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Comprehensive peptide marker identification for the detection of multiple nut allergens using a non-targeted LC-HRMS
Robin Korte1, Silke Lepski1, Jens Brockmeyer2
1Department of Chemistry, Institute of Food Chemistry, Westfälische Wilhelms-Universität Münster, Corrensstr. 45, 48149, Münster, Germany.
Reliable food allergy detection methods are crucial. This study introduces a new liquid chromatography-mass spectrometry (LC-MS) approach using high-resolution mass spectrometry (HRMS) to detect multiple nut allergens in processed foods with high sensitivity.
Area of Science:
- Food safety analysis
- Analytical chemistry
- Mass spectrometry
Background:
- Food allergies are a growing global concern, necessitating sensitive detection methods.
- Existing methods for allergen detection have limitations, and a comprehensive approach is needed.
- Mass spectrometry (MS) shows promise, but standardized marker peptides and multi-allergen methods are lacking.
Purpose of the Study:
- To develop a consistent approach for creating liquid chromatography-mass spectrometry (LC-MS) multi-screening methods for food allergens.
- To identify and validate specific tryptic marker peptides for allergenic nuts.
- To establish the first LC-MS multi-allergen detection method using high-resolution mass spectrometry (HRMS).
Main Methods:
- Utilized shotgun proteomics to identify proteotypic peptides from six allergenic nut species.
- Verified marker peptide specificity and sensitivity through rigorous testing.
- Developed and applied an LC-HRMS method for detecting trace nut contaminations in processed foods.
Main Results:
- Identified 44 suitable tryptic marker peptides from six allergenic nut species.
- Developed an LC-HRMS method with limits of detection (LODs) below 10 μg/g for several nuts.
- Demonstrated the untargeted capability of HRMS for retrospective multi-allergen identification.
Conclusions:
- Presented the largest consensus set of analytical markers for nut allergens to date.
- Established the first multi-allergen detection method based on LC-HRMS.
- The developed method offers sensitive and comprehensive allergen detection, comparable to existing techniques.
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