Evaluation of measurement uncertainty from in-house precision and recovery data

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Abstract

This Eurachem/CITAC guide is intended to be read in conjunction with the Eurachem guide "Quantifying uncertainty in Analytical Measurement" (QUAM). It discusses the evaluation of measurement uncertainty from in-house validation data, adding detail to the general guidance in QUAM. Key topics include modelling how measurement uncertainty varies with concentrations, and how to handle divergent recovery values from different reference materials. Laboratories now have access to simple algorithms for assessing measurement uncertainty, but for situations where these are insufficient to meet performance requirements, more advanced solutions are provided.

Fields of Study & Subjects

Pesticide Residue Analysis and Safety Analytical chemistry methods development Scientific Measurement and Uncertainty Evaluation

Publication details

Publisher
Faculdade de Ciências da Universidade de Lisboa
Publication date
15 March 2026
Document type
Book