Determination of Mycotoxins in Dried Fruits Using LC-MS/MS-A Sample Homogeneity, Troubleshooting and Confirmation of Identity Study.

LC-MS dried fruits mycotoxins

Journal

Foods (Basel, Switzerland)
ISSN: 2304-8158
Titre abrégé: Foods
Pays: Switzerland
ID NLM: 101670569

Informations de publication

Date de publication:
21 Mar 2022
Historique:
received: 18 02 2022
revised: 11 03 2022
accepted: 17 03 2022
entrez: 25 3 2022
pubmed: 26 3 2022
medline: 26 3 2022
Statut: epublish

Résumé

To monitor co-exposure to toxic mycotoxins in dried fruits, it is advantageous to simultaneously determine multiple mycotoxins using a single extraction and liquid chromatography with tandem mass spectrometry (LC-MS/MS) analysis. In this study, we applied a stable isotope dilution and LC-MS/MS method to multi-mycotoxin analysis in dried fruits, selecting raisins, plums, figs, and cranberries for matrix extension. Samples were prepared using cryogenic grinding, followed by the fortification of carbon-13 (13C) uniformly labeled internal standards for twelve mycotoxins, and extraction using 50% acetonitrile. Homogeneity of prepared samples, defined as particle size Dv90 < 850 µm for the tested matrices, was characterized using a laser diffraction particle size analyzer, and reached using cryogenic grinding procedures. The majority of recoveries in the four matrices for aflatoxins and ochratoxin A spiked at 1−100 ng/g; fumonisins, T-2 toxin, HT-2 toxin, and zearalenone spiked at 10−1000 ng/g, ranged from 80 to 120% with relative standard deviations (RSDs) of <20%. Deoxynivalenol was not detected at 10 and 100 ng/g in plums, and additional troubleshooting procedures using liquid-liquid extraction (LLE), solid phase extraction (SPE), and elution gradient were evaluated to improve the detectability of the mycotoxin. Furthermore, we confirmed the identity of detected mycotoxins, ochratoxin A and deoxynivalenol, in incurred samples using enhanced product ion scans and spectral library matching.

Identifiants

pubmed: 35327316
pii: foods11060894
doi: 10.3390/foods11060894
pmc: PMC8954288
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Kai Zhang (K)

US Food and Drug Administration, Center for Food Safety and Applied Nutrition, Office of Regulatory Science, HFS-717. 5001 Campus Drive, College Park, MD 20740, USA.

Steven Tan (S)

US Food and Drug Administration, Center for Food Safety and Applied Nutrition, Office of Regulatory Science, HFS-717. 5001 Campus Drive, College Park, MD 20740, USA.
Joint Institute for Food Safety and Applied Nutrition, University of Maryland, 2134 Patapsco Building, 5145 Campus Drive, College Park, MD 20740, USA.

David Xu (D)

Joint Institute for Food Safety and Applied Nutrition, University of Maryland, 2134 Patapsco Building, 5145 Campus Drive, College Park, MD 20740, USA.

Classifications MeSH