PATENT CLAIM ANALYSIS

Application Number: 15861926
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["508", "421000"]

Abstract:
The present disclosure relates to conveyor lubricant compositions including an emulsion. The present disclosure also relates to methods of employing such lubricant compositions. In an embodiment, the methods include applying the present lubricant composition to a conveyor with a non-energized nozzle. In an embodiment, the methods include applying the present lubricant composition in a “semi-dry” mode.

Claim (Index 13):
A method for lubricating the passage of a container along a conveyor comprising:\n (a) providing a lubricant concentrate comprising\n i) a water insoluble oil with a viscosity greater than about 300 centipoise; and \n ii) an emulsifier; \n (b) diluting the lubricant concentrate with water to form a lubricant use composition, the lubricant use composition comprising:\n i) the water insoluble oil; \n ii) from about 0 to about 0.35% of the emulsifier; and \n iii) from about 99.3 to about 99.99% water; and \n (c) applying the lubricant use composition to at least a portion of the container-contacting surface of the conveyor or to at least a portion of a conveyor-contacting surface of the container, wherein the lubricant use composition is applied for a period of time and not applied for a period of time and the ratio of not applied:applied time is between 2:1 and 32:1.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 86.0
- Lexical Diversity: 1.93939
- Patent Class: 508.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13240096', '15150880', '14216418', '11854237', '15492459']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8426386805342516
- 35 USC 102 Novelty (BERT): 0.6043359090103904
- Combined Prediction Score: 0.8188084033818656
- Mean Citation Score: 310.0709080000001
- Max Citation Score: 351.08282
- Similarity Product: 294.53422786524897

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