Statistical approaches to determine analytical variability and specifications: application of experimental design and variance component analysis

被引:4
|
作者
Tsang, PKS
Larew, JSA
Larew, LA
Miyakawa, TW
Hofer, JD
机构
[1] Eli Lilly & Co, Lilly Res Labs, Lafayette, IN 47902 USA
[2] Eli Lilly & Co, Tippecanoe Labs, Lafayette, IN 47902 USA
[3] Eli Lilly & Co, Lilly Corp Ctr, Lilly Res Labs, Indianapolis, IN 46285 USA
关键词
analytical variability; experimental design; variance component analysis; statistically derived specifications;
D O I
10.1016/S0731-7085(97)00266-5
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Assessment of analytical variability is recognized as an important factor for the establishment of specifications. Estimation of the variance for an analytical procedure can be accomplished using a variety of approaches. The approach of variance component analysis was applied retrospectively, as well as prospectively, to estimate analytical variance. The prospective approach also included the use of experimental design. Recent new drug substance examples illustrating these approaches are presented. In these examples, the analytical property of potency was evaluated. Factors examined in the experimental design include laboratory, day, analyst, instrument and column. Process variability can also be determined by variance component analysis. For a stable drug substance, combining the analytical and process variances provides an estimate on the total variance for the analytical property of potency. With the total variability statistically derived, an appropriate specification that is consistent with process and analytical capability can be established. (C) 1998 Elsevier Science B.V. All rights reserved.
引用
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页码:1125 / 1141
页数:17
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