PATENT CLAIM ANALYSIS

Application Number: 16074665
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-01
Patent Classification: ["209", "016000"]

Abstract:
A method for modifying a fine particle dispersion liquid with which dispersibility and dispersion stability can be improved includes performing filtration to remove impurities in a dispersion liquid using a dispersion liquid modifying device provided with a removal unit that uses a filtration membrane. The quantity of impurities is reduced from a first region until said quantity reaches a second pH-dependent region. In the second pH-dependent region, the dispersibility of the fine particles in the dispersion liquid is in a range in which the dispersibility depends more on a change in dispersion liquid pH than on a change in the quantity of impurities in the dispersion liquid. With the quantity of impurities reduced to the second pH-dependent region, the dispersibility of the fine particles is controlled by adjusting the pH of the fine particle dispersion liquid.

Claim (Index 15):
The method for reforming the fine particle dispersion solution according to  claim 4 , wherein\n after a process to remove the impurities by the filtration membrane, a concentration process to concentrate the fine particles in the fine particle dispersion solution to a concentration range of 0.1 to 15.0% by weight by the filtration membrane.

Metadata:
- Claim Count in Document: 24.0
- Percentile: 96.0
- Lexical Diversity: 2.32787
- Patent Class: 209.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12574217', '10565576', '15527986', '13979060', '13142181']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6714178422848027
- 35 USC 102 Novelty (BERT): 0.4951296477584601
- Combined Prediction Score: 0.6537890228321684
- Mean Citation Score: 194.339304
- Max Citation Score: 205.11281
- Similarity Product: 133.38883900837243

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

Dataset: test