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Unraveling Early-Life Mycotoxin Exposures via LC-MS/MS Breast Milk Analysis

Authors :
Dominik Braun
Chibundu N. Ezekiel
Wilfred A. Abia
Lukas Wisgrill
Gisela H. Degen
Paul C. Turner
Doris Marko
Benedikt Warth
Publication Year :
2018
Publisher :
American Chemical Society (ACS), 2018.

Abstract

Infants are particularly susceptible towards the toxic effects of food contaminants including mycotoxins. However, multi-mycotoxin exposure assessment in breast milk has received very limited attention so far, resulting in a poor understanding of exposure during the early months of life. Here, we present the development and first application of a highly sensitive, specific and quantitative assay assessing up to 28 mycotoxins including regulated (aflatoxins, ochratoxin A, deoxynivalenol, zearalenone) and emerging mycotoxins as well as key metabolites by LC-MS/MS. After careful optimization of the sample preparation procedure, a QuEChERS (quick, easy, cheap, effective, rugged and safe) protocol combined with a freeze-out step was utilized for method validation after spiking blank breast milk matrix. The limits of quantification varied between 0.009 and 2.9 ng/mL, for most analytes extraction recovery (74-116%) and intermediate precision (2-25%) were satisfactory. To assess multi-mycotoxin exposure for the first time in breast milk, the method was applied to examine contamination in 75 samples from Ogun State, Nigeria. Most of the samples were either entirely free of mycotoxins or contaminated to a minimal extent. Interestingly, the most abundant mycotoxin was beauvericin, which was not reported in this biological fluid before, with concentrations up to 0.019 ng/mL. In conclusion, the method demonstrated to be fit for purpose to determine and quantify low background contaminations in human breast milk. Based on the high sensitivity of the novel analytical method, it was possible to deduce that tolerable daily intake values were not exceeded by breastfeeding in the examined infants.

Subjects

Subjects :
food and beverages

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........cd6aba75e71922792024e10b03221722