2020
DOI: 10.1016/j.arabjc.2020.05.013
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Combinatıon of a Box-Behnken design technique with response surface methodology for optimization of the photocatalytic mineralization of C.I. Basic Red 46 dye from aqueous solution

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Cited by 51 publications
(17 citation statements)
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“…The significance of regression coefficient parameter was checked through t -tests. The p -values were utilized to study how interaction effects significance, which may elaborate the interaction patterns between the variables [ 35 ]. The coefficient of correlation (R), the determination coefficient (R 2 ) and the adjusted R 2 values were used to indicate the regression model fit quality, and a statistics test was used to determine its statistical significance.…”
Section: Methodsmentioning
confidence: 99%
“…The significance of regression coefficient parameter was checked through t -tests. The p -values were utilized to study how interaction effects significance, which may elaborate the interaction patterns between the variables [ 35 ]. The coefficient of correlation (R), the determination coefficient (R 2 ) and the adjusted R 2 values were used to indicate the regression model fit quality, and a statistics test was used to determine its statistical significance.…”
Section: Methodsmentioning
confidence: 99%
“…A satisfactory correlation between actual and predictive values was presented, as distribution of plots was balanced throughout the linear line, indicating a good fit of the model. The 3D response surface and 2D contour plots are graphical representation of the regression equation to determine the optimum values of the variables [31][32][33] . Interaction of each operating parameters in achieving highest carbon fixation rate of Isochrysis sp.…”
Section: Screening Of Carbon Fixation Abilitiesmentioning
confidence: 99%
“…Experimental design is a powerful statistical tool that helps to reduce the process variability and the number of required resources (time, reagents, and experimental work). Conversely, the response surface methodology (RSM) facilitates the solving of multivariable equations and evaluates the relative significance of several affecting factors even in the presence of complex interaction [26]. In this study, finite element analysis was performed by using the factors that affect heat generation as design variables-including film thickness, capacity, and epoxy-and by establishing an experimental design based on the Box-Behnken method.…”
Section: Analysis Methods 221 Box-behnken Experimental Designmentioning
confidence: 99%