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Estimation of Measurement Uncertainty for the HPLC Analysis of Deoxynivalenol in Wheat  

Ok, Hyun-Ee (Food Safety Research Center, Korea Food Research Institute)
Chang, Hyun-Joo (Food Safety Research Center, Korea Food Research Institute)
Ahn, Jang-Hyuk (Research and Development Center, Namyang Dairy Products Corporation)
Cho, Jae-Young (Food Contaminants Team, Korea Food and Drug Administration)
Chun, Hyang-Sook (Food Safety Research Center, Korea Food Research Institute)
Publication Information
Korean Journal of Food Science and Technology / v.41, no.3, 2009 , pp. 258-264 More about this Journal
Abstract
The principal objective of this study was to estimate the measurement uncertainty associated with determination of deoxynivalenol (DON), a mycotoxin generated by Fusarium strain, in food. In service of this goal, wheat as a food matrix was analyzed via high performance liquid chromatography-ultraviolet (HPLC-UV) detection using an immunoaffinity column for clean-up. The uncertainty sources in the measurement process were identified by sample weight, final volume, and sample concentration in extraction volume with components including standard stock solution, working standard solution, 5 standard solutions, calibration curve, matrix, and instrument. The expanded uncertainty for DON at a concentration of 300 ${\mu}g/kg$ was estimated as 71.62 ${\mu}g/kg$ using a coverage factor of two, which provides a confidence level of approximately 95%. The most influential component in the uncertainty sources was the recovery of the wheat matrix, followed by the calibration curve. These results indicate that all efforts may be directed toward reducing the uncertainties of the recovery of the wheat matrix and the calibration curve to obtain a reliable HPLC-UV method for DON analysis in wheat.
Keywords
deoxynivalenol; wheat; HPLC; uncertainty; immunoaffinity column;
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