PATENT CLAIM ANALYSIS

Application Number: 16046012
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["435", "118000"]

Abstract:
The present invention relates to a method of preparing an anthocyanin oligomer using a coenzyme derived from an  Aspergillus  sp. strain, and more particularly to a method of preparing an anthocyanin oligomer by fermenting an anthocyanin monomer with a coenzyme of  Aspergillus niger , which is a kind of  Aspergillus  sp. strain. According to the present invention, in order to overcome contamination problems during the culturing process using  Aspergillus niger , a coenzyme of  Aspergillus niger  is extracted and the fermentation process is performed using the same, whereby an anthocyanin oligomer characterized by reduced concern of contamination and superior radical-scavenging effects, compared to existing anthocyanin monomers, can be produced. Also, an anthocyanin oligomer, obtained through fermentation using glucosidase as an enzyme contained in the coenzyme, can exhibit excellent fermentation efficiency and radical-scavenging ability, and polymerization of the anthocyanin oligomer can be confirmed even upon the fermentation of the enzyme including glucosidase.

Claim (Index 2):
The method of  claim 1 , wherein the  Aspergillus  sp. strain in step (1) is  Aspergillus niger.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 95.0
- Lexical Diversity: 2.2
- Patent Class: 435.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13813031', '14519084', '13698005', '10130150', '13791304']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5964365918751295
- 35 USC 102 Novelty (BERT): 0.476613007604694
- Combined Prediction Score: 0.584454233448086
- Mean Citation Score: 158.42989
- Max Citation Score: 163.20471
- Similarity Product: 115.66585331299784

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