Multivariate Modeling for Clay Aflatoxin Binding Prediction

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Solution Overview

Problem

Current methods for testing the aflatoxin binding capacity of clay deposits are time-intensive and costly, relying on offsite laboratory analysis and showing low correlation between free swell index values and actual aflatoxin binding performance.

Innovation Solution

The use of multivariate modeling to correlate physical and chemical properties of bentonite clay samples with aflatoxin binding capacity, employing X-Ray Diffraction (XRD), X-Ray Fluorescence (XRF), and portable testing equipment for onsite analysis, allowing for the identification of suitable clay reserves and categorization for aflatoxin binding affinity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If offsite wet lab analysis is used to test aflatoxin binding capacity, then measurement precision is improved, but loss of time and manufacturing cost increase

Engineering Contradiction:

Improveaflatoxin binding capacity measurementVSAvoidtesting time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent applies preliminary action by measuring physical and chemical properties (XRD, XRF, free swell index) before conducting actual aflatoxin binding tests. These preliminary measurements are used in multivariate models to predict binding capacity, reducing the need for time-consuming offsite wet lab analysis while maintaining measurement precision through correlated predictive relationships.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent uses copying by creating multivariate statistical models that replicate the relationship between easily measurable properties (free swell index, XRD, XRF) and aflatoxin binding capacity. These models serve as virtual copies of the complex binding assays, enabling rapid prediction without performing the actual time-intensive binding tests for every sample.

Inventive Principle:

Principle #26Copying

2Measurement precision

If offsite wet lab analysis is used to test aflatoxin binding capacity, then measurement precision is improved, but manufacturing cost increases

Engineering Contradiction:

Improveaflatoxin binding capacity measurementVSAvoidtesting cost

Core Design Contradiction:

Measurement precisionVSEase of manufacture

Solution Approach 1:

The patent performs preliminary measurements of physical and chemical properties using portable or routine equipment (XRD, XRF, free swell index) that are less costly than offsite wet lab analysis. These preliminary data are then used in multivariate models to predict binding capacity, reducing the need for expensive offsite testing while maintaining measurement precision through statistically validated predictive relationships.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent creates statistical model copies that replicate the expensive offsite binding assays using cheaper, more accessible measurements. The multivariate models capture the relationship between routine physical/chemical properties and aflatoxin binding capacity, enabling cost-effective prediction without requiring costly offsite laboratory analysis for every sample evaluation.

Inventive Principle:

Principle #26Copying

3Ease of operation

If free swell index alone is used to predict aflatoxin binding, then ease of operation is improved, but measurement precision deteriorates

Engineering Contradiction:

Improvetesting simplicityVSAvoidbinding capacity prediction

Core Design Contradiction:

Ease of operationVSMeasurement precision

Solution Approach 1:

The patent applies the composite materials principle by combining multiple physical and chemical properties (free swell index, XRD patterns, XRF elemental composition) into a composite predictive model. This multivariate approach maintains the ease of operation by using routine measurements but significantly improves measurement precision by integrating multiple correlated properties that collectively predict aflatoxin binding capacity more accurately than any single property alone.

Inventive Principle:

Principle #40Composite materials

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach significantly reduces testing time and expense while providing a more reliable prediction of aflatoxin binding performance, with improved correlation between predicted and actual Qmax values, enhancing the efficiency and accuracy of identifying suitable clay deposits for animal feed additives.

Implementation Method 1

X-Ray Diffraction (XRD)

Methodology Applied

Scientific EffectX-Ray Diffraction: X-Ray

Implementation Method 2

X-Ray Fluorescence (XRF)

Methodology Applied

Scientific EffectX-Ray Fluorescence: X-Ray

Implementation Method 3

the binding capabilities of some natural and modified clay minerals to bind to aflatoxin

Methodology Applied

Scientific EffectAdsorption: Adsorption

Data Source

PatentUS12158461B2Identification of mycotoxin absorption materials in clay deposits

Publication Date: 2024.12.03 HALLIBURTON ENERGY SERVICES INC

AI summary

A method for determining absorption properties in clay deposits is provided that includes obtaining a clay sample, preparing the clay sample, analyzing the clay sample, and applying one or more correlative models to the clay sample. Additionally a system for use in determining absorption properties in clay deposits is provided that includes a plurality of inorganic particles, an analytical instrument configured to gather physical and/or chemical data about the inorganic particles, and a computer system configured to accept the physical and/or chemical data and/or generate correlations between the inorganic particles based on the data.