Experimental Design and Multiple Response Optimization. Using the Desirability Function in Analytical Methods Development

Overview

Journal Talanta

Publisher Elsevier

Specialty Chemistry

Date 2014 Apr 29

PMID 24767454

Citations 103

Authors

Luciana Vera Candioti

Maria M De Zan

Maria S Camara

Hector C Goicoechea

Affiliations

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Abstract

A review about the application of response surface methodology (RSM) when several responses have to be simultaneously optimized in the field of analytical methods development is presented. Several critical issues like response transformation, multiple response optimization and modeling with least squares and artificial neural networks are discussed. Most recent analytical applications are presented in the context of analytLaboratorio de Control de Calidad de Medicamentos (LCCM), Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, C.C. 242, S3000ZAA Santa Fe, ArgentinaLaboratorio de Control de Calidad de Medicamentos (LCCM), Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, C.C. 242, S3000ZAA Santa Fe, Argentinaical methods development, especially in multiple response optimization procedures using the desirability function.

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