PATENT CLAIM ANALYSIS

Application Number: 16074524
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["570", "136000"]

Abstract:
The present invention provides a method for producing tetrafluoropropene represented by formula (1) by bringing monochlorotrifluoropropene represented by formula (2) into contact with anhydrous hydrogen fluoride in the presence of a catalyst, the method being capable of maintaining the conversion of the starting material and the selectivity for the target product within an excellent range, while reducing degradation of the catalyst to maintain the reaction for a long time. The invention specifically relates to a method for producing tetrafluoropropene represented by formula (1) CF 3 CX═CHX wherein Xs are different from each other and represent H or F, including the step of bringing an organic substance containing monochlorotrifluoropropene represented by formula (2) CF 3 CY═CHY wherein Ys are different from each other and represent H or Cl into contact with anhydrous hydrogen fluoride in the presence of a catalyst in a reactor, wherein the amount of the anhydrous hydrogen fluoride supplied to the reactor is 30 moles or more per mole of the organic substance supplied to the reactor.

Claim (Index 13):
The production method according to  claim 10 , wherein the amount of the oxidizing agent supplied to the reactor is 0.0001 to 0.5 moles per mole of the organic substance supplied to the reactor.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 96.0
- Lexical Diversity: 2.12791
- Patent Class: 570.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15618259', '14348705', '14778631', '13879668', '14358101']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6839590020276533
- 35 USC 102 Novelty (BERT): 0.517078940427277
- Combined Prediction Score: 0.6672709958676156
- Mean Citation Score: 257.456122
- Max Citation Score: 266.40564
- Similarity Product: 194.3516308151436

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

Dataset: test