PATENT CLAIM ANALYSIS

Application Number: 15767772
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["424", "499000"]

Abstract:
The present invention provides a method of preparing highly stable microcapsule powders or microparticles containing a fat-soluble nutrient having multiple double bonds. The method includes a) dissolving the fat-soluble nutrient having multiple unsaturated double bonds to prepare an oil phase; b) dissolving a part of a capsule shell material into water to prepare an aqueous phase; c) shearing the aqueous phase and the oil phase, and mixing and emulsifying the same to obtain an emulsion; d) homogenizing the emulsion by a standard high-pressure homogenizer, to make the emulsion obtain droplets in the emulsion with an average particle diameter at a nanometer level, thereby producing a nanometer scale emulsion; e) directly adding a remaining part of the capsule shell material into the homogenized nanometer scale emulsion, and shearing, mixing, and dissolving the same to obtain a twice-embedded emulsion; and f) performing spray granulation on the twice-embedded emulsion, and drying resultant granules to obtain the highly stable microcapsule powder or microparticles.

Claim (Index 6):
The method according to  claim 1 , wherein the aqueous phase or the oil phase further comprises an antioxidant.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 91.0
- Lexical Diversity: 2.13095
- Patent Class: 424.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12924428', '12741565', '14884694', '11263360', '11500545']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7481851042646018
- 35 USC 102 Novelty (BERT): 0.4820569897410371
- Combined Prediction Score: 0.7215722928122454
- Mean Citation Score: 176.830636
- Max Citation Score: 185.78735
- Similarity Product: 134.60146234965322

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