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J Chromatogr A. 2007 Jul 27;1158(1-2):2-14. Epub 2007 Mar 18.

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

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1
Universidade Federal da Bahia, Instituto de Química, Campus Universitário de Ondina, Salvador, Bahia 40170-290, Brazil. slcf@ufba.br

Abstract

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.

PMID:
17416377
DOI:
10.1016/j.chroma.2007.03.051
[Indexed for MEDLINE]
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