Development and Validation of a QconCAT-Based LC-MS/MS Method for the Quantification of 12 Food Allergens in Foods
文献类型： 外文期刊
作者： Shencheng, Yingnan 1 ; Zhou, Meizhen 1 ; Zhao, Yumeng 1 ; Li, Siyi 1 ; Lin, Haopeng 1 ; Abdallah, Mohamed F. 3 ; Zhang, Rong 1 ; Liu, Shuyan 1 ; Li, Yi 1 ; Yang, Shupeng 1 ;
作者机构： 1.Chinese Acad Agr Sci, Inst Food Sci & Technol, Innovat Team Qual & Safety Control Agr Prod Proc, Beijing 100193, Peoples R China
2.Minist Agr & Rural Affairs, Agroprod & Food Inspect & Testing Ctr Beijing, Beijing 100193, Peoples R China
3.Univ Ghent, Dept Food Technol Food Safety & Hlth, B-9000 Ghent, Belgium
关键词： food allergen; QconCAT; mass spectrometry; food safety; quantitative measurement
期刊名称：JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY （ 影响因子：6.2； 五年影响因子：6.4 ）
ISSN： 0021-8561
年卷期： 2025 年 73 卷 30 期
页码：
收录情况： SCI
摘要： Accurate detection of food allergens is crucial to ensuring food safety. This study introduces a novel LC-MS/MS method integrated with QconCAT technology for the cost-effective quantification of 12 food allergens including milk, eggs, peanuts, soybeans, wheat, sesame, and six tree nuts. Characteristic peptides were selected for specificity, stability, and resilience to heat processing using LC-HRMS, addressing inconsistencies found in prior peptide selection. Stable isotope-labeled QconCAT proteins, expressed in Escherichia coli, served as internal standards, overcoming the high cost of synthesized peptides. The proposed LC-MS/MS method, spiked with QconCAT, exhibited high sensitivity (LOD: 1-3 mg/kg, LOQ: 2-5 mg/kg), excellent linearity (R-2 > 0.995), good accuracy (recovery: 80.2-103.5%), and precision (RSD < 13.8%). Testing of Chinese food samples revealed undeclared allergens in 33.3% of dumplings/steamed buns and 42.9% of mooncakes, demonstrating practical applicability. This cost-effective, high-throughput approach enhances multiallergen detection, supporting regulatory compliance and consumer safety.
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