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

Nutrients

Romina Pedreschi¹  Jørgen Nørgaard¹ 

[1] European Commission (EC), DG Joint Research Centre (JRC), Institute for Reference Materials and Measurements (IRMM), Geel 2440, Belgium;

关键词: data dependent acquisition;    peanut;    food allergens;    proteomics;    shotgun;    selective reaction monitoring;    targeted;   

DOI  :  10.3390/nu4020132

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2012 by the authors; licensee MDPI, Basel, Switzerland.