Selection of signature peptide biomarkers for the sesame allergens in commercial food based on LC-MS/MS

IF 8.5 1区 农林科学 Q1 CHEMISTRY, APPLIED
Jing Li , Wenhan Kang , Jiukai Zhang , Yiqiang Ge , Ning Yu , Ying Chen
{"title":"Selection of signature peptide biomarkers for the sesame allergens in commercial food based on LC-MS/MS","authors":"Jing Li ,&nbsp;Wenhan Kang ,&nbsp;Jiukai Zhang ,&nbsp;Yiqiang Ge ,&nbsp;Ning Yu ,&nbsp;Ying Chen","doi":"10.1016/j.foodchem.2024.141392","DOIUrl":null,"url":null,"abstract":"<div><div>Sesame is a commonly used food ingredient, yet it is one of the eight major allergens. As sesame is often consumed in various processed forms, it is important to establish methods for detecting sesame allergens in processed foods. Liquid chromatography-tandem mass spectrometry (LC-MS/MS), using characteristic peptides as biomarkers, detects multiple allergenic proteins simultaneously with high sensitivity and accuracy. Choosing robust biomarkers is beneficial for developing a specific, universal, and sensitive method. To obtain excellent peptides of sesame allergens, sixteen commercial products were used as test materials. Proteins from these materials were extracted, digested, and analyzed. Peptides were screened based on several criteria, including specificity and amino acid composition. Only peptides showing process robustness were retained. Ultimately, nine peptides were selected as the best biomarkers. Based on the above peptides, it is possible to achieve precise and high-sensitivity detection of sesame allergens in processed products.</div></div>","PeriodicalId":318,"journal":{"name":"Food Chemistry","volume":"463 ","pages":"Article 141392"},"PeriodicalIF":8.5000,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food Chemistry","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0308814624030425","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
引用次数: 0

Abstract

Sesame is a commonly used food ingredient, yet it is one of the eight major allergens. As sesame is often consumed in various processed forms, it is important to establish methods for detecting sesame allergens in processed foods. Liquid chromatography-tandem mass spectrometry (LC-MS/MS), using characteristic peptides as biomarkers, detects multiple allergenic proteins simultaneously with high sensitivity and accuracy. Choosing robust biomarkers is beneficial for developing a specific, universal, and sensitive method. To obtain excellent peptides of sesame allergens, sixteen commercial products were used as test materials. Proteins from these materials were extracted, digested, and analyzed. Peptides were screened based on several criteria, including specificity and amino acid composition. Only peptides showing process robustness were retained. Ultimately, nine peptides were selected as the best biomarkers. Based on the above peptides, it is possible to achieve precise and high-sensitivity detection of sesame allergens in processed products.

Abstract Image

基于液相色谱-质谱联用仪(LC-MS/MS)筛选商业食品中芝麻过敏原的特征肽生物标记物
芝麻是一种常用的食品配料,但却是八种主要过敏原之一。由于芝麻经常以各种加工形式被食用,因此建立检测加工食品中芝麻过敏原的方法非常重要。液相色谱-串联质谱法(LC-MS/MS)使用特征肽作为生物标记物,可同时检测多种过敏原蛋白,灵敏度和准确性都很高。选择稳健的生物标记物有利于开发特异性、通用性和灵敏度高的方法。为了获得芝麻过敏原的优良肽,我们使用了 16 种商业产品作为测试材料。对这些材料中的蛋白质进行提取、消化和分析。根据特异性和氨基酸组成等多个标准对多肽进行筛选。只有显示出工艺稳健性的肽才被保留下来。最终,九种肽被选为最佳生物标记物。基于上述肽,可以实现对加工产品中芝麻过敏原的精确、高灵敏度检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Food Chemistry
Food Chemistry 工程技术-食品科技
CiteScore
16.30
自引率
10.20%
发文量
3130
审稿时长
122 days
期刊介绍: Food Chemistry publishes original research papers dealing with the advancement of the chemistry and biochemistry of foods or the analytical methods/ approach used. All papers should focus on the novelty of the research carried out.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信