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Experimental design and multiple response optimization. Using the desirability function in analytical methods development
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DOI：10.1016/j.talanta.2014.01.034.png)
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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 Bioquimica y Ciencias Biologicas, Universidad Nacional del Litoral, CC. 242, S3000ZAA Santa Fe, ArgentinaLaboratorio de Control de Calidad de Medicamentos (LCCM), Facultad de Bioquimica y Ciencias Biologicas, Universidad Nacional del Litoral, CC. 242, S3000ZAA Santa Fe, Argentinaical methods development, especially in multiple response optimization procedures using the desirability function. (C) 2014 Elsevier BM. All rights reserved.
Keyword:
Experimental design
Response transformation
Multiple response optimization
Desirability function
期刊
IF:
6.1
论文数:
2.6W
被引数:
6.3W
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