IP Library Patent Application 17208410
Patent Application
App. No. 17/208,410

DETECTING COMPOSITION OF NON-HOMOGENIZED FLUIDS

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Patent No.
US None
App. No.
17/208,410
Abstract

Provided herein are methods, systems, and apparatus related to sensing and measuring various components in non-homogenized solutions. Also provided herein are systems for sensing a property of a solution containing one or more components. Also provided herein are methods for determining fat content in a non-homogenized solution.

Claims (56)

1 . A method for measuring a component of a non-homogenized solution, the method comprising:

receiving, at a computer system, a datastream of sensed infrared energy generated by irradiating a sample of the non-homogenized solution with infrared energy, and sensing the infrared energy emitted from the irradiated sample;

determining, by the computer system, at least one of an infrared absorption spectrum and an infrared emission spectrum based on the datastream;

determining, by the system, a measured value of the component in the sample based on the one or more determined spectrum;

generating, by the computer system, an adjustment factor based on the one or more determined spectrum;

adjusting the measured value based on the adjustment factor to generate an adjusted value;

determining, by the system, a correction factor based on a selected particle size or particle scatter associated with the component in the sample;

modifying, by the computer system, the adjusted value using the correction factor, to generate a corrected value of the component; and,

outputting, by the computer system, information identifying the corrected value of the component, wherein the corrected value indicates a measurement of the component in the non-homogenized solution.

2 . The method of claim 1 , wherein the selected particle size is based on a mean particle size of a predetermined proportion of particles of the component in at least a portion of the sample.

3 . The method of claim 2 , wherein the mean particle size or particle scatter is determined based on at least one of the infrared absorption spectrum and the infrared emission spectrum.

4 . The method of claim 1 , wherein the selected particle size is determined based on a predetermined proportion of particles of the component in at least a portion of the sample having a mean diameter less than the selected particle size.

5 . The method of claim 4 , wherein the predetermined proportion is between twenty percent and one hundred percent.

6 . The method of claim 5 , wherein the predetermined proportion is ninety percent.

7 . The method of claim 1 , wherein the correction factor is based on a relationship between an error measurement model and the selected particle size or the particle scatter, where such relationship corresponds to a reference model associated with the component.

8 . The method of claim 7 , wherein the relationship is a linear relationship.

9 . The method of claim 1 , wherein generating an adjustment factor based on the one or more determined spectrum further comprises obtaining a reference spectrum associated with the component and comparing the one or more determined spectrum to the reference spectrum to generate the adjustment factor.

10 . The method of claim 9 , wherein comparing the one or more determined spectrum to the reference spectrum comprises performing a linear least squares regression.

11 . The method of claim 9 , wherein the reference spectrum is associated with measurements of the component in a homogenized solution.

12 . The method of claim 1 , wherein the non-homogenized solution is non-homogenized milk and the component is fat.

13 . The method of claim 12 , wherein generating an adjustment factor based on the one or more determined spectrum further comprises obtaining a reference spectrum associated with the component and comparing the determined spectrum to the reference spectrum to generate the adjustment factor wherein the reference spectrum is based on one or more mathematical models comprising Fat A model, Fat B model, Fat C model, Fat D model, or Fat PLS model.

14 . The method of claim 13 , wherein the correction factor is based on a relationship between error measurement and particle size, wherein the relationship is associated with a fat model spectrum comprising at least one of a Fat A model, a Fat B model, a Fat C model, a Fat D model, or a Fat PLS model.

15 . The method of claim 14 , wherein particle size is based on a mean diameter of at least some of the particles in the solution.

16 . The method of claim 15 , wherein the particle size is D 90 .

17 . The method of claim 1 , wherein the sample is a solution of non-homogenized milk, and the component includes one or more of fat, protein, total protein, true protein, lactose, non-protein nitrogen, solids, or non-fat solids, or any combinations thereof.

