PATENT CLAIM ANALYSIS

Application Number: 16062716
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["562", "554000"]

Abstract:
The present invention discloses a γ-aminobutyric acid hemihydrate crystal, its molecular formula is C 4 H 9 NO 2 .0.5H 2 O. It also discloses a method of preparing a γ-aminobutyric acid hemihydrate crystal, including first adding crude γ-aminobutyric acid to water to prepare a γ-aminobutyric acid suspension at an initial concentration of 1.2-2.0 g/mL; then stirring the suspension at a constant temperature of 5-10° C. for 6-12 hours, followed by filtering and drying to obtain the γ-aminobutyric acid hemihydrate crystal. The γ-aminobutyric acid hemihydrate crystal is stable, does not easily absorb moisture and agglomerate, and is convenient for further processing and use. The crystal has a large main particle size, uniform particle size distribution, high bulk density, good flowability, and a purity of ≥99%. The preparation method of the crystal according to the present invention is simple, easy to operate, highly efficient and low in energy consumption, and is suitable for large-scale industrial production.

Claim (Index 8):
The method of preparing the \u03b3-aminobutyric acid hemihydrate crystal according to  claim 6 , wherein the drying in step S2 is drying at a temperature between 20-35\u00b0 C. and a vacuum between 0-0.08 MPa for 8-12 hours.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 94.0
- Lexical Diversity: 1.74
- Patent Class: 562.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16078008', '15107032', '15542602', '13572367', '11688644']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6600572941189397
- 35 USC 102 Novelty (BERT): 0.554338103615147
- Combined Prediction Score: 0.6494853750685604
- Mean Citation Score: 243.05503400000003
- Max Citation Score: 390.27954
- Similarity Product: 294.4563178110945

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