Current challenges in detecting food allergens by shotgun and targeted proteomic approaches: A case study on traces of peanut allergens in baked cookies

ROMINA PAOLA PEDRESCHI PLASENCIA, Jørgen Nørgaard, Alain Maquet

Research output: Contribution to journalArticlepeer-review

41 Scopus citations

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 languageEnglish
Pages (from-to)132-150
Number of pages19
JournalNutrients
Volume4
Issue number2
DOIs
StatePublished - 1 Jan 2012

Keywords

  • Data dependent acquisition
  • Food allergens
  • Peanut
  • Proteomics
  • Selective reaction monitoring
  • Shotgun
  • Targeted

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