Abstract

There is a raising demand for sensitive and high throughput MS based methods for screening purposesespecially tailored to the detection of allergen contaminants in different food commodities. A challengingissue is represented by complex food matrices where the antibody-based kits commercially availablemight encounter objective limitations consequently to epitope masking phenomena due to a multitudeof interfering compounds arising from the matrix. The performance of a method duly optimized forthe extraction and simultaneous detection of soy, egg and milk allergens in a cookie food matrix by microHPLC-ESI-MS/MS, is herein reported. Thanks to the innovative configuration and the versatility shown by the dual cell linear ion trap MS used, the most intense and reliable peptide markers were first identified by untargeted survey experiment, and subsequently employed to design an ad hoc multitarget SRM method, based on the most intense transitions recorded for each selected precursor peptide. A sample extraction and purification protocol was optimized also including an additional step based on sonication, which resulted in a considerable improvement in the detection of milk allergen peptides. Data Dependent TM Acquisition scheme allowed to fill out a tentative list of potential peptide markers, which were further filtered upon fulfilling specific requirements. A total of eleven peptides were monitored simultaneously for confirmation purposes of each allergenic contaminant and the two most sensitive peptide markers/protein were selected in order to retrieve quantitative information. Relevant LODs were found to range from 0.1 g/g for milk to 0.3 g/g for egg and 2 g/g for soy.

Autore Pugliese

• Monaci Linda , Pilolli Rosa

Tutti gli autori

• L. Monaci; R. Pilolli; E. De Angelis; M. Godula A. Visconti

Titolo volume/Rivista

Journal of chromatography

Anno di pubblicazione

2014

ISSN

0021-9673

ISBN

Non Disponibile

Numero di citazioni Wos

Nessuna citazione

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Numero di citazioni Scopus

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Settori ERC

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Codici ASJC

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