Statistical Design of Experiments for Optimizing the Batch Conditions for the Degradation of Congo Red dye Using Ruthenium Based Catalyst
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
How to Cite?: S. Sivasankaran, Sarvesht Dhingra, P. Vairavel, "Statistical Design of Experiments for Optimizing the Batch Conditions for the Degradation of Congo Red dye Using Ruthenium Based Catalyst", Volume 3 Issue 5, May 2014, International Journal of Science and Research (IJSR), Pages: 1777-1780, https://www.ijsr.net/getabstract.php?paperid=201412, DOI: https://dx.doi.org/10.21275/201412