ORBi: Rozet Eric - Models to estimate overall analytical measurements uncertainty: assumptions, comparisons and applications

Reference : Models to estimate overall analytical measurements uncertainty: assumptions, comparisons...


	Document type :	Scientific journals : Article
	Discipline(s) :	Human health sciences : Pharmacy, pharmacology & toxicology
	To cite this reference:	http://hdl.handle.net/2268/94812

Title :	Models to estimate overall analytical measurements uncertainty: assumptions, comparisons and applications
Language :	English
Author, co-author :	Rozet, Eric [Université de Liège - ULg > Département de pharmacie > Chimie analytique >]
	Rudaz, S. [ > > ]
	Marini Djang'Eing'A, Roland [Université de Liège - ULg > Département de pharmacie > Chimie analytique >]
	Ziemons, Eric [Université de Liège - ULg > Département de pharmacie > Département de pharmacie >]
	Boulanger, Bruno [Université de Liège - ULg > Département de pharmacie > Analyse des médicaments >]
	Hubert, Philippe [Université de Liège - ULg > Département de pharmacie > Chimie analytique >]
Publication date :	2011
Journal title :	Analytica Chimica Acta
Publisher :	Elsevier
Volume :	702
Pages :	160-171
Audience :	International
ISSN :	0003-2670
e-ISSN :	1873-4324
City :	Amsterdam
Country :	The Netherlands
Keywords :	[en] measurement uncertainty ; tolerance interval ; results quality ; method validation ; compliance assessment
Abstract :	[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.
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/2268/94812

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