PATENT CLAIM ANALYSIS

Application Number: 15776469
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["356", "436000"]

Abstract:
A porous mirror ( 1 ) for detection of an analyte ( 96 ) in a fluid ( 99 ) by optical probing, comprising a translucent slab ( 2 ) with a front side ( 3 ), and a backside ( 4 ) facing away from the front side ( 3 ), wherein the front side ( 3 ) is adapted for being contacted with a fluid ( 99 ), and a reflective layer ( 5 ) at the front side ( 3 ) of the translucent slab ( 2 ), the reflective layer ( 5 ) being adapted to reflect light reaching the reflective layer from the backside ( 4 ) of the translucent slab ( 2 ), wherein the translucent slab ( 2 ) comprises pores ( 6 ), wherein the pores ( 6 ) are dead end pores ( 6 ) extending from respective openings ( 7 ) at the front side ( 3 ) into the translucent slab ( 2 ), through the reflective layer ( 5 ), wherein a cross-sectional dimension of the openings ( 7 ) of the pores ( 6 ) is dimensioned so as to prevent larger particles or debris, if any included the fluid, from entering the pores ( 6 ), while allowing the analyte ( 96 ) in the fluid ( 99 ) to enter the pores ( 6 ) via diffusion.

Claim (Index 15):
A method for optically detecting an analyte in a fluid according to  claim 14 , wherein the analyte is bilirubin and the fluid is whole blood.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 93.0
- Lexical Diversity: 3.0625
- Patent Class: 356.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['11452906', '13332076', '14150846', '10616251', '10767963']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7114166275748699
- 35 USC 102 Novelty (BERT): 0.4845416067336913
- Combined Prediction Score: 0.688729125490752
- Mean Citation Score: 164.75413
- Max Citation Score: 175.157
- Similarity Product: 118.80482107412816

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

Dataset: test