion selective electrode that detects ionized magnesium in a biological sample containing Ca 2+  and Mg 2+ , the potentiometric ion selective electrode comprising:\n an ionophore having a tripodal stereochemical structure, the ionophore being represented by the structure of Formula II: \n a lipophilic borate salt, wherein the lipophilic borate salt is present in an amount that provides a mol ratio of lipophilic borate salt to ionophore in a range of from about 75 mol % to about 100 mol %; and a polymer matrix in which the ionophore and lipophilic borate salt are disposed, wherein the polymer matrix comprises a polymer and a plasticizer; wherein the potentiometric ion selective electrode is more selective to Mg 2+  than to Ca 2+ ; and wherein the potentiometric ion selective electrode is substantially stable upon exposure to a reagent comprising a poly(ethylene oxide) surfactant.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 90.0
- Lexical Diversity: 1.05714
- Patent Class: 205.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15303843', '14405923', '13059671', '10887251', '10384097']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6817690196108638
- 35 USC 102 Novelty (BERT): 0.7331577808486215
- Combined Prediction Score: 0.6869078957346395
- Mean Citation Score: 399.805104
- Max Citation Score: 889.87604
- Similarity Product: 788.7215043103838

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