Reference : Models to estimate overall analytical measurements uncertainty: assumptions, comparisons...
Scientific journals : Article
Human health sciences : Pharmacy, pharmacology & toxicology
http://hdl.handle.net/2268/94812
Models to estimate overall analytical measurements uncertainty: assumptions, comparisons and applications
English
Rozet, Eric mailto [Université de Liège - ULg > Département de pharmacie > Chimie analytique >]
Rudaz, S. [ > > ]
Marini Djang'Eing'A, Roland mailto [Université de Liège - ULg > Département de pharmacie > Chimie analytique >]
Ziemons, Eric mailto [Université de Liège - ULg > Département de pharmacie > Département de pharmacie >]
Boulanger, Bruno [Université de Liège - ULg > Département de pharmacie > Analyse des médicaments >]
Hubert, Philippe mailto [Université de Liège - ULg > Département de pharmacie > Chimie analytique >]
2011
Analytica Chimica Acta
Elsevier
702
160-171
Yes (verified by ORBi)
International
0003-2670
1873-4324
Amsterdam
The Netherlands
[en] measurement uncertainty ; tolerance interval ; results quality ; method validation ; compliance assessment
[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.
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/94812

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