Evaluation of measurement uncertainties of an analytical method for the determination of aflatoxin M1 in milk and milk powder

Rd, Josephs; Stefan, Harbeck; Berndt, Alexander; Schimmel, Heinz

doi:10.1007/bf02946093

Cited by 1 publication

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“…A good assessment of the main sources of uncertainty of analytical methods for determination of AfM 1 was obtained on the basis of experience gained from in-house validation and measurement uncertainty calculation [19]. The expanded measurement uncertainty (U i ) in AfM 1 determination is obtained by quadratic summation of the standard uncertainties arising from five main sources -sample mass, common AfM 1 calibrant, external calibration, precision, and recovery -as calculated below and by multiplication with a coverage factor according to Eq.…”

Section: Measurement Uncertainties Of Accompanying Measurementsmentioning

confidence: 99%

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

Josephs

Koeber

Linsinger

et al. 2004

Analytical and Bioanalytical Chemistry

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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 M(1) (AfM(1)) 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.

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Section: Measurement Uncertainties Of Accompanying Measurementsmentioning

confidence: 99%