High-resolution mass spectrometry-based selection of peanut peptide biomarkers considering food processing and market type variation
| Autor: | Patsy Renard, Thierry Arnould, Kris Gevaert, Christof Van Poucke, Maxime Gavage, Kaatje Van Vlierberghe, Marc Dieu, Nathalie Gillard, Marc De Loose |
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| Rok vydání: | 2019 |
| Předmět: |
High-resolution mass spectrometry
Arachis Computer science Food Handling Peptide Variation (game tree) Computational biology 01 natural sciences Food handling Mass Spectrometry Analytical Chemistry 0404 agricultural biotechnology Robustness (computer science) Peptide biomarker selection Humans Peanut Hypersensitivity Food allergens Selection (genetic algorithm) chemistry.chemical_classification business.industry 010401 analytical chemistry Peanut origin 04 agricultural and veterinary sciences General Medicine Allergens 040401 food science 0104 chemical sciences Food labeling chemistry Food processing Multiple allergen isoforms business Peptides Biomarkers Food Science Processed food products |
| Zdroj: | Food chemistry. 304 |
| ISSN: | 1873-7072 |
| Popis: | To protect allergic patients and guarantee correct food labeling, robust, specific and sensitive detection methods are urgently needed. Mass spectrometry (MS)-based methods could overcome the limitations of current detection techniques. The first step in the development of an MS-based method is the identification of biomarkers, which are, in the case of food allergens, peptides. Here, we implemented a strategy to identify the most salient peptide biomarkers in peanuts. Processed peanut matrices were prepared and analyzed using an untargeted approach via high-resolution MS. More than 300 identified peptides were further filtered using selection criteria to strengthen the analytical performance of a future, routine quantitative method. The resulting 16 peptides are robust to food processing, specific to peanuts, and satisfy sequence-based criteria. The aspect of multiple protein isoforms is also considered in the selection tree, an aspect that is essential for a quantitative method's robustness but seldom, if ever, considered. |
| Databáze: | OpenAIRE |
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