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Addressing Complex Matrix Interference Improves Multiplex Food Allergen Detection by Targeted LC-MS/MS.
Croote, Derek; Braslavsky, Ido; Quake, Stephen R.
Affiliation
  • Croote D; Department of Bioengineering , Stanford University , Stanford , California 94305 , United States.
  • Braslavsky I; Department of Bioengineering , Stanford University , Stanford , California 94305 , United States.
  • Quake SR; Robert H. Smith Faculty of Agriculture, Food, and Environment , The Hebrew University of Jerusalem , Rehovot 7610001 , Israel.
Anal Chem ; 91(15): 9760-9769, 2019 08 06.
Article in En | MEDLINE | ID: mdl-31339301
The frequent use of precautionary food allergen labeling (PAL) such as "may contain" frustrates allergic individuals who rely on such labeling to determine whether a food is safe to consume. One technique to study whether foods contain allergens is targeted liquid chromatography-tandem mass spectrometry (LC-MS/MS) employing scheduled multiple reaction monitoring (MRM). However, the applicability of a single MRM method to many commercial foods is unknown as complex and heterogeneous interferences derived from the unique composition of each food matrix can hinder quantification of trace amounts of allergen contamination. We developed a freely available, open source software package MAtrix-Dependent Interference Correction (MADIC) to identify interference and applied it with a method targeting 14 allergens. Among 84 unique food products, we found patterns of allergen contamination such as wheat in grains, milk in chocolate-containing products, and soy in breads and corn flours. We also found additional instances of contamination in products with and without PAL as well as highly variable soy content in foods containing only soybean oil and/or soy lecithin. These results demonstrate the feasibility of applying LC-MS/MS to a variety of food products with sensitive detection of multiple allergens in spite of variable matrix interference.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Allergens / Chromatography, Liquid / Tandem Mass Spectrometry / Food Analysis Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Anal Chem Year: 2019 Document type: Article Affiliation country: United States Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Allergens / Chromatography, Liquid / Tandem Mass Spectrometry / Food Analysis Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Anal Chem Year: 2019 Document type: Article Affiliation country: United States Country of publication: United States