title: Statistical designs and response surface techniques for the optimization of chromatographic systems.
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.
authors.affiliation: Universidade Federal da Bahia, Instituto de Química, Campus Universitário de Ondina, Salvador, Bahia 40170-290, Brazil. slcf@ufba.br
authors.forename: Sergio Luis Costa
authors.initials: SL
authors.lastname: Ferreira
authors.forename: Roy Edward
authors.initials: RE
authors.lastname: Bruns
authors.forename: Erik Galvão Paranhos
authors.initials: EG
authors.lastname: da Silva
authors.forename: Walter Nei Lopes
authors.initials: WN
authors.lastname: Dos Santos
authors.forename: Cristina Maria
authors.initials: CM
authors.lastname: Quintella
authors.forename: Jorge Mauricio
authors.initials: JM
authors.lastname: David
authors.forename: Jailson Bittencourt
authors.initials: JB
authors.lastname: de Andrade
authors.forename: Marcia Cristina
authors.initials: MC
authors.lastname: Breitkreitz
authors.forename: Isabel Cristina Sales Fontes
authors.initials: IC
authors.lastname: Jardim
authors.forename: Benicio Barros
authors.initials: BB
authors.lastname: Neto
mesh_terms: D002845:Chromatography / Q000295:instrumentation / Q000379:methods*; D013499:Surface Properties