2011
DOI: 10.1007/s11356-011-0668-0
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Application of central composite face-centered design and response surface methodology for the optimization of electro-Fenton decolorization of Azure B dye

Abstract: Optimum conditions suggested by the second-order polynomial regression model for attaining maximum decolorization were dye concentration 4.83 mg/L, electrode surface area 15 cm(2), voltage 14.19 V, and treatment time of 34.58 min.

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Cited by 81 publications
(22 citation statements)
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“…The closeness of the responses of these 6 experiments could be a sign of the accuracy of the experiment process. 32 The determination coefficient (R 2 ) quantitatively evaluated the correlation between the experimental data and the predicted responses. The obtained polynomial model is shown as follows: Statistical testing of this model was implemented by analysis of variance (ANOVA) and the results for the coded variable levels are given in Table IV.…”
Section: Optimization By Cdd Under Rsmmentioning
confidence: 99%
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“…The closeness of the responses of these 6 experiments could be a sign of the accuracy of the experiment process. 32 The determination coefficient (R 2 ) quantitatively evaluated the correlation between the experimental data and the predicted responses. The obtained polynomial model is shown as follows: Statistical testing of this model was implemented by analysis of variance (ANOVA) and the results for the coded variable levels are given in Table IV.…”
Section: Optimization By Cdd Under Rsmmentioning
confidence: 99%
“…32 The determination coefficient (R 2 ) quantitatively evaluated the correlation between the experimental data and the predicted responses. 32 In this study, X 1 , X 2 , X 3 , X 4 , X 1 X 3 , X 1 X 4 , X 1 2 , X 3 2 and X 4 2 were significant model terms. (8)) were compared and listed in Table III.…”
Section: Optimization By Cdd Under Rsmmentioning
confidence: 99%
“…2b depicts the diagram of the residuals based on the predicted response percent efficiency. The Pareto chart is used widely in quality control settings to identify critical factors leading to failure or defects in a process (Rosales et al, 2012). In this chart, there is a vertical line that represents a 95% test for significance effect.…”
Section: Ccd Results For Adsorption Of the Porphyrinmentioning
confidence: 99%
“…It requires much fewer experiments than a full-factorial design, enables the study of the effects of each factor (X) and their interactions over the responses (Y) and can be used for prediction and optimization of responses [10]. A CCFD contains an embedded factorial augmented with axial points that allow curvature estimation [11]. Generation and evaluation of the experimental design was carried out using the Design Expert Ò software (Version 7, Stat-Ease Inc., Minneapolis, MN).…”
Section: Experimental Designmentioning
confidence: 99%