TITLE

Production of certified reference materials for mycotoxins: IRMM’s view on the assessment of uncertainties

AUTHOR(S)
Josephs, Ralf Dieter; Koeber, Robert; Linsinger, Thomas Peter Josef; Bernreuther, Alexander; Ulberth, Franz; Schimmel, Heinz
PUB. DATE
March 2004
SOURCE
Analytical & Bioanalytical Chemistry;Mar2004, Vol. 378 Issue 5, p1190
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Analytical difficulty and the economic importance of controlling mycotoxin levels in food and feed led the Community Bureau of Reference (BCR) to prepare a series of certified reference materials (CRM) for various mycotoxins. Because of the wide acceptance of these CRM and the need to ensure the comparability and traceability of measurements in the future it is necessary to prepare and certify new batches of mycotoxin reference materials (RM). In the following text two different approaches for evaluation of the characterisation uncertainty of CRM will be compared using the certification of aflatoxin M1 (AfM1) in milk powder as an example. The conventional approach is based on evaluation of characterisation exercise data; the alternative approach is based on measurement uncertainties of the employed analytical methods. Because laboratories are using totally different approaches to estimate the measurement uncertainties, combination of the uncertainties obtained from the participating laboratories was not recommended. Therefore, a new integrated approach for assessment of the measurement uncertainties of the analytical methods on the basis of additional data collected during the characterisation exercise will be described. The conventional approach was found to be the most appropriate and economical approach to evaluate the characterisation uncertainty as a characterisation exercise must be performed anyway to establish the property values of candidate (C)RM, irrespective of whether or not reliable measurement uncertainties can be provided by the laboratories. An integrated approach for assessment of measurement uncertainties based on additional characterisation data as applied here to enable use of an uncertainty-based approach provides more information but is too time-consuming and cost-intensive to become common practice.
ACCESSION #
15124898

 

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