An optimized rapid assay for dual detection of peanut and soybean allergens in food

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Authors: Dan Zhou, Linqing Guo, Chunmei Song, Chaoqun Wang, Duoxuan Liu, Yue Cao, Yao Wang, Deguo Wang
Cited by: 0
References: 42

Abstract

, and the minimum detectable limit for allergenic peanut (or soybean) components in non-allergenic matrices was 1%. The designed Proofman-LMTIA method has excellent specificity, and the detection results for the 9 categories of commercial food samples were completely consistent with the allergen labels on the products. Furthermore, this study verified the detection sensitivity of the method by comparing it with the standard singleplex LAMP method, and further confirmed its practical application feasibility through the detection of actual samples. The dual Proofman-LMTIA method established in this study enables rapid and accurate identification of peanut and soybean allergens in food products, which will facilitate market supervision of food allergens.

Fields of Study & Subjects

Food Allergy and Anaphylaxis Research Biosensors and Analytical Detection Identification and Quantification in Food

Publication details

Journal / source
Analytical Methods
Volume
18
Issue
4
Pages
812–821
Publication date
1 January 2026
Language
EN