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Nutrients 2012, 4(2), 132-150; doi:10.3390/nu4020132
Article

Current Challenges in Detecting Food Allergens by Shotgun and Targeted Proteomic Approaches: A Case Study on Traces of Peanut Allergens in Baked Cookies

,
 and
*
European Commission (EC), DG Joint Research Centre (JRC), Institute for Reference Materials and Measurements (IRMM), Geel 2440, Belgium
* Author to whom correspondence should be addressed.
Received: 25 December 2011 / Revised: 8 February 2012 / Accepted: 13 February 2012 / Published: 21 February 2012
(This article belongs to the Special Issue Foodomics 2011)
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Abstract

There is a need for selective and sensitive methods to detect the presence of food allergens at trace levels in highly processed food products. In this work, a combination of non-targeted and targeted proteomics approaches are used to illustrate the difficulties encountered in the detection of the major peanut allergens Ara h 1, Ara h 2 and Ara h 3 from a representative processed food matrix. Shotgun proteomics was employed for selection of the proteotypic peptides for targeted approaches via selective reaction monitoring. Peanut presence through detection of the proteotypic Ara h 3/4 peptides AHVQVVDSNGNR (m/z 432.5, 3+) and SPDIYNPQAGSLK (m/z 695.4, 2+) was confirmed and the developed method was able to detect peanut presence at trace levels (≥10 μg peanut g−1 matrix) in baked cookies.
Keywords: data dependent acquisition; peanut; food allergens; proteomics; shotgun; selective reaction monitoring; targeted data dependent acquisition; peanut; food allergens; proteomics; shotgun; selective reaction monitoring; targeted
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).
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Pedreschi, R.; Nørgaard, J.; Maquet, A. Current Challenges in Detecting Food Allergens by Shotgun and Targeted Proteomic Approaches: A Case Study on Traces of Peanut Allergens in Baked Cookies. Nutrients 2012, 4, 132-150.

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