Reference : Usefulness of capability indices in the framework of analytical methods validation
Scientific journals : Article
Human health sciences : Pharmacy, pharmacology & toxicology
http://hdl.handle.net/2268/102535
Usefulness of capability indices in the framework of analytical methods validation
English
Bouabidi, Abderrahim mailto [Université de Liège - ULg > > > Doct. sc. bioméd. & pharma. (Bologne)]
Ziemons, Eric mailto [Université de Liège - ULg > Département de pharmacie > Département de pharmacie >]
Marini Djang'Eing'A, Roland mailto [Université de Liège - ULg > Département de pharmacie > Chimie analytique >]
Hubert, Cédric mailto [Université de Liège - ULg > Département de pharmacie > Chimie analytique >]
Talbi, M. [ > > ]
Bourichi, H. [ > > ]
El Karbane, M. [ > > ]
Boulanger, Bruno [ > > ]
Hubert, Philippe mailto [Université de Liège - ULg > Département de pharmacie > Chimie analytique >]
Rozet, Eric mailto [Université de Liège - ULg > Département de pharmacie > Chimie analytique >]
2012
Analytica Chimica Acta
Elsevier
714
47-56
Yes (verified by ORBi)
International
0003-2670
1873-4324
Amsterdam
The Netherlands
[en] Capability ; tolerance intervals ; drug products ; method validation ; fit for purpose
[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 ( ) has been 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 has been 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 ; Others
http://hdl.handle.net/2268/102535
10.1016/j.aca.2011.11.019

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