LC-MS/MS Quantification of Total Milk Protein Allergens: A Dual-Target Approach Using β-Lactoglobulin/β-Casein Standards and Stable Isotope-Labeled Peptide Calibration
Abstract Accurate quantification of total milk protein allergens in foods remains challenging due to processing-induced alterations in whey-to-casein ratios and matrix interference effects. Herein, a LC-MS/MS method was developed and validated for accurate quantification of milk allergens in foods using a novel dual-target approach. This method simultaneously quantifies whey and casein fractions using high-purity protein standards of β-lactoglobulin and β-casein through marker peptides LIVTQTMK and VLPVPQK, respectively, coupled with stable isotope-labeled peptide internal standards containing flanking sequences. The dual-target strategy overcomes limitations of conventional single-target methods by providing accurate total milk protein determination regardless of processing-induced alterations in protein ratios. Method validation demonstrated excellent performance with detection limits of 0.1 mg/kg for β-lactoglobulin and β-casein, recovery rates of 80.6%–92.4%, and precision below 12.7% RSD. This dual-target approach provides a robust analytical tool for accurate milk allergens determination in processed foods, significantly advancing allergen control and regulatory compliance.
Authors
- Shupeng Yang (ORCID: https://orcid.org/0000-0001-7879-403X)
- Shuyan Liu
- Yingnan Shencheng
- Siyi Li (ORCID: https://orcid.org/0000-0003-4916-8253)
- Yutong Xu
- Ruijie Chen
- Yanan Gao
- Min Gao
- Yi Li
- Xiaoxue Jia
Institutions
- Ministry of Agriculture (HU)
- Chinese Academy of Agricultural Engineering (CN)
- Chinese Academy of Agricultural Sciences (CN)
- Ministry of Agriculture and Rural Affairs (CN)
Publication Details
- Journal
- Journal of Agricultural and Food Chemistry
- Published
- 2026-09-15
- DOI
- https://doi.org/10.1021/acs.jafc.6c08928
- Primary Topic
- Food Allergy and Anaphylaxis Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Chinese Academy of Agricultural Sciences
- Agricultural Science and Technology Innovation Program