Quantitative Texture Measurement Apparatus and Method
US-2018011069-A1 · Jan 11, 2018 · US
US10605787B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10605787-B2 |
| Application number | US-201816132830-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 17, 2018 |
| Priority date | Sep 24, 2015 |
| Publication date | Mar 31, 2020 |
| Grant date | Mar 31, 2020 |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
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.
Opening claim text (preview).
What is claimed is: 1. A photo acoustic quantitative method for measuring a texture attribute of a liquid, the method comprising the steps: a) striking a surface of the liquid with a laser and creating an arc, thereby generating an acoustic signal from the struck surface of the liquid, the laser imparting a fluence at the surface of the liquid, the fluence being within a range of 1 mJ/cm 2 to 700 mJ/mm 2 ; b) capturing the acoustic signal with an acoustic capturing device positioned above the struck surface of the liquid; c) sending the acoustic signal to a data processing unit coupled to the acoustic capturing device; d) converting the acoustic signal from a time domain to a frequency domain; e) identifying relevant frequencies and their associated intensities in the converted acoustic signal; and f) quantifying the texture attribute of the liquid based on the relevant frequencies and the associated intensities. 2. The method of claim 1 , wherein the liquid is contained in an open container when the laser strikes the liquid. 3. The method of claim 1 , wherein the liquid is passing within a tube when the laser strikes the liquid. 4. The method of claim 1 , wherein the laser strikes the liquid at multiple locations of the liquid. 5. The method of claim 1 , wherein the acoustic capturing device captures the acoustic signal for a period of 1 second to 5 minutes. 6. The method of claim 1 , wherein the laser strikes the liquid continuously for a period of 1 micro second to 10 seconds. 7. The method of claim 1 , wherein the liquid is selected from a group consisting of: carbonated beverage, non-carbonated beverage, hot liquids, wine, coffee, and cold beverages. 8. The method of claim 1 , wherein the texture attribute is selected from a group consisting of: viscosity, density, mouthfeel, astringency, mouth coating, sweetness, a sensory property, and a rheological property. 9. A quantitative method for formulating a liquid composition to provide a targeted texture attribute for consumers, the method comprising the steps: i) conducting a tasting test with at least one consumer with a plurality of liquids; ii) identifying a qualitative measure of the texture attribute for each consumer and each of the plurality of liquids; iii) assigning a texture score for each of the plurality of liquids based on each corresponding qualitative measure; iv) characterizing the texture attribute of each of the plurality of liquids with the photo acoustic quantitative method of claim 1 ; v) correlating each assigned texture score with the corresponding relevant frequencies and their associated intensities identified in step e) of claim 1 for each of the plurality of liquids; and vi) using the identified relevant frequencies and their associated intensities to determine whether a liquid formulation has the targeted texture attribute. 10. The method of claim 9 , wherein the texture attribute is selected from a group consisting of: viscosity, density, mouthfeel, astringency, mouth coating, sweetness, a sensory property, and a rheological property. 11. The method of claim 9 , wherein step vi) comprises using the identified relevant frequencies and their associated intensities to identify at least one liquid formulation in a plurality of liquid formulations that has the targeted texture attribute.
Starch-containing substances, e.g. dough · CPC title
by measuring frequency or resonance of acoustic waves · CPC title
Liquids · CPC title
by using ultrasonic waves (measuring position using ultrasonic waves G01S15/02) · CPC title
Beverages · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.