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

Maxime Gavage, K. Van Vlierberghe, C. Van Poucke, M. De Loose, K. Gevaert, Marc Dieu, Patricia Renard, Thierry Arnould, Nathalie Gillard

Résultats de recherche: Contribution à un journal/une revueArticle

Résumé

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.
langue originaleAnglais
Numéro d'article125428
Nombre de pages10
journalFood Chemistry
Volume304
Les DOIs
étatPublié - 30 janv. 2020

Empreinte digitale

Food processing
Food Handling
Biomarkers
food processing
Mass spectrometry
peanuts
biomarkers
Mass Spectrometry
mass spectrometry
peptides
markets
Peptides
quantitative analysis
protein isoforms
food labeling
Food Labeling
allergens
selection criteria
Allergens
Labeling

Citer ceci

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title = "High-resolution mass spectrometry-based selection of peanut peptide biomarkers considering food processing and market type variation",
abstract = "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.",
keywords = "High-resolution mass spectrometry, Multiple allergen isoforms, Peanut origin, Peptide biomarker selection, Processed food products",
author = "Maxime Gavage and {Van Vlierberghe}, K. and {Van Poucke}, C. and {De Loose}, M. and K. Gevaert and Marc Dieu and Patricia Renard and Thierry Arnould and Nathalie Gillard",
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High-resolution mass spectrometry-based selection of peanut peptide biomarkers considering food processing and market type variation. / Gavage, Maxime; Van Vlierberghe, K.; Van Poucke, C.; De Loose, M.; Gevaert, K.; Dieu, Marc; Renard, Patricia; Arnould, Thierry; Gillard, Nathalie.

Dans: Food Chemistry , Vol 304, 125428, 30.01.2020.

Résultats de recherche: Contribution à un journal/une revueArticle

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AU - Gavage, Maxime

AU - Van Vlierberghe, K.

AU - Van Poucke, C.

AU - De Loose, M.

AU - Gevaert, K.

AU - Dieu, Marc

AU - Renard, Patricia

AU - Arnould, Thierry

AU - Gillard, Nathalie

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AB - 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.

KW - High-resolution mass spectrometry

KW - Multiple allergen isoforms

KW - Peanut origin

KW - Peptide biomarker selection

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