PATENT CLAIM ANALYSIS

Application Number: 15884215
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-06
Patent Classification: ["435", "006120"]

Abstract:
The present invention generally relates to droplets and/or emulsions, such as multiple emulsions. In some cases, the droplets and/or emulsions may be used in assays, and in certain embodiments, the droplet or emulsion may be hardened to form a gel. In some aspects, a heterogeneous assay can be performed using a gel. For example, a droplet may be hardened to form a gel, where the droplet contains a cell, DNA, or other suitable species. The gel may be exposed to a reactant, and the reactant may interact with the gel and/or with the cell, DNA, etc., in some fashion. For example, the reactant may diffuse through the gel, or the hardened particle may liquefy to form a liquid state, allowing the reactant to interact with the cell. As a specific example, DNA contained within a gel particle may be subjected to PCR (polymerase chain reaction) amplification, e.g., by using PCR primers able to bind to the gel as it forms. As the DNA is amplified using PCR, some of the DNA will be bound to the gel via the PCR primer. After the PCR reaction, unbound DNA may be removed from the gel, e.g., via diffusion or washing. Thus, a gel particle having bound DNA may be formed in one embodiment of the invention.

Claim (Index 4):
The method of  claim 1 , wherein said fluidic droplet comprises a nucleic acid.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 86.0
- Lexical Diversity: 2.55102
- Patent Class: 435.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12529926', '15670977', '14721558', '15449637', '15792218']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.670866438360467
- 35 USC 102 Novelty (BERT): 0.537816611102429
- Combined Prediction Score: 0.6575614556346632
- Mean Citation Score: 281.9805780000001
- Max Citation Score: 292.50302
- Similarity Product: 240.06766881783008

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

Dataset: test