18 . A method for determining fat content of a non-homogenized solution, the method implemented by a system comprising at least one computer, the method comprising:

receiving a datastream of sensed infrared energy generated by irradiating a sample of the non-homogenized solution and sensing the infrared energy from the irradiated sample;

determining, at least one of an infrared absorption spectrum and an infrared emission spectrum based on the received datastream of sensed infrared energy;

selecting a reference spectrum for fat content based on the non-homogenized solution;

comparing at least one of the infrared absorption spectrum and the infrared emission spectrum to the reference spectrum to determine an adjusted value of an amount of fat in the non-homogenized solution;

determining a particle size of the fat content based on at least one of the infrared absorption spectrum and the infrared emission spectrum;

based on the determined particle size, computing a correction factor; and

determining the fat content in the sample by applying the correction factor to the adjusted value.

19 . The method of claim 18 , wherein determining a particle size comprises determining a fat particle size within a predetermined proportion of fat particles in at least a portion of the sample.

20 . The method of claim 19 , wherein the predetermined proportion is ninety percent.

21 . The method of claim 18 , wherein selecting a reference spectrum includes selecting at least one fat model spectrum associated with a Fat A model, a Fat B model, a Fat C model, a Fat D model, and a Fat PLS model.

22 . The method of claim 21 , wherein computing a correction factor includes selecting an error measurement model associated with the at least one selected fat model spectrum.

23 . The method of claim 18 , wherein the non-homogenized solution is one of an animal dairy product or a non-animal milk product.

24 . The method of claim 23 , wherein the animal dairy product comprises at least one of raw milk, milk, cream, ice cream, yogurt, cheese, or any combinations thereof.

25 . The method of claim 23 , wherein the animal dairy product comprises milk from at least one of a cow, a sheep, a camel, a buffalo, a goat, and a human.

26 . A system for sensing a property of a non-homogenized solution containing one or more components, the system comprising:

a sample chamber configured to receive a sample of the non-homogenized solution;

an infrared energy source configured to, when energized, irradiate the sample with infrared energy;

an infrared sensor comprising:

a sensing element positioned to receive infrared energy emitted from the irradiated sample and configured to generate a datastream based on the received infrared energy; and

a controller comprising a processor and a memory, the controller being in data communication with the infrared sensor, the controller configured to:

determine at least one of an infrared absorption spectrum and an infrared emission spectrum from the datastream;

process the one or more measured spectrum to compute a measured value of an amount of a component of the sample;

process the one or more determined spectrum to generate an adjustment factor;

adjust the measured value based on the adjustment factor to generate an adjusted value;

determine a correction factor based on a selected particle size associated with the component in the sample; and,

modify the adjusted value using the correction factor, to generate a corrected value of the component.

27 . The system of claim 26 , wherein the controller is further configured to:

compare the corrected value of the component to a ruleset to identify an operation defined by the ruleset; and,

responsive to the identification of an operation, issue a command to cause the operation to occur.

28 . The system of claim 27 , wherein the operation comprises at least one of: initiating operation of a device that manufactures a product using the non-homogenized solution; actuating a transfer device that transfers the non-homogenized solution from an initial location to a destination location; transmitting a first data record over a data network, the data record created based on the corrected value; and causing storing of a second data record to a computer-readable destination.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 31, 2023
From: PERKINELMER HEALTH SCIENCES B.V.
To: PERKINELMER U.S. LLC
Reel/Frame 063803/0936 →
SECURITY INTEREST Recorded Mar 13, 2023
From: PERKINELMER U.S. LLC
To: OWL ROCK CAPITAL CORPORATION
Reel/Frame 066839/0109 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 2, 2021
From: CREE, PATRICK; LAND, MARTIN; TERPSTRA, ANNE GERBEN; DE VRIES, HENDRICK
To: PERKINELMER HEALTH SCIENCES B.V.
Reel/Frame 056412/0352 →