PATENT CLAIM ANALYSIS

Application Number: 15870524
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["568", "918000"]

Abstract:
In various aspects, methods and apparatuses for liquid-liquid extraction are provided. In certain aspects, an emulsion can be formed by combining a feed stream, an extractant, and a surfactant. The feed stream comprises a plurality of distinct components including a first component to be removed therefrom. The feed stream may be selected from a group consisting of: a hydrocarbon feed stream and an azeotrope. Then, a portion of the first component is extracted from the feed stream (or emulsion) by contact with a superoleophobic and hygroscopic membrane filter that facilitates passage of the first component and extractant through the superoleophobic and hygroscopic membrane filter. A purified product is collected having the portion of the first component removed. Such methods are particularly useful for refining fuels and oils and separating azeotropes and other miscible component systems. Energy-efficient, continuous single unit operation apparatuses for conducting such separation techniques are also provided.

Claim (Index 4):
The method of  claim 1 , wherein the feed stream comprises a plurality of distinct components including the first component and a second component, wherein the first component comprises a polar molecule and the second component comprises a non-polar molecule.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 86.0
- Lexical Diversity: 1.84444
- Patent Class: 568.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15027983', '14401778', '13006342', '10387697', '13159950']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6783048839420847
- 35 USC 102 Novelty (BERT): 0.6482020849178932
- Combined Prediction Score: 0.6752946040396655
- Mean Citation Score: 270.43698800000004
- Max Citation Score: 583.918
- Similarity Product: 581.4923543450832

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

Dataset: test