NDLI: MRM3-based LC-MS multi-method for the detection and quantification of nut allergens

Content Provider	Springer Nature Link
Author	Korte, Robin Brockmeyer, Jens
Copyright Year	2016
Abstract	Food allergies have become a global challenge to food safety in industrialized countries in recent years. With governmental monitoring and legislation moving towards the establishment of threshold allergen doses, there is a need for sensitive and quantitative analytical methods for the determination of allergenic food contaminants. Targeted proteomics employing liquid chromatography–mass spectrometry (LC-MS) has emerged as a promising technique that offers increased specificity and reproducibility compared to antibody and DNA-based technologies. As the detection of trace levels of allergenic food contaminants also demands excellent sensitivity, we aimed to significantly increase the analytical performance of LC-MS by utilizing multiple reaction monitoring cubed (MRM3) technology. Following a bottom-up proteomics approach, including a straightforward sample preparation process, 38 MRM3 experiments specific to 18 proteotypic peptides were developed and optimized. This permitted the highly specific identification of peanut, almond, cashew, hazelnut, pistachio, and walnut. The analytical performance of the method was assessed for three relevant food matrices with different chemical compositions. Limits of detection were around 1 μg/g or below in fortified matrix samples, not accounting for the effects of food processing. Compared to an MRM-based approach, the MRM3-based method showed an increase in sensitivity of up to 30-fold. Regression analysis demonstrated high linearity of the MRM3 signal in spiked matrix samples together with robust intersample reproducibility, confirming that the method is highly applicable for quantitative purposes. To the best of our knowledge, we describe here the most sensitive LC-MS multi-method for food allergen detection thus far. In addition, this is the first study that systematically compares MRM3 with MRM for the analysis of complex foods. Graphical abstract Allergen detection by MRM3
Starting Page	7845
Ending Page	7855
Page Count	11
File Format	PDF
ISSN	16182642
Journal	Analytical and Bioanalytical Chemistry
Volume Number	408
Issue Number	27
e-ISSN	16182650
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2016-09-02
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Food allergens Mass spectrometry MRM3 Marker peptides Tree nut allergy Analytical Chemistry Biochemistry Laboratory Medicine Characterization and Evaluation of Materials Food Science Monitoring/Environmental Analysis
Content Type	Text
Resource Type	Article
Subject	Analytical Chemistry Biochemistry

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