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Artículo

A Multiple Response Function for Optimization of Analytical Strategies Involving Multi-elemental Determination

Novaes, Cleber G.; Ferreira, Sergio L.C.; Neto, João H. S.; de Santana, Fernanda A.; Portugal, Lindomar A.; Goicoechea, Hector CasimiroIcon
Fecha de publicación: 03/2016
Editorial: Bentham Science Publishers
Revista: Current Analytical Chemistry
ISSN: 1573-4110
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Otras Ciencias Químicas

Resumen

This paper presents a comparison between a multiple response function (MR) proposed for optimization of analyticalstrategies involving multi-element determinations with the desirability function D, which was proposed by Derringerand Suich in 1980. The MR function is established by the average of the sum of the normalized responses for eachanalyte considering the highest value of these. This comparison was performed during the optimization of an spectrometerfor quantification of six elements using inductively coupled plasma optical emission spectrometry (ICP OES). Four instrumentalfactors were studied (auxiliary gas flow rate, plasma gas flow rate, nebulizer gas flow rate and radio frequencypower). A (24) two-level full factorial design and a Box Behnken matrix were developed to evaluate the performance ofthe two multiple response functions. The results found demonstrated great similarity in the interpretations obtained consideringthe effect values of the factors calculated using the two-level full factorial design employing the two multiple responses.Also a Box Behnken design was performed to compare the applicability of the two multiple response functions inquadratic models. The results achieved demonstrated high correlation (0.9998) between the regression coefficients of thetwo models. Also the response surfaces obtained showed great similarity in terms of formats and experimental conditionsfound for the studied factors. Thus, the multiple response (MR) is presented as a simple tool, easy to manipulate, efficientand very helpful for application in analytical procedures involving multi-response. An overview of applications of thisfunction in several multivariate optimization tools as well as in various analytical techniques is presented.
Palabras clave: Multiple Response Function , Experimental Design , Desirability Function D , Icp Oes
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/56003
DOI: https://dx.doi.org/10.2174/1573411011666150722220335
URL: http://www.eurekaselect.com/133390/article
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Articulos(CCT - SANTA FE)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - SANTA FE
Citación
Novaes, Cleber G.; Ferreira, Sergio L.C.; Neto, João H. S.; de Santana, Fernanda A.; Portugal, Lindomar A.; et al.; A Multiple Response Function for Optimization of Analytical Strategies Involving Multi-elemental Determination; Bentham Science Publishers; Current Analytical Chemistry; 12; 2; 3-2016; 94-101
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