PATENT CLAIM ANALYSIS

Application Number: 16107362
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["524", "046000"]

Abstract:
The invention relates to a method to reduce or prevent agglomeration of polyisobutylene particles in aqueous media by LCST compounds and highly pure isobutylenes obtained thereby. The invention further relates to polyisobutylene products comprising the same or derived therefrom.

Claim (Index 72):
Polyisobutylene particles prepared by a process comprising:\n A) contacting an organic medium comprising\n i) polyisobutylene and \n ii) an organic diluent \n with an aqueous medium comprising an LCST compound having a cloud point of 0 to 10\u00b0 C., B) removing at least partially the organic diluent to obtain the aqueous slurry comprising the polyisobutylene particles, C) separating the polyisobutylene particles contained in the aqueous slurry obtained in B), to obtain isolated polyisobutylene particles, and D) optionally, drying the isolated polyisobutylene particles, wherein the organic medium is prepared by a process comprising: a) providing a reaction medium comprising an organic diluent, and isobutylene b) polymerizing the isobutylene within the reaction medium in the presence of an initiator system or catalyst to form an organic medium comprising the polyisobutylene, the organic diluent, and optionally residual isobutylene.

Metadata:
- Claim Count in Document: 236.0
- Percentile: 96.0
- Lexical Diversity: 1.24242
- Patent Class: 524.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15106552', '15107324', '15322474', '15322673', '15107495']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.846955492419833
- 35 USC 102 Novelty (BERT): 0.504348029881612
- Combined Prediction Score: 0.8126947461660109
- Mean Citation Score: 304.39584
- Max Citation Score: 321.65323
- Similarity Product: 279.22549697823644

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