Document Detail


Experimental design and multiple response optimization. Using the desirability function in analytical methods development.
MedLine Citation:
PMID:  24767454     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
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.
Authors:
Luciana Vera Candioti; María M De Zan; María S Cámara; Héctor C Goicoechea
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Publication Detail:
Type:  REVIEW     Date:  2014-2-12
Journal Detail:
Title:  Talanta     Volume:  124C     ISSN:  1873-3573     ISO Abbreviation:  Talanta     Publication Date:  2014 Jun 
Date Detail:
Created Date:  2014-4-28     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  2984816R     Medline TA:  Talanta     Country:  -    
Other Details:
Languages:  ENG     Pagination:  123-138     Citation Subset:  -    
Copyright Information:
Copyright © 2014 Elsevier B.V. All rights reserved.
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