Reference : ARE CAPABILITY INDICES USEFULL TO ASSESS ANALYTICAL METHODS VALIDITY ?
Scientific congresses and symposiums : Poster
Human health sciences : Pharmacy, pharmacology & toxicology
http://hdl.handle.net/2268/105109
ARE CAPABILITY INDICES USEFULL TO ASSESS ANALYTICAL METHODS VALIDITY ?
English
Rozet, Eric mailto [Université de Liège - ULg > Département de pharmacie > Chimie analytique >]
Bouabidi, Abderrahim mailto [Université de Liège - ULg > > > Doct. sc. bioméd. & pharma. (Bologne)]
Talbi, M. [ > > ]
Bouklouze, A. [ > > ]
Bourichi, H. [ > > ]
El Karbane, M. [ > > ]
Boulanger, B. [ > > ]
Hubert, Philippe mailto [Université de Liège - ULg > Département de pharmacie > Chimie analytique >]
Feb-2012
Yes
No
International
12th International Symposium on Hyphenated Techniques for Chromatography (HTC-12)
du 1er au 3 Février 2012
Bruges
Belgium
[en] Capability index ; Validation ; tolerance interval
[en] Analytical methods capability evaluation can be a useful methodology to assess the fitness of purpose of these methods for their future routine application. However, care on how to compute the capability indices has to be made. Indeed, the commonly used formulas to compute capability indices such as Cpk, will highly overestimate the true capability of the methods. Especially during methods validation or transfer, there are only few experiments performed and, using in these situations the commonly applied capability indices to declare a method as valid or as transferable to a receiving laboratory will conduct to inadequate decisions.
In this work, an improved capability index, namely Cpk-tol and the corresponding estimator of proportion of non conforming results ( ) is proposed. Through Monte-Carlo simulations, they have been shown to greatly increase the estimation of analytical methods capability in particular in low sample size situations as encountered during methods validation or transfer. Additionally, the usefulness of this capability index is illustrated through several case studies covering applications commonly encountered in the pharmaceutical industry. Finally a methodology to determine the optimal sample size required to validate analytical methods is also given using the proposed capability metric.
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/105109

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