PATENT CLAIM ANALYSIS

Application Number: 16388124
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-10
Patent Classification: ["568", "490000"]

Abstract:
An efficient process for preparing (9E,11Z)-9,11-hexadecadienal of formula (4) is provided. The process includes at least steps of: conducting a nucleophilic substitution reaction between an (8E,10Z)-8,10-pentadecadienyl magnesium halide derived from an (8E,10Z)-1-halo-8,10-pentadecadiene of (1): and an orthoformate ester (2) to thereby prepare a (9E, 11Z)-1,1-dialkoxy-9, 11-hexadecadiene (3): and hydrolyzing the (9E, 11Z)-1,1-dialkoxy-9,11-hexadecadiene (3) to obtain (9E, 11Z)-9,11-hexadecadienal (4).

Claim (Index 2):
The process for preparing (9E,11Z)-9,11-hexadecadienal according to  claim 1 , further comprising steps of:\n conducing a coupling reaction between a (4E,6Z)-4,6-undecadienyl magnesium halide derived from a (4E,6Z)-1-halo-4,6-undecadiene of the following general formula (5): wherein X 1  is a halogen atom, and a 1,4-dihalobutane of the following general formula (6): wherein X may be the same or different at each occurrence and is a halogen atom, to thereby prepare the (8E,10Z)-1-halo-8,10-pentadecadiene (1); and\n reacting the (8E,10Z)-1-halo-8,10-pentadecadiene (1) with magnesium to prepare the (8E,10Z)-8,10-pentadecadienyl magnesium halide.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 100.0
- Lexical Diversity: 1.83019
- Patent Class: 568.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15951765', '15014598', '12290603', '14358501', '14400198']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5943763869497526
- 35 USC 102 Novelty (BERT): 0.5103582189115805
- Combined Prediction Score: 0.5859745701459355
- Mean Citation Score: 178.05058799999995
- Max Citation Score: 241.11661
- Similarity Product: 179.6674311110377

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