1974
DOI: 10.1007/bf02632897
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Variability of aflatoxin test results

Abstract: Using 12 lb samples, 280 g subsamples, the Waltking method of analysis, and densitometric procedures, the sampling, subsampling, and analytical variances associated with aflatoxin test procedures were estimated. Regression analysis indicated that each of the above variance components is a function of the concentration of aflatoxin in the population being tested. Results, for the test procedures given above, showed that sampling constitutes the greatest single source of error, followed by subsampling and analys… Show more

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Cited by 103 publications
(66 citation statements)
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“…Most other countries have adopted similar regulations (Food and Agriculture Organization 2004). Because individual peanut seeds can be contaminated with aflatoxin concentrations as high several hundred thousand to a million mg kg -1 coupled with the fact that usually very few seeds are contaminated, sampling error makes it very difficult to ensure that shelled lots meet the low regulatory limits (Whitaker et al 1974). The scientific research community, in conjunction with peanut industries, have worked very hard to ensure that edible-grade peanuts contain the lowest aflatoxin concentrations possible.…”
Section: Introductionmentioning
confidence: 99%
“…Most other countries have adopted similar regulations (Food and Agriculture Organization 2004). Because individual peanut seeds can be contaminated with aflatoxin concentrations as high several hundred thousand to a million mg kg -1 coupled with the fact that usually very few seeds are contaminated, sampling error makes it very difficult to ensure that shelled lots meet the low regulatory limits (Whitaker et al 1974). The scientific research community, in conjunction with peanut industries, have worked very hard to ensure that edible-grade peanuts contain the lowest aflatoxin concentrations possible.…”
Section: Introductionmentioning
confidence: 99%
“…In contrast, a large number of papers have appeared, related to secondary sampling schemes for aflatoxin B 1 (particularly on its distribution in a lot and on related sampling plans) (Whitaker et al 1974(Whitaker et al , 1976(Whitaker et al , 1979(Whitaker et al , 1994), but only a few studies deal with some Fusarium toxins (Hart and Schabenberger 1998;Whitaker et al 1998;Whitaker et al 2000). Conversely, specific studies focused on the distribution of OTA-contaminated units are not yet available, apart from the vague assumption that ''representative sampling'' for aflatoxins is more difficult than sampling for other known mycotoxins in food products.…”
Section: Introductionmentioning
confidence: 99%
“…They use the Monte Carlo procedures (18) for detennining the acceptance probabilities for aflatoxin testing programs because it is a means for accounting for interrelated factors such as multiple samples, subsamples and analyses. Their approach in attacking this problem is described in an excellent manner (19) in a publication which breaks down the total error involved with the analysis of peanuts into its component parts and expresses these specific errors as coefficients of variation (C.V.). With peanuts, the total error is the error associated with sampling, the error associated with subsampling and the error associated with analysis.…”
Section: Associated Errorsmentioning
confidence: 99%