Statistical Design of Experiments for Optimizing the Batch Conditions for the Degradation of Congo Red dye Using Ruthenium Based Catalyst
Journal: International Journal of Science and Research (IJSR) (Vol.3, No. 5)Publication Date: 2014-05-15
Authors : S. Sivasankaran; Sarvesht Dhingra; P. Vairavel;
Page : 1777-1780
Keywords : Congo Red; Factorial Design; Ruthenium; Nickel oxide; impregnation; ANOVA; Regression; Sonication;
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.
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Last modified: 2014-07-03 18:10:38