Models to estimate overall analytical measurements uncertainty: assumptions, comparisons and applications

[en] Evaluation of analytical results reliability is of core importance as crucial decisions are taken with them. From the various methodologies to evaluate the fitness of purpose of analytical methods, overall measurement uncertainty estimation is more and more applied. Overall measurement uncertainty allows to combine simultaneously the remaining systematic influences to the random sources of uncertainty and allows assessing the reliability of results generated by analytical methods. However there are various interpretations on how to estimate overall measurement uncertainty, and thus various models for estimating it. Each model together with its assumptions has great impacts on the risks to abusively declare that analytical methods are suitable for their intended purpose. This review paper aims at i) summarizing the various models used to estimate overall measurement uncertainty, ii) provide their pros and cons, iii) review the main areas of application and iv) as a conclusion provide some recommendations when evaluating overall measurement uncertainty.

Disciplines :

Pharmacy, pharmacology & toxicology

Author, co-author :

Rozet, Eric ; Université de Liège - ULiège > Département de pharmacie > Chimie analytique

Rudaz, S.

Marini Djang'Eing'A, Roland ; Université de Liège - ULiège > Département de pharmacie > Chimie analytique

Ziemons, Eric ; Université de Liège - ULiège > Département de pharmacie > Département de pharmacie

Boulanger, Bruno ; Université de Liège - ULiège > Département de pharmacie > Analyse des médicaments

Hubert, Philippe ; Université de Liège - ULiège > Département de pharmacie > Chimie analytique

Language :

English

Title :

Models to estimate overall analytical measurements uncertainty: assumptions, comparisons and applications

Publication date :

2011

Journal title :

Analytica Chimica Acta

ISSN :

0003-2670

eISSN :

1873-4324

Publisher :

Elsevier, Amsterdam, Netherlands

Volume :

702

Pages :

160-171

Peer reviewed :

Peer Reviewed verified by ORBi

Available on ORBi :

since 30 June 2011

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