CER Groupe, Rue du Point du Jour 8, 6900 Marloie, Belgium.
ILVO Flanders Research Institute for Agriculture, Fisheries and Food, Technology and Food Science Unit, Brusselsesteenweg 370, 9090 Melle, Belgium.
J AOAC Int. 2022 Oct 26;105(6):1585-1595. doi: 10.1093/jaoacint/qsac053.
Accurate food labeling is essential to protect allergic consumers. However, allergen contaminations may occur during the whole food production process. Reliable, sensitive, and robust methods for detecting multiple allergens in food are needed.
This work aims to develop and validate an LC coupled to tandem mass spectrometry (MS/MS) method for the detection and quantification of hazelnuts, peanuts, milk, and eggs in processed food products.
In-house-produced incurred test materials, cookies and chocolates, were used for the method development and validation. The quantification was based on the standard addition strategy using qualified reference materials as allergen protein standards and an innovative stable isotope-labeled concatemer as an internal standard.
A method targeting 19 allergen-specific peptides was developed and validated in two laboratories, which strengthens its robustness. The AOAC INTERNATIONAL performance requirements for repeatability, intermediate precision, reproducibility, and recovery were reached for at least one peptide per allergen across both matrixes, and quantification limits complied with the action levels of the Food Industry Guide to the Voluntary Incidental Trace Allergen Labelling (VITAL®) Program Version 3.0.
The combination of incurred test materials, standard addition strategy, and stable isotope-labeled concatemer as an internal standard allowed us to develop and validate a robust method for detecting and quantifying multiple allergens in food with sufficient sensitivity to protect allergic consumers.
The combination of characterized incurred test material, calibration with certified reference material, a single stable isotope labelled concatemer and cross-lab validation result in the required standardization and harmonization in food allergen detection according to the stakeholders' group to assess the robustness of our method.
准确的食品标签对于保护过敏消费者至关重要。然而，过敏原污染可能发生在整个食品生产过程中。因此，需要可靠、敏感和稳健的方法来检测食品中的多种过敏原。
本研究旨在开发和验证一种用于检测和定量加工食品中榛子、花生、牛奶和鸡蛋的 LC 串联质谱（MS/MS）方法。
采用内部生产的掺入测试材料（饼干和巧克力）进行方法开发和验证。定量基于标准添加策略，使用合格的参考物质作为过敏原蛋白标准，以及创新的稳定同位素标记的连接体作为内标。
开发并验证了一种针对 19 种过敏原特异性肽的方法，该方法在两个实验室中具有较强的稳健性。在两个基质中，至少有一种过敏原的每种肽都达到了 AOAC INTERNATIONAL 重复性、中间精密度、再现性和回收率的性能要求，定量限符合自愿偶然痕量过敏原标签（VITAL®）计划版本 3.0 食品工业指南的行动水平。
掺入测试材料、标准添加策略和稳定同位素标记的连接体作为内标相结合，使我们能够开发和验证一种用于检测和定量食品中多种过敏原的稳健方法，该方法具有足够的灵敏度，可保护过敏消费者。
经过特征化的掺入测试材料、用认证参考物质进行校准、单一的稳定同位素标记的连接体和跨实验室验证，根据利益相关者小组评估我们方法的稳健性，实现了食品过敏原检测所需的标准化和协调化。
