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