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

preprint
submitted on 30.05.2018 and posted on 30.05.2018 by Dominik Braun, Chibundu N. Ezekiel, Wilfred A. Abia, Lukas Wisgrill, Gisela H. Degen, Paul C. Turner, Doris Marko, Benedikt Warth
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.

Funding

University of Vienna; MycoMarker project (BOKU research funding)

History

Email Address of Submitting Author

dominik.braun@univie.ac.at

Email Address(es) for Other Author(s)

benedikt.warth@univie.ac.at

Institution

University of Vienna

Country

Austria

ORCID For Submitting Author

0000-0002-9232-4285

Declaration of Conflict of Interest

No conflict of interest

Version Notes

Version 1.0

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