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To protect allergic patients and guarantee correct food labeling, robust, specific and sensitive detection methodsare urgently needed. Mass spectrometry (MS)-based methods could overcome the limitations of current detectiontechniques. Thefirst step in the development of an MS-based method is the identification of biomarkers, whichare, in the case of food allergens, peptides. Here, we implemented a strategy to identify the most salient peptidebiomarkers in peanuts. Processed peanut matrices were prepared and analyzed using an untargeted approach viahigh-resolution MS. More than 300 identified peptides were furtherfiltered using selection criteria to strengthenthe analytical performance of a future, routine quantitative method. The resulting 16 peptides are robust to foodprocessing, specific to peanuts, and satisfy sequence-based criteria. The aspect of multiple protein isoforms isalso considered in the selection tree, an aspect that is essential for a quantitative method’s robustness but seldom,if ever, considered.
Contient cette citation
Gavage, M., Van Vlierberghe, K., Van Poucke, C., De Loose, M., Gevaert, K., Dieu, M., Renard, P., Arnould, T., & Gillard, N. (2020). High-resolution mass spectrometry-based selection of peanut peptide biomarkers considering food processing and market type variation. Food Chemistry , 304, 125428. . https://doi.org/10.1016/j.foodchem.2019.125428