High-resolution mass spectrometry-based selection of peanut peptide biomarkers considering food processing and market type variation

Maxime Gavage, Kaatje Van Vlierberghe, Christof Van Poucke, Marc De Loose, Kris Gevaert, Marc Dieu, Patsy Renard, Thierry Arnould, Nathalie Gillard

Onderzoeksoutput: Bijdrage aan tijdschriftA1: Web of Science-artikel

Uittreksel

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.
TaalNederlands
TijdschriftFOOD CHEMISTRY
Volume304
ISSN0308-8146
DOI's
StatusGepubliceerd - 30-jan-2020

Trefwoorden

  • High-resolution mass spectrometry
  • Multiple allergen isoforms
  • Peanut origin
  • Peptide biomarker selection
  • Processed food products

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