Sampling, sample preparation, and analytical variability associated with testing wheat for deoxynivalenol.
The variability associated with testing wheat for deoxynivalenol (DON) was measured using a 0.454 kg sample, Romer mill, 25 g comminuted subsample, and the Romer Fluoroquant analytical method. The total variability was partitioned into sampling, sample preparation, and analytical variability components. Each variance component was a function of the DON concentration and equations were developed to predict each variance component using regression techniques. The effect of sample size, subsample size, and number of aliquots on reducing the variability of the DON test procedure was also determined. For the test procedure, the coefficient of variation (CV) associated with testing wheat at 5 ppm was 13.4%. The CVs associated with sampling, sample preparation, and analysis were 6.3, 10.0, and 6.3%, respectively. For the sample variation, a 0.454 kg sample was used; for the sample preparation variation, a Romer mill and a 25 g subsample were used; for the analytical variation, the Romer Fluoroquant method was used. The CVs associated with testing wheat are relatively small compared to the CV associated with testing other commodities for other mycotoxins, such as aflatoxin in peanuts. Even when the small sample size of 0.454 kg was used, the sampling variation was not the largest source of error as found in other mycotoxin test procedures.
Whitaker
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TB
US Department of Agriculture, Agricultural Research Service, North Carolina State University, Raleigh 27695-7625, USA.
Hagler
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WM
Giesbrecht
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FG
Johansson
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AS
D000465:Algorithms; D003627:Data Interpretation, Statistical; D012107:Research Design; D012494:Sampling Studies; D014255:Trichothecenes / Q000032:analysis*; D014908:Triticum / Q000737:chemistry*
D014255:Trichothecenes; C007262:deoxynivalenol