2018
DOI: 10.21577/1984-6835.20180030
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Optimization of Analytical Methods Using Response Surface Methodology - Part II: Mixture Variables

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

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Cited by 11 publications
(7 citation statements)
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References 6 publications
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“…The analytical response obtained is dependent on the proportions of each component. 24 In this study, a mixture design with restrictions was applied, involving three variables: ultrapure water volume (X 1 ), volume of 30% peroxide (X 2 ) and volume of 4.0 mol L −1 nitric acid (X 3 ). Four different approaches were used to evaluate the digestion procedure, at a confidence level of 95%: (i) D; (ii) MR; (iii) RCC and (iv) residual acidity.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The analytical response obtained is dependent on the proportions of each component. 24 In this study, a mixture design with restrictions was applied, involving three variables: ultrapure water volume (X 1 ), volume of 30% peroxide (X 2 ) and volume of 4.0 mol L −1 nitric acid (X 3 ). Four different approaches were used to evaluate the digestion procedure, at a confidence level of 95%: (i) D; (ii) MR; (iii) RCC and (iv) residual acidity.…”
Section: Resultsmentioning
confidence: 99%
“…22,23 These optimization techniques are particularly used in analytical chemistry in order to make a procedure more efficient and sensitive. 24 The purpose of this research was to develop a digestion procedure through the application of mixture design to optimize the components of a mixture (water, hydrogen peroxide and diluted nitric acid) for the digestion of different fruit tissues (seed, peel and pulp) of Casearia fasciculata. The design was evaluated through two general responses (desirability and multiple response) for ten elements, residual acidity and residual carbon content.…”
Section: Introductionmentioning
confidence: 99%
“…73,74 A quimiometria pode ser dividida em quatro grandes vertentes: (i) planejamento fatorial e metodologia de superfície de respostas; (ii) análise exploratória de dados químicos; (iii) modelos de classificação; e (iv) calibração multivariada. [75][76][77][78][79] Todas as vertentes referidas são amplamente empregadas no desenvolvimento de métodos analíticos por LIBS.…”
Section: Libs E Quimiometriaunclassified
“…[20][21][22] The planning application can determine or quantify the process parameters influence on the desired responses, providing reliable results and consistent statistical analyzes. 23 In addition, it is possible to optimize the process by reducing the time and cost, generating greater productivity when selecting the best reaction conditions.…”
Section: Introductionmentioning
confidence: 99%