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