4.4 Article

Determination of mycotoxins in different food commodities by ultra-high-pressure liquid chromatography coupled to triple quadrupole mass spectrometry

Journal

RAPID COMMUNICATIONS IN MASS SPECTROMETRY
Volume 23, Issue 12, Pages 1801-1809

Publisher

WILEY
DOI: 10.1002/rcm.4077

Keywords

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Funding

  1. Laboratory of Public Health, Valencia
  2. Generalitat Valenciana (Plataforma de Seguridad Alimentaria [A-07/08]

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A rapid multianatyte-multiclass method with little sample manipulation has been developed for the simultaneous determination of eleven mycotoxins in different food commodities by using ultra-high-pressure liquid chromatography coupled to triple quadrupole mass spectrometry (UHPLC/MS/MS). Toxins were extracted from the samples with acetonitrile/water (80:20, v/v) 0.1% HCOOH and, after a two-fold dilution with water, directly injected into the system. Thanks to the fast high-resolution separation of UHPLC, the eleven mycotoxins were separated by gradient elution in only 4 min. The method has been validated in three food matrices (maize kernels, dry pasta (wheat), and eight-multicereal babyfood (wheat, maize, rice, oat, barley, rye, sorghum, millet)) at four different concentration levels. Satisfactory recoveries were obtained (70-110%) and precision (expressed as relative standard deviation) was typically below 15% with very few exceptions. Quantification of samples was carried out with matrix-matched standards calibration. The lowest concentration successfully validated in sample was as tow as 0.5 mu g/kg for aflatoxins and ochratoxin A in babyfood, and 20 mu g/kg for the rest of the selected mycotoxins in all matrices tested. Deoxynivatenol could be only validated at 200 mu g/kg, due the poor sensitivity for this mycotoxin analysis. With only two exceptions (HT-2 and deoxynivalenol), the limits of detection (LODs), estimated for a signal-to-noise ratio of 3 from the chromatograms of samples spiked at the lowest level validated, varied between 0.1. and 1 mu g/kg in the three food matrices tested. The method was applied to the analysis of different kinds of samples. Positive findings were confirmed by acquiring two transitions (Q quantification, q confirmation) and evaluating the Q/q ratio. Copyright (C) 2009 John Wiley & Sons, Ltd.

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