PATENT CLAIM ANALYSIS

Application Number: 16057530
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["549", "265000"]

Abstract:
The present invention is directed to processes from producing beta-lactone and beta-lactone derivatives using heterogenous catalysts. In preferred embodiments of the present invention, the processes comprise the steps: passing a feed stream comprising an epoxide reagent and a carbon monoxide reagent to a reaction zone; contacting the epoxide reagent and the carbon monoxide reagent with a heterogenous catalyst to produce a beta-lactone product in the reaction zone; and removing the beta-lactone product from the reaction zone. In preferred embodiments, the heterogenous catalyst comprises a solid support containing a cationic Lewis acid functional group and a metal carbonyl compound comprising at least one of anionic metal carbonyl compound or a neutral metal carbonyl compound. In certain preferred embodiments, the epoxide reagent and carbon monoxide reagent have a biobased content.

Claim (Index 8):
The process of  claim 1 , wherein the Lewis acid functional group comprises at least one Lewis acidic metal complex selected from the group consisting of Zn(II), Cu(II), Mn(II), Co(II), Ru(II), Fe(II), Co(II), Rh(II), Ni(II), Pd(II), Mg(II), Al(III), Cr(III), Fe(III), Co(III), Ti(III) In(III), Ga(III), Mn(III), Ti(IV) and Cr(IV).

Metadata:
- Claim Count in Document: 1.0
- Percentile: 96.0
- Lexical Diversity: 2.0597
- Patent Class: 549.0
- Transitional Phrase Type: closed
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15674453', '16023136', '14353532', '14275139', '13262985']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7869639855944464
- 35 USC 102 Novelty (BERT): 0.5546683488759145
- Combined Prediction Score: 0.7637344219225931
- Mean Citation Score: 308.210086
- Max Citation Score: 426.1033
- Similarity Product: 369.5892233358741

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test