PATENT CLAIM ANALYSIS

Application Number: 15980932
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["570", "254000"]

Abstract:
Methods for the manufacture of 1,1,1,2,3-pentachloropropane from 1,1,1,3-tetrachloropropane and chlorine are disclosed. Improved methods are provided for the manufacture of 1,1,2,3-tetrachloropropene from 1,1,1,2,3-pentachloropropane. Methods are also disclosed for the manufacture of 1,1,2,3-tetrachloropropene from 1,1,1,3-tetrachloropropane and chlorine and for the manufacture of 1,1,2,3-tetrachloropropene from carbon tetrachloride, ethylene, and chlorine.

Claim (Index 12):
A process for the manufacture of 1,1,2,3-tetrachloropropene, the process comprising:\n (i) reacting 1,1,1,3-tetrachloropropane with chlorine in the presence of ferric chloride and carbon tetrachloride to produce crude 1,1,1,2,3-pentachloropropane, where the carbon tetrachloride is present in an amount of from 3 to 30 wt %, where the ratio of chlorine to 1,1,1,3-tetrachloropropane is carefully controlled to achieve the desired reaction between 1,1,1,3-tetrachloropropane and chlorine; (ii) feeding the crude 1,1,1,2,3-pentachloropropane into a reaction zone, to transform the crude 1,1,1,2,3-pentachloropropane into 1,1,2,3-tetrachloropropene and hydrogen chloride by dehydrochlorination, where the reaction zone is maintained at a temperature such that at least a portion of the 1,1,2,3-tetrachloropropene and hydrogen chloride move from the reaction zone during the course of the dehydrochlorination reaction to a separation zone; and (iii) collecting 1,1,2,3-tetrachloropropene.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 93.0
- Lexical Diversity: 2.40909
- Patent Class: 570.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13272561', '12337409', '13588240', '15493908', '14827367']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8017649808139451
- 35 USC 102 Novelty (BERT): 0.6562555264906187
- Combined Prediction Score: 0.7872140353816125
- Mean Citation Score: 676.4125200000002
- Max Citation Score: 686.8443599999998
- Similarity Product: 583.8835524711083

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