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.
Original language | English |
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Pages (from-to) | 132-150 |
Number of pages | 19 |
Journal | Nutrients |
Volume | 4 |
Issue number | 2 |
DOIs | |
State | Published - Feb 2012 |
Externally published | Yes |
Keywords
- Data dependent acquisition
- Food allergens
- Peanut
- Proteomics
- Selective reaction monitoring
- Shotgun
- Targeted