Preparation Of Soybean Beta-Conglycinin Epitope Antibody And Its Preliminary Application In Frozen Surimi Detection

European Food Research and Technology(2021)

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摘要
Food allergy has become one of the food safety issues in the world. As a common source of food allergy, soybean poses a dietary risk to allergic individuals due to the presence of beta-conglycinin, a main allergenic protein in soybean. Therefore, an efficient and sensitive detection method using highly specific antibody materials is necessary for the detection of allergens. In this study, we have used soybean major allergen beta-conglycinin as research object, using analysis software such as DNAStar subroutine Protean, SOPMA server, etc. Three main subunits (alpha, alpha ' and beta subunits) of beta-conglycinin were sequenced. After a series of predictions, screenings and validations, we have obtained the most active epitope peptide with the sequence SNLNFLAFGINAENNQ from the beta subunit. This epitope peptide was used to prepare rabbit-derived polyclonal antibodies. Using this antibody, we developed a quantum-dot-based fluorescent lateral flow immunoassay (LFIA) to detect beta-conglycinin in frozen surimi. In this detection method, relevant conditions were optimized, and the detection limit was found to be 1.6 mg/g. In conclusion, the epitope peptide SNLNFLAFGINAENNQ was synthesized and using this epitope peptide as the immunogen, rabbit-derived polyclonal antibodies were prepared. A QD-based fluorescent LFIA detection method was developed for a simple, sensitive and specific detection of soybean major allergen beta-conglycinin in surimi. This method is beneficial to the healthy development of the frozen surimi industry.
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关键词
Epitope prediction, &#946, -conglycinin, Lateral flow immunoassay, Quantum dots, Detection
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