PATENT CLAIM ANALYSIS

Application Number: 15763459
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-10
Patent Classification: ["162", "010000"]

Abstract:
The invention relates to the technology for the production of celluloses having improved properties and increased reactivity, and can be used in their chemical processing, including finished batches for the production of nitrocellulose and other products. A method for improving the quality and reactivity of cellulose comprises the following steps: impregnating and hydrolyzing the cellulose in a hydrolysis solution, filtering it from the hydrolysis solution, washing it with squeezing and drying. Moreover, the stages of impregnation and hydrolysis of cellulose in hydrolysis solution, filtration from hydrolysis solution, washing, squeezing and drying are carried out with simultaneous thermovacuum-impulse action by cycles, each of which includes the heating of cellulose to a temperature of not more than 115° C., high-speed impulse action of vacuum for time of less than 10 seconds, followed by exposure of the cellulose under vacuum and vacuum relief. The method allows improving the quality of cellulose, including its reactivity.

Claim (Index 4):
The method of  claim 1 , wherein high-speed impulse action of vacuum is produced from a receiver with a high-speed valve.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 90.0
- Lexical Diversity: 1.93103
- Patent Class: 162.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12305110', '12305069', '13634933', '13634961', '15454242']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6389234878269177
- 35 USC 102 Novelty (BERT): 0.4949141978278413
- Combined Prediction Score: 0.62452255882701
- Mean Citation Score: 116.31172700000002
- Max Citation Score: 118.08882
- Similarity Product: 64.86934390579819

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

Dataset: test