| Literature DB >> 17416377 |
Sergio Luis Costa Ferreira1, Roy Edward Bruns, Erik Galvão Paranhos da Silva, Walter Nei Lopes Dos Santos, Cristina Maria Quintella, Jorge Mauricio David, Jailson Bittencourt de Andrade, Marcia Cristina Breitkreitz, Isabel Cristina Sales Fontes Jardim, Benicio Barros Neto.
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.Mesh：
Year: 2007 PMID： 17416377 DOI： 10.1016/j.chroma.2007.03.051
Source DB: PubMed Journal: J Chromatogr A ISSN： 0021-9673 Impact factor: 4.759