2017
DOI: 10.21577/1984-6835.20170070
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Optimization of Analytical Methods Using Response Surface Methodology - Part I: Process Variables

Abstract: The present paper approaches the application of response surface methodology (RSM) in the optimization of variables for analytical methods development. Some basic principles of this multivariate method are presented and characteristics of the main experimental designs are discussed. Examples of RSM application for optimization of analytical methods is also presented to illustrate the potentialities of these chemometric tools.

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Cited by 46 publications
(30 citation statements)
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“…For accomplishment of glycolysis process, the optimization of response surface methodology with the Box-Behnken design [19,20] was carried out, aiming the monomer yield response optimization to 3 variables: reaction time, temperature and mass ratio between ethylene glycol/PET in 3 levels (1, 0, +1), allowing to verify the interaction between variables, where the number of experiments is given by Equation 2:…”
Section: Experiments Designmentioning
confidence: 99%
“…For accomplishment of glycolysis process, the optimization of response surface methodology with the Box-Behnken design [19,20] was carried out, aiming the monomer yield response optimization to 3 variables: reaction time, temperature and mass ratio between ethylene glycol/PET in 3 levels (1, 0, +1), allowing to verify the interaction between variables, where the number of experiments is given by Equation 2:…”
Section: Experiments Designmentioning
confidence: 99%
“…Para orientar a validação os órgãos ou agências responsáveis elaboram diretrizes que devem ser seguidas pelos laboratórios e analistas quando na execução de metodologias próprias de uso analítico (COELHO et al, 2018). Tais diretrizes, previamente estudadas e exaustivamente verificadas, quando adotadas pelos laboratórios fornecem aos órgãos a garantia de que os dados por eles produzidos são corroborados pelas próprias técnicas propostas e que carregam a confiabilidade da certificação estabelecida (NOVAES et al, 2017).…”
Section: Validation Of Analytical Methods For Quantification Of Fipronunclassified
“…Atualmente, a quimiometria é definida como uma ciência que emprega uma abordagem multidisciplinar, que inclui também matemática e estatística, e vem se tornando indispensável para pesquisadores modernos de química analítica. 68,69 O principal objetivo da quimiometria é converter uma grande quantidade de dados em informações significantes e úteis. Inúmeros algoritmos computacionais e estatísticos são aplicados para a realização dessa tarefa.…”
Section: Libs E Quimiometriaunclassified