PATENT CLAIM ANALYSIS

Application Number: 15975313
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["356", "301000"]

Abstract:
There is a need in the point-of-care diagnostic community for an efficient and portable method for testing blood and other biological fluids that can be easily translated across multiple applications. An aspect of the invention described involves monitoring the optical properties of molecularly-mediated nanoparticle assemblies though an optically transparent and magnetically active microfluidic chip, which has recently emerged as an attractive method for biomarker detection as it is an efficient tool for monitoring the binding events that take place in a sensing assay. In one embodiment, this device is directed towards two-nanoparticle assays that rely on the assembly or disassembly of plasmonic and magnetic nanoparticles in response to a certain analyte. A further embodiment is directed to a spiral microfluidic using inertial forces to filter fluid components by size, connected to a magnetically active channel comprised of a nickel micropad array, optically transparent microchannel, and permanent magnets.

Claim (Index 9):
The method of  claim 8 , further comprising stacking or cascaded microfluidic chips to form a double layer modified version, so that an inlet of the a second microfluidic chip aligns with an outlet of a first microfluidic chip for continuous flow and user-free analysis.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 93.0
- Lexical Diversity: 1.4717
- Patent Class: 356.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15431604', '13217616', '13564698', '12597742', '10229600']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6759248443634377
- 35 USC 102 Novelty (BERT): 0.5118815956699418
- Combined Prediction Score: 0.6595205194940881
- Mean Citation Score: 178.86669999999995
- Max Citation Score: 276.63385
- Similarity Product: 174.58410061600804

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