PATENT CLAIM ANALYSIS

Application Number: 15981031
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["152", "548000"]

Abstract:
The present invention provides an automotive tire containing from 0.1 wt % to 50 wt % hydrophobic nanocellulose. Hydrophobic nanocellulose may include lignin-coated nanocellulose and/or a chemically modified surface to increase hydrophobicity. The nanocellulose may include cellulose nanofibrils and/or cellulose nanocrystals. The nanocellulose may be introduced into tire components such as inner liner, body ply, sidewall, beads, apex, belts, treads, cushion gum, and textile fabric. The nanocellulose may be obtained from a biomass-fractionation process utilizing an acid catalyst, a solvent for lignin, and water to generate a lignin-containing nanocellulose precursor, followed by mechanical treatment of the nanocellulose precursor to produce the nanocellulose. For example, the nanocellulose may be obtained from the AVAP® process. The tire may further include one or more additional components derived from lignocellulosic biomass. For example, the tire may contain lignin-derived carbon black, lignin-derived antioxidants, or biomass-derived silica. The tire may also contain synthetic polymers derived from biomass sugars.

Claim (Index 8):
The automotive tire of  claim 1 , wherein said nanocellulose comprises lignin-coated cellulose nanofibrils.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 93.0
- Lexical Diversity: 1.87234
- Patent Class: 152.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14092910', '15281277', '14092906', '15807763', '14746822']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8542983153886223
- 35 USC 102 Novelty (BERT): 0.5328601476582109
- Combined Prediction Score: 0.8221544986155812
- Mean Citation Score: 369.548302
- Max Citation Score: 376.48227
- Similarity Product: 308.9755618131852

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