Matrix Uncertainty (MaU) values

MaU values

► Interactive joint-EURLs database and Summary of matrix uncertainty values

► ISO 19036 Webpage of ISO TC34 SC9 to access databases on matrix uncertainty currently available (in particular the one built by French standardization committee for food microbiology, AFNOR V08B)

Use of MaU values

According to the EURLs Campylobacter-CPS-Lm Guide on the implementation of the Standard EN ISO 19036:2019, matrix uncertainty corresponds to the uncertainty associated with taking the test portion from the laboratory sample; it is therefore different from the uncertainty linked to sampling (taking a sample from a batch of production). It is linked to the degree of the spatial heterogeneity of the microorganisms within the matrix. It is thus expected to be large for solid or multi-component matrices, and low for homogeneous matrices. It is assumed in the standard as being independent of the analytical method used (including target bacteria) and of the laboratory estimating it.

The standard allows using values of matrix uncertainty already obtained for laboratory samples expected to have a similar matrix uncertainty (matrix homogeneity). We thus suggest using values of matrix uncertainty, per matrix type, obtained in a collaborative study organised by the three EURLs Campylobacter, CPS, Lm, together with the associated NRLs networks.

> The values are available here <

The report (V1, 16 June 2022) of the study is available on Zenodo: DOI

The matrix uncertainty values obtained in this collaborative study can be used by any laboratory for the calculation of combined uncertainty when analysing the same matrices or matrices expected to have a similar matrix uncertainty.

How to provide additional data?

The 3 EURLs aim at continuing this study and enlarging the list of matrices and corresponding values of matrix uncertainty. To submit new data, please contact any of the three EURLs by email (Campylobacter, Coagulase+ Staphylococci and Listeria monocytogenes) to receive the experimental design and the file for reporting data. Prerequisites to include new data are that:

► experimental design followed the setup according to EN ISO 19036 (clause 6.3),

► method as described in this report has been followed,

► valid estimates of matrix uncertainty have been retrieved,

► values correspond to matrices not already included in the list.