Statistical designs and response surface techniques for the optimization of chromatographic systems

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• 作者：Sergio Luis Costa Ferreira ; Roy Edward Bruns ; Erik Galvã ; o Paranhos da Silva ; Walter Nei Lopes dos Santos ; Cristina Maria Quintella ; Jorge Mauricio David ; Jailson Bittencourt de Andrade ; Marcia Cr
• 关键词：Review ; Multivariate techniques ; Doehlert matrix ; Box– ; Benhken design ; Central composite design ; Chromatographic methods ; Optimization
• 刊名：Journal of Chromatography A
• 出版年：2007
• 出版时间：27 July 2007
• 年：2007
• 卷：1158
• 期：1-2
• 页码：2-14
• 全文大小：307 K

文摘

This paper describes fundamentals and applications of multivariate statistical techniques for the optimization of chromatographic systems. The surface response methodologies: central composite design, Doehlert matrix and Box–Behnken design are discussed and applications of these techniques for optimization of sample preparation steps (extractions) and determination of experimental conditions for chromatographic separations are presented. The use of mixture design for optimization of mobile phases is also related. An optimization example involving a real separation process is exhaustively described. A discussion about model validation is presented. Some applications of other multivariate techniques for optimization of chromatographic methods are also summarized.