Application of Modification Treatment to the Detection of Hypoallergenic Peanut Products
Abstract
How to effectively detect and produce low allergenic peanut products has become a key issue that urgently needs to be addressed in the field of food safety. Peanuts, as one of the common food allergens, can cause serious allergic reactions and even endanger life if people who are allergic to peanuts accidentally consume them. Therefore, it is particularly important to develop a technology that can reduce the allergenicity of peanut products. To solve this problem, researchers have adopted advanced modification techniques to modify peanut protein through chemical or physical methods, in order to reduce its allergenicity. The experimental results showed that in specific allergen detection experiments, when the concentrations of unprocessed peanut protein and modified peanut protein were both above 40 μ g/mL, the cell viability of modified peanut protein was significantly enhanced, indicating that its allergenicity was relatively low. This discovery confirms the effectiveness of modification technology in reducing peanut allergenicity.
References
[1]Linacero R, Cuadrado C. New Research in Food Allergen Detection[J]. Foods, 2022, 11(10): 1520-1521.
[2]Luparelli A, Losito I, De Angelis E, et al. Tree nuts and peanuts as a source of beneficial compounds and a threat for allergic consumers: overview on methods for their detection in complex food products[J]. Foods, 2022, 11(5): 728-731.
[3]Hnasko R M, Lin A V, McGarvey J A, et al. Sensitive and selective detection of peanut allergen Ara h 1 by ELISA and lateral flow immunoassay[J]. Food Chemistry, 2022, 396: 133657.
[4]Tramuta C, Decastelli L, Barcucci E, et al. Detection of peanut traces in food by an official food safety laboratory[J]. Foods, 2022, 11(5): 643-647.
[5]Schäfer L, Miskey C, Hein S, et al. DNA Meets Protein─ Development, Characterization, and Application of Aptamers against Peanut Allergen[J]. Journal of Agricultural and Food Chemistry, 2024, 72(32): 18225-18233.
[6]Adedeji A A, Priyesh P V, Odugbemi A A. The Magnitude and Impact of Food Allergens and the Potential of AI-Based Non-Destructive Testing Methods in Their Detection and Quantification[J]. Foods, 2024, 13(7): 994-1001.
[7]Luparelli A, Losito I, De Angelis E, et al. Multi-target detection of nuts and peanuts as hidden allergens in bakery products through bottom-up proteomics and high-resolution mass spectrometry[J]. Foods, 2023, 12(4): 726-730.
[8]Pi X, Peng Z, Liu J, et al. Sesame allergy: mechanisms, prevalence, allergens, residue detection, effects of processing and cross-reactivity[J]. Critical Reviews in Food Science and Nutrition, 2024, 64(10): 2847-2862.
[9]Miaw C S W, Martins M L C, Sena M M, et al. Screening method for the detection of other allergenic nuts in cashew nuts using chemometrics and a portable near-infrared spectrophotometer[J]. Food Analytical Methods, 2022, 15(4): 1074-1084.
[10]Hemmings O, Niazi U, Kwok M, et al. Combining allergen components improves the accuracy of peanut allergy diagnosis[J]. The Journal of Allergy and Clinical Immunology: In Practice, 2022, 10(1): 189-199.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.