The SFSTP guide on the validation of chromatographic methods for drug bioanalysis: from the Washington Conference to the laboratory

被引:215
作者
Hubert, P
Chiap, P
Crommen, J
Boulanger, B
Chapuzet, E
Mercier, N
Bervoas-Martin, S
Chevalier, P
Grandjean, D
Lagorce, P
Lallier, M
Laparra, MC
Laurentie, M
Nivet, JC
机构
[1] Univ Liege, Dept Analyt & Pharmaceut Chem, Inst Pharm, CHU, B-4000 Liege 1, Belgium
[2] Lilly Dev Ctr, B-1348 Louvain, Belgium
[3] QUALILAB, F-45000 Orleans, France
[4] INNOTHERA, F-94110 Arcueil, France
[5] Rhone Poulenc Rorer, F-92165 Antony, France
[6] Sanofi Rech, F-34184 Montpellier, France
[7] UPSA, F-92506 Rueil Malmaison, France
[8] Agence Med Vet, F-35032 Fougeres, France
[9] CERB, F-18800 Baugy, France
关键词
validation; bioanalysis; experimental design; selectivity; specificity; absolute recovery; response function; accuracy; linearity; precision; limit of detection; limit of quantitation;
D O I
10.1016/S0003-2670(99)00106-3
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
On the basis of the guidelines given in the Washington Conference report and the ICH (International Conference of Harmonisation) recommendations some suggestions about experimental design and data evaluation are proposed by an SFSTP Commission dedicated to the validation of chromatographic methods in bioanalysis. In a series of meetings, members of this Commission have tried to elaborate a rational, practical and statistically reliable strategy to assure the quality of the analytical results generated. This strategy has been formalised in a guide and the main suggestions made by the Commission are summarised in the present paper. The SFSTP guide has been produced to help analysts from the pharmaceutical industry to validate their bioanalytical methods, It is the result of a consensus between professionals having expertise in bioanalytical and/or statistical fields. The suggestions presented in this paper should therefore help the analyst to design and perform the minimum number of validation experiments needed to obtain all the required information to establish and demonstrate the reliability of its analytical procedure. The SFSTP guide suggests a validation strategy in two steps: a pre-validation and the validation itself. An experimental design is described for each of these steps and the main aspects discussed in the paper are related to the selection of the most appropriate calibration model to fit experimental data and the most suitable way to determine the limit(s) of quantitation and subsequently the calibration range as well as the optimum number of experiments to be performed in the validation phase. (C) 1999 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:135 / 148
页数:14
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