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Related Experiment Videos

Sampling wheat for deoxynivalenol.

Thomas B Whitaker1, Winston M Hagler, Francis G Giesbrecht

  • 1U.S. Department of Agriculture, Agricultural Research Service, North Carolina State University, Raleigh 27695-7625, USA.

Advances in Experimental Medicine and Biology
|April 2, 2002
PubMed
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This study quantifies variability in deoxynivalenol (DON) testing in wheat. Sampling variability was not the largest error source, unlike in other mycotoxin tests.

Area of Science:

  • Agricultural Science
  • Food Safety
  • Analytical Chemistry

Background:

  • Deoxynivalenol (DON) is a prevalent mycotoxin in wheat, posing risks to food safety and animal health.
  • Accurate quantification of DON is crucial for regulatory compliance and risk assessment.
  • Understanding variability in testing methods is essential for reliable deoxynivalenol detection.

Purpose of the Study:

  • To measure and partition the total variability in deoxynivalenol (DON) testing of wheat.
  • To develop predictive models for variability components based on DON concentration.
  • To assess the impact of sample size, subsample size, and aliquot number on DON test procedure variability.

Main Methods:

  • Utilized a 0.454 kg wheat sample, Romer mill, and 25 g comminuted subsample.

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  • Employed the Romer Fluoroquant analytical method for deoxynivalenol quantification.
  • Partitioned total variability into sampling, sample preparation, and analytical components using regression techniques.

    • Main Results:

    • Total coefficient of variation (CV) for DON testing at 5 ppm was 13.4%.
    • Individual CVs were: sampling (6.3%), sample preparation (10.0%), and analysis (6.3%).
    • Sampling variation was not the largest source of error, even with a small sample size.

    Conclusions:

    • The variability in deoxynivalenol testing of wheat is manageable and relatively low compared to other mycotoxin analyses.
    • Developed regression equations allow prediction of variability components based on DON concentration.
    • The findings provide valuable insights for optimizing deoxynivalenol testing protocols in wheat.