PATENT CLAIM ANALYSIS

Application Number: 15741995
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["424", "501000"]

Abstract:
A process for preparing poly(lactide-co-glycolide) copolymer particles with an average particle size in the range of 50-800 nm includes transferring a mixture of poly(lactide-co-glycolide) copolymer, ethanol and carbon dioxide from a first reactor into a second reactor under rapid reduction of the pressure and expansion with phase separation into a gas phase, an ethanol aerosol and an ethanolic suspension containing poly(lactide-co-glycolide) copolymer particles, removing the carbon dioxide gas and the ethanol aerosol from the second reactor, and obtaining the poly(glycolide-co-lactide) copolymer particles in the form of an ethanolic suspension or in dry form from the second reactor.

Claim (Index 16):
A device for carrying out a process according to  claim 1 , the device comprising:\n a first reactor and a second reactor, an apparatus operable for mixing, cooling, heating, and pressuring carbon dioxide and ethanol and feeding the same into the first reactor, and an apparatus operable for transferring the mixture of carbon dioxide, ethanol and poly(lactide-co-glycolide) copolymer particles into the second reactor, wherein the second reactor is an aero cyclone.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 86.0
- Lexical Diversity: 2.11111
- Patent Class: 424.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15314343', '15524412', '09308435', '12739588', '13462395']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.721131221607089
- 35 USC 102 Novelty (BERT): 0.5052195429816247
- Combined Prediction Score: 0.6995400537445426
- Mean Citation Score: 221.172008
- Max Citation Score: 237.96347000000003
- Similarity Product: 149.78984202662355

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