Statistical Design of Experiments for Optimizing the Batch Conditions for the Degradation of Congo Red Dye using Ruthenium Based Catalyst

Sivasankaran, S and Dhingra, Sarvesht and Vairavel, P (2014) Statistical Design of Experiments for Optimizing the Batch Conditions for the Degradation of Congo Red Dye using Ruthenium Based Catalyst. International Journal of Science and Research, 3 (5). pp. 1777-1780. ISSN 2319-7064

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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.

Item Type: Article
Uncontrolled Keywords: Congo Red, Factorial Design, Ruthenium, Nickel oxide, impregnation, ANOVA, Regression, Sonication, Bimetallic Catalyst (Ru- NiO, AOP), Waste Water Treatment, Pareto, Residual plot
Subjects: Engineering > MIT Manipal > Chemical
Depositing User: MIT Library
Date Deposited: 10 Apr 2015 11:09
Last Modified: 10 Apr 2015 11:09
URI: http://eprints.manipal.edu/id/eprint/142361

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