PATENT CLAIM ANALYSIS

Application Number: 16132830
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["073", "655000"]

Abstract:
A photo acoustic non-destructive measurement apparatus and method for quantitatively measuring texture of a liquid. The apparatus includes a laser generating tool, an acoustic capturing device, and a data processing unit. The laser generating tool directs a laser towards a surface of a liquid contained in a container and creates pressure waves that propagate through the air and produce an acoustic signal. The acoustic capturing device records and forwards the signal to a data processing unit. The data processing unit further comprises a digital signal processing module that processes the received acoustic signal. A statistical processing module further filters the acoustic signal from the data processing unit and generates a quantitative acoustic model for texture attributes such as hardness and fracturability. The quantitative model is correlated with a qualitative texture measurement from a descriptive expert panel. Textures of liquids are quantitatively measured with the quantitative acoustic model.

Claim (Index 10):
A quantitative method for formulating a liquid to target a texture attribute of consumers, the method comprising steps of:\n a) conducting a tasting test with at least one consumer with a plurality of liquids; b) identifying a qualitative measure of the texture attribute for each consumer and each of the plurality of liquids; c) assigning a texture score for each of the plurality of liquids based on each corresponding qualitative measure; d) characterizing each of the plurality of liquids with a photo acoustic method; e) identifying relevant frequencies and their associated intensities for each of the plurality of liquids based on the converting; f) correlating each assigned texture score with corresponding ones of the identified relevant frequencies; and g) targeting a formulation based on the identified relevant frequencies.

Metadata:
- Claim Count in Document: 21.0
- Percentile: 97.0
- Lexical Diversity: 2.09333
- Patent Class: 73.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15459828', '15711592', '14864593', '15380943', '15380622']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7451730178942616
- 35 USC 102 Novelty (BERT): 0.5552760747618223
- Combined Prediction Score: 0.7261833235810177
- Mean Citation Score: 421.32204200000007
- Max Citation Score: 457.99838
- Similarity Product: 297.120364661603

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

Dataset: test