Comprehensive characterization and detection of nut allergens in bakery foods using Q-TOF mass spectrometry and bioinformatics

作     者：Daokun Xu Haolun Huang Zhen Liu YumeiWang Qinan Liu Xing Jiang JunYang Rui Ling Daokun Xu;Haolun Huang;Zhen Liu;Yumei Wang;Qinan Liu;Xing Jiang;Jun Yang;Rui Ling

作者机构：Nanjing Institute for Food and Drug ControlNanjingChina State Key Laboratory of Food Science and TechnologySchool of Food Science and TechnologyJiangnan UniversityWuxiChina Demonstration Collaborative Laboratory of Analysis and Detection Technology for Food and Drug SafetyNanjing Institute for Food and Drug Control and Agilent Technologies(China)NanjingChina Collaborative Laboratory for Food SafetyNanjing Institute for Food and Drug Control and SCIEX(China)NanjingChina 

出 版 物：《Food Quality and Safety》 (食品品质与安全研究（英文版）)

年 卷 期：2024年第8卷第1期

页      面：145-157页

核心收录：

学科分类：09[农学] 0903[农学-农业资源与环境] 

基　　金：the Key Science and Technology Program of the Market Supervision Administration of Jiangsu Province(No.KJ196035) the Key Science and Technology Program of the Market Supervision Administration of Nanjing(No.KJ2019043),China 

主　　题：Nut allergen Q-TOF mass spectrometry peptides label-free quantitation bakery foods. 

摘      要：Food allergy is a growing health issue worldwide and the demand for sensitive,robust and high-throughput analytical methods is *** recent years,mass spectrometry-based methods have been established for multiple food allergen *** the present study,a novel method was developed for the simultaneous detection of almond,cashew,peanut,and walnut allergens in bakery foods using liquid chromatography–mass *** unique to these four ingredients were extracted,followed by trypsin digestion,quadrupole time-of-flight(Q-TOF)mass spectrometry and bioinformatics *** raw data were processed by de-novo sequencing module plus PEAKS DB(database search)module of the PEAKS software to screen peptides specific to each nut *** thermal stability and uniqueness of these candidate peptides were further verified using triple quadrupole mass spectrometry(QQQ-MS)in multiple reaction monitoring(MRM)*** nut species was represented by four peptides,all of which were validated for label-free quantification(LFQ).Calibration curves were constructed with good linearity and correlation coefficient(r 2)greater than *** limits of detection(LODs)were determined to range from 0.11 to 0.31 mg/kg,and were compared with the reference doses proposed by Voluntary Incidental Trace Allergen Labelling(VITAL).The recoveries of the developed method in incurred bakery food matrices ranged from 72.5%to 92.1%with relative standard deviations(RSD)of5.2%.The detection of undeclared allergens in commercial bakery food samples confirmed the presence of these *** conclusion,this method provides insight into the qualitative and quantitative detection of trace levels of nut allergens in bakery foods.