PATENT CLAIM ANALYSIS

Application Number: 15881170
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["562", "519000"]

Abstract:
A carbon nitride heterogeneous catalyst containing rhodium, a method for preparing the catalyst, and a method for preparing acetic acid using the catalyst is disclosed. The heterogeneous catalyst is characterized in that the rhodium metal is contained in carbon nitride which is a support insoluble in a liquid solvent, such as water or alcohol. Thus, the catalyst can easily be separated from a resulting product even by a simple process such as filtration. Accordingly, the carbon nitride heterogeneous catalyst exhibits excellent long-term stability and activity by being capable of overcoming the disadvantages of the method using a conventional homogeneous catalyst and minimizing the phenomenon of rhodium leaching, compared to the results of the conventional homogeneous catalytic reactions. The catalyst can thus be effectively used for the preparation of acetic acid by a carbonylation reaction between methanol and carbon monoxide.

Claim (Index 8):
The method of  claim 6 , wherein the carbon nitride is at least one kind selected from the group consisting of graphite carbon nitride, \u03b1-carbon nitride, \u03b2-carbon nitride, cubic carbon nitride, and pseudocubic carbon nitride.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 1.89873
- Patent Class: 562.0
- Transitional Phrase Type: closed
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15540497', '11578718', '11903237', '10434596', '15540857']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7534496647860643
- 35 USC 102 Novelty (BERT): 0.5111212590474647
- Combined Prediction Score: 0.7292168242122044
- Mean Citation Score: 221.75647400000005
- Max Citation Score: 257.9316
- Similarity Product: 169.63066765372753

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

Dataset: test