Downloads: 137 | Views: 430 | Monthly Hits: ⮙1
Research Paper | Chemical Engineering | India | Volume 3 Issue 5, May 2014 | Rating: 6.2 / 10
Statistical Design of Experiments for Optimizing the Batch Conditions for the Degradation of Congo Red dye Using Ruthenium Based Catalyst
S. Sivasankaran, Sarvesht Dhingra, P. Vairavel
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