Monoclonal Antibody Allergen Detection Kit
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Solution Overview
Problem
Current methods for detecting food allergens, such as milk, albumen, flour, buckwheat, and peanut allergens, face challenges in sensitivity and specificity due to the use of complex antigens and antibodies that react differently with native and denatured forms, especially in foods that undergo severe heating like bread and fried foods, leading to non-specific responses and varying quantitative results.
Innovation Solution
The development of a method using combinations of monoclonal antibodies that recognize both native and denatured forms of specific allergens, such as αs1 casein, β-lactoglobulin, ovalbumin, ovomucoid, gliadin, and Ara h1, allowing for qualitative and quantitative analysis using sandwich ELISA and immunochromatography, regardless of the processing state of the allergens in food samples.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If complex antigens and antibodies are used for allergen detection, then the detection method can identify multiple allergen types, but the sensitivity and specificity decrease due to non-specific responses with native and denatured forms
Solution Approach 1:
The patent segments the detection system by using separate monoclonal antibodies for each specific allergen type (milk, egg, flour, buckwheat, peanut) instead of using complex polyclonal antibodies that react with multiple allergens. This segmentation allows each antibody to be highly specific to its target allergen, resolving the contradiction between versatility and precision.
Solution Approach 2:
The patent changes the parameter of antibody specificity by using monoclonal antibodies with defined epitope recognition. These monoclonal antibodies are designed to recognize specific conformational or linear epitopes that remain consistent across native and denatured states, thereby maintaining high sensitivity and specificity regardless of the allergen's processing state.
2Measurement precision
If antibodies are used that react with native allergen forms, then detection is specific to unprocessed allergens, but detection fails for denatured forms in heated foods
Solution Approach 1:
The patent creates universal detection capabilities by developing monoclonal antibodies that can detect allergens in both native and denatured states. The antibody mixture includes antibodies recognizing epitopes that are conserved across processing states, allowing a single detection system to universally identify allergens regardless of whether they have been heated or processed.
Solution Approach 2:
The patent uses a composite antibody mixture containing multiple monoclonal antibodies with different specificities. This composite system includes antibodies that recognize native conformational epitopes and antibodies that recognize linear epitopes that remain intact after denaturation, thereby achieving detection across both native and denatured states.
3Measurement precision
If antibodies are used that react with denatured allergen forms, then detection is specific to processed allergens, but detection fails to distinguish native forms
Solution Approach 1:
The detection system achieves universality by incorporating monoclonal antibodies that recognize epitopes conserved across both native and denatured states. This allows the same antibody mixture to function effectively for detecting allergens regardless of their processing state, resolving the contradiction between specificity to denatured forms and versatility across processing states.
4Quantity of substance
If quantitative analysis is performed using current methods, then results can be obtained for allergen content, but the quantitative accuracy varies due to different binding levels with native and denatured allergens
Solution Approach 1:
The patent changes the parameter of antibody binding consistency by using monoclonal antibodies with defined epitope recognition. These antibodies bind to specific epitopes that are either conformational or linear, ensuring consistent binding levels across native and denatured allergen forms. This consistency enables accurate quantitative analysis regardless of the allergen's processing state.
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 enables high-sensitivity detection of allergens in food samples, ensuring accurate identification and quantification of native and denatured forms, thereby improving the reliability and consistency of allergen detection across various food processing conditions.
Implementation Method 1
using combinations of monoclonal antibodies that recognize both native and denatured forms of specific allergens
Data Source
AI summary
The present invention provides an immunological detection method that can detect milk allergens, allergens of albumen, flour, buckwheat and peanut with high sensitivity in foods containing these allergens regardless they are denatured/native, and a detection kit to be used therefor. It is a method for detecting allergens by using 2 or more monoclonal antibodies recognizing native and denatured milk allergens, native and denatured albumen allergens, native and denatured flour allergens, native and denatured buckwheat allergens, and native and denatured peanut allergens, using asl casein which is the main protein of milk casein, β-lactoglobulin which is the main protein of whey, ovalubumin and ovomucoid which are main proteins of albumen, gliadin which is the main protein of flour, protein with a molecular weight of 24 kDa and 76 kDa which are main proteins of buckwheat, and Ara h1 which is the main protein of peanut as an index.