PATENT CLAIM ANALYSIS

Application Number: 15778101
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-12
Patent Classification: ["502", "201000"]

Abstract:
A process for the synthesis of linear paraffinic hydrocarbons from a feed of carbon monoxide and dihydrogen in the presence of a catalyst of a mesoporous oxide matrix and a content by weight of the element cobalt of 0.5% to 60%, wherein the catalyst is prepared by a) mixing, in an aqueous or hydro-organic solvent, a molecular precursor containing cobalt and a molecular precursor of the mesoporous oxide matrix containing element X of silicon, aluminium, titanium, zirconium and or cerium; b) aerosol spray drying the mixture to form spherical liquid droplets; c) drying to obtain solid particles at a temperature of 10° C. to 300° C.; d) activation by a reduction treatment to form nanoparticles of cobalt with an oxidation state of 0.

Claim (Index 8):
The process as claimed in  claim 6 , in which said preparation process comprises a step c\u2032) for hydrothermal treatment of the solid particles obtained from step c1) and carried out upstream of step d), in steam at a temperature in the range 110\u00b0 C. to 900\u00b0 C. preferably for a period of 30 minutes to 12 hours and with an air/steam mixture, said mixture comprising in the range 2% to 80% (molar) of water in the form of steam.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 93.0
- Lexical Diversity: 1.7375
- Patent Class: 502.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15778508', '15210062', '12515862', '12994198', '12993932']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7599490505494537
- 35 USC 102 Novelty (BERT): 0.5250884350314983
- Combined Prediction Score: 0.7364629889976582
- Mean Citation Score: 226.502092
- Max Citation Score: 337.497
- Similarity Product: 257.55684465157987

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