Optimising uncertainty to judge fitness-for-purpose in the validation of measurement procedures.

Authors

Analytical Methods Committee Amctb No

Published in

Analytical methods : advancing methods and applications. Jul 14, 2026. Epub Jul 14, 2026.

Abstract

Validation of a measurement procedure is performed in order to ensure that the particular procedure is fit for its intended purpose. This has usually focussed on the analytical method. A new approach has recently been published that takes into account the combined Measurement Uncertainty (MU) arising from the sampling procedure as well as the analytical method. A key factor is the calculation of a 'target uncertainty' value, against which the actual uncertainty values that have been estimated can be compared. A computer program called OptiMU has been written to perform the necessary calculations. An example of its use is provided.

PMID:
42446921
Bibliographic data and abstract were imported from PubMed on 14 Jul 2026.

Read full publication at:
Please sign in to see all details.

Stats

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.