Influenza B Virus Detection Using M1 Monoclonal Antibodies
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Solution Overview
Problem
Conventional immunoassays have lower reactivity with influenza B virus, necessitating a method for specific and sensitive detection.
Innovation Solution
A sandwich method using two monoclonal antibodies that target specific epitopes on the M1 protein of influenza B virus, allowing for higher sensitivity in detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional immunoassay methods are used for influenza detection, then the diagnostic method is simple and rapid, but the detection sensitivity is weak for influenza B virus
Solution Approach 1:
The invention divides the detection approach by using type-specific monoclonal antibodies: anti-M2 monoclonal antibody for influenza A and anti-M1 monoclonal antibody for influenza B. This segmentation allows each antibody to target its specific virus type with high sensitivity, resolving the contradiction between simple detection and high sensitivity for influenza B.
Solution Approach 2:
The invention applies local quality by using antibodies with different specificities in different regions of the diagnostic system. The anti-M2 antibody is optimized for influenza A detection while the anti-M1 antibody is optimized for influenza B detection, allowing each component to have high sensitivity for its target virus type.
2Reliability
If type-specific antibodies are used for influenza A and B detection, then differential diagnosis is achieved, but the reactivity with influenza B virus is lower compared to influenza A
Solution Approach 1:
The invention changes the key parameter of antibody selection by using monoclonal antibodies with proven high reactivity for each virus type. The anti-M1 monoclonal antibody specifically targets influenza B M1 protein, and the anti-M2 monoclonal antibody specifically targets influenza A M2 protein, ensuring high reactivity and reliable differential diagnosis.
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
Enables distinct detection of influenza B virus from influenza A virus, improving diagnostic capabilities and treatment selection.
Implementation Method 1
an immunoassay of influenza B virus by a sandwich method using two kinds of monoclonal antibodies which specifically react with the region of the 125th to 248th amino acids of matrix protein (M1) of influenza B virus
Data Source
AI summary
A method for measuring influenza B virus by an immunoassay, which method enables specific detection of influenza B virus with a higher sensitivity than conventional methods, and a device or a kit therefor are disclosed. The method for measuring influenza B virus includes carrying out an immunoassay of influenza B virus by a sandwich method using two kinds of monoclonal antibodies each of which specifically reacts with the region of the 125th to 248th amino acids of matrix protein (M1) of influenza B virus, which two kinds of monoclonal antibodies are capable of binding to the region of the 125th to 248th amino acids of M1 at the same time, or antigen-binding fragments thereof.