Next generation of food allergen quantification using mass spectrometric systems

Koeberl, Martina, Clarke, Dean, and Lopata, Andreas L. (2014) Next generation of food allergen quantification using mass spectrometric systems. Journal of Proteome Research, 13 (8). pp. 3499-3509.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website:


Food allergies are increasing worldwide and becoming a public health concern. Food legislation requires detailed declarations of potential allergens in food products and therefore an increased capability to analyze for the presence of food allergens. Currently antibody based methods are mainly utilized to quantify allergens, however these methods have several disadvantages. Recently mass spectrometry (MS) techniques have been developed and applied to food allergen analysis. At present 46 allergens from 11 different food sources have been characterized using different MS approaches and some specific signature peptides have been published. However, quantification of allergens using MS is not routinely employed. This review compares the different aspects of food allergen quantification using advanced MS techniques including multiple reaction monitoring (MRM). The latter provides low limits of quantification (LOQ) for multiple allergens in simple or complex food matrices, while being robust and reproducible. This review provides an overview of current approaches to analyze food allergens, with specific focus on MS systems and applications.

Item ID: 33409
Item Type: Article (Research - C1)
ISSN: 1535-3907
Keywords: food allergy, mass spectrometry, MRM, quantification, signature peptide, soy, wheat, peanut, crustacean
Funders: National Measurement Institute, Australian Research Council (ARC)
Research Data:,
Date Deposited: 06 Aug 2014 04:35
FoR Codes: 03 CHEMICAL SCIENCES > 0304 Medicinal and Biomolecular Chemistry > 030406 Proteins and Peptides @ 95%
11 MEDICAL AND HEALTH SCIENCES > 1199 Other Medical and Health Sciences > 119999 Medical and Health Sciences not elsewhere classified @ 5%
SEO Codes: 92 HEALTH > 9299 Other Health > 929999 Health not elsewhere classified @ 100%
Downloads: Total: 8
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page