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STREAMLINING THE ANALYTICAL WORKFLOW FOR MULTIPLEX MS/MS ALLERGEN DETECTION IN PROCESSED FOODS

Articolo
Data di Pubblicazione:
2017
Abstract:
Allergenic ingredients in pre-packaged foods are regulated by EU legislation mandating their inclusion on labels. In order to protect allergic consumers, sensitive analytical methods are required for detect allergen traces in different food products. As a follow-up to our previous investigations, an optimized, sensitive ,label-free LC-MS/MS method for multiplex detection of five allergenic ingredients in a processed food matrix is proposed. A cookie base was chosen as a complex food matrix and home-made cookies incurred with whole egg, skimmed milk, soy flour, ground hazelnut and ground peanut were prepared at laboratory scale. In order to improve the analytical workflow both protein extraction and purification protocols were optimized in order to achieve a sensitive streamlined SRM based analytical method for allergens detection in incurred cookies. The effect of baking on the detection of selected markers was also investigated .
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
processed food; multi-allergen analysis; on-line SPE; SRM; mass spectrometry; cookie
Elenco autori:
DE ANGELIS, Elisabetta; Monaci, Linda; Pilolli, Rosa
Autori di Ateneo:
DE ANGELIS ELISABETTA
MONACI LINDA
PILOLLI ROSA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/324269
Pubblicato in:
FOOD CHEMISTRY
Journal
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URL

http://www.sciencedirect.com/science/article/pii/S0308814616317885
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