Validation of a mass spectrometry-based method for milk traces detection in baked food

Lamberti Cristina, Acquadro Elena, Corpillo Davide, Giribaldi Marzia, Decastelli Lucia, Garino Cristiano, Arlorio Marco, Ricciardi Carlo, Laura Cavallarin, Giuffrida Maria Gabriella

Research output: Contribution to journalArticlepeer-review

Abstract

A simple validated LC-MS/MS-based method was set up to detect milk contamination in bakery products, taking the effects of food processing into account for the evaluation of allergen recovery and quantification. Incurred cookies were prepared at eight levels of milk contamination and were cooked to expose all milk components, including allergenic proteins, to food processing conditions. Remarkable results were obtained in term of sufficiently low LOD and LOQ (1.3 and 4 mg/kg cookies, respectively). Precision was calculated as intra-day repeatability (RSD in the 5-20% range) and inter-day repeatability (4 days; RSD never exceeded 12%). The extraction recovery values ranged from 20% to 26%. Method applicability was evaluated by analysing commercial cookies labelled either as "milk-free" or "may contain milk". Although the ELISA methodology is considered the gold standard for detecting allergens in foods, this robust LC-MS/MS approach should be a useful confirmatory method for assessing and certifying "milk-free" food products.

Original languageEnglish
Pages (from-to)119-127
Number of pages9
JournalFood Chemistry
Volume199
DOIs
Publication statusPublished - 15 May 2016
Externally publishedYes

Keywords

  • Bakery products
  • Food processing
  • Hidden allergens
  • LC-MS/MS
  • Milk-free labelling

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