Experimental design and multiple response optimization. Using the desirability function in analytical methods development

Talanta ◽  
2014 ◽  
Vol 124 ◽  
pp. 123-138 ◽  
Author(s):  
Luciana Vera Candioti ◽  
María M. De Zan ◽  
María S. Cámara ◽  
Héctor C. Goicoechea
Keyword(s):  
Experimental Design ◽  
Analytical Methods ◽  
Desirability Function ◽  
Multiple Response ◽  
Methods Development ◽  
Multiple Response Optimization ◽  
Response Optimization ◽  
Analytical Methods Development

scholarly journals Interaction of p-synephrine with p-chloranil: experimental design and multiple response optimization

RSC Advances ◽  
2016 ◽  
Vol 6 (69) ◽  
pp. 64967-64976 ◽  
Author(s):  
Marwa S. Elazazy ◽  
K. Ganesh ◽  
V. Sivakumar ◽  
Yasser H. A. Huessein
Keyword(s):  
Experimental Design ◽  
Factorial Design ◽  
Performance Characteristic ◽  
Present Approach ◽  
Multiple Response ◽  
Multiple Responses ◽  
Characteristic P ◽  
Multiple Response Optimization ◽  
Response Optimization

A multivariate factorial design was proposed for determination ofp-synephrine. Novelty of present approach stems from consolidating multiple responses into a unified performance characteristic.

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