2017
DOI: 10.1007/s12649-017-0117-5
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Co(II)-pyrophyllite as Catalyst for Phenol Oxidative Degradation: Optimization Study Using Response Surface Methodology

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Cited by 24 publications
(3 citation statements)
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“…Response surface methodology (RSM) is a statistical method for solving multivariable problems by using a reasonable experimental design method and obtaining certain data through experiments. For this purpose, a multiple quadratic regression equation is used to fit the functional relationship between the factors and response values, and the optimal process parameters are determined through analysis of the regression equation ( Bezerra et al, 2008 ; Yemi and Mazza, 2012 ; Gaidoumi et al, 2019 ; Yabalak et al, 2018 ). The Box-Behnken design (BBD) software, which is a quadratic response surface, has been applied to approximate a response function for experimental data that cannot be described by linear functions ( Seo and Han, 2014 ).…”
Section: Response Surface Methodology (Rsm)mentioning
confidence: 99%
“…Response surface methodology (RSM) is a statistical method for solving multivariable problems by using a reasonable experimental design method and obtaining certain data through experiments. For this purpose, a multiple quadratic regression equation is used to fit the functional relationship between the factors and response values, and the optimal process parameters are determined through analysis of the regression equation ( Bezerra et al, 2008 ; Yemi and Mazza, 2012 ; Gaidoumi et al, 2019 ; Yabalak et al, 2018 ). The Box-Behnken design (BBD) software, which is a quadratic response surface, has been applied to approximate a response function for experimental data that cannot be described by linear functions ( Seo and Han, 2014 ).…”
Section: Response Surface Methodology (Rsm)mentioning
confidence: 99%
“…e aim of this study is to optimize the adsorption of the mixture of dyes by the response surface methodology (RSM). e design used for the optimization, belonging to RSM, is the central composite design (CCD); its equation is polynomial of second order [47]:…”
Section: Optimization Of Adsorptionmentioning
confidence: 99%
“…Especially in the field of catalytic chemistry, RSM optimized reaction conditions were successfully utilized to explore the preparation and/or the performance of other type catalyst [16]- [24]. The RSM-optimized reaction conditions were successfully applied to synthesize/prepare the desired catalysts [16]- [18], to catalyze the substrates conversion [19], [20], and to simultaneously use for the two aspects above [21]- [24], further offering very useful and reliable data for the corresponding chemical industry. However, it seems that, RSM was seldom used in optimizing the reaction conditions of hydrocarbon-oxidation catalyzed by the metalloporphyrinate and corresponding supported catalysts.…”
Section: Introductionmentioning
confidence: 99%