Statistical Design of Experiments for Optimizing the Batch Conditions for the Degradation of Congo Red dye Using Ruthenium Based Catalyst

S. Sivasankaran ^[7] | Sarvesht Dhingra ^[3] | P. Vairavel ^[2]

Abstract: To reduce the total number of experiments so as to achieve highest degradation or removal of Congo red dye using Ruthenium and Nickel Oxide impregnated over Activated Carbon as a Catalyst; 4 factors (Sonication time; concentration of dye. Amount of catalyst and Hydrogen Peroxide quantity) and 2 variables were selected (16 Experiments) using factorial design. Using the Statistic tools; we obtained various plots including ANOVA; Fit model; Interaction between the factors ; individual effect of the factors and finally the validation of the Design of experiment using the Regression equation obtained.

Keywords: Congo Red, Factorial Design, Ruthenium, Nickel oxide, impregnation, ANOVA, Regression, Sonication

Edition: Volume 3 Issue 5, May 2014,

Pages: 1777 - 1780

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Statistical Design of Experiments for Optimizing the Batch Conditions for the Degradation of Congo Red dye Using Ruthenium Based Catalyst

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