PATENT CLAIM ANALYSIS

Application Number: 16073305
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-02
Patent Classification: ["424", "600000"]

Abstract:
One solid preparation of the present invention mainly includes silicon fine particles, and has a capability of generating hydrogen. In addition, one specific example of the solid preparation mainly includes silicon fine particles having a crystallite diameter principally of 1 nm or more and 100 nm or less, and exhibits a capability of generating hydrogen in an amount of 3 ml/g or more when brought into contact with a water-containing liquid having a pH value of 7 or more. In this solid preparation, hydrogen is generated when the silicon fine particles are brought into contact with a water-containing liquid having a pH value of 7 or more. Therefore, taking advantage of the characteristics of the solid preparation, generation of hydrogen is promoted in, for example, a gastrointestinal tract where the pH value is 7 or more due to secretion of pancreatic fluid after passage through the stomach after oral ingestion.

Claim (Index 9):
The method for producing a solid preparation according to  claim 8 , wherein the physical grinding method is selected from a bead mill grinding method, a planetary ball mill grinding method, a jet mill grinding method, and a combination thereof.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 95.0
- Lexical Diversity: 2.13158
- Patent Class: 424.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12745851', '13062389', '15584935', '13629286', '12084824']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7140261147746587
- 35 USC 102 Novelty (BERT): 0.4903115299637828
- Combined Prediction Score: 0.6916546562935711
- Mean Citation Score: 146.65247599999995
- Max Citation Score: 152.89168
- Similarity Product: 96.23257732181548

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