Evaluation of E-Fenton Process in Decolourization of Azo Dye (Congo Red) using Response Surface Methodology

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Authors

  • Department of Chemical Engineering, Sathyabama Institute of Science and Technology, Chennai – 600119, Tamil Nadu ,IN
  • Department of Chemical Engineering, Sathyabama Institute of Science and Technology, Chennai – 600119, Tamil Nadu ,IN
  • Department of Chemical Engineering, Sathyabama Institute of Science and Technology, Chennai – 600119, Tamil Nadu ,IN
  • Department of Biotechnology, Sathyabama Institute of Science and Technology, Chennai – 600119, Tamil Nadu ,IN

DOI:

https://doi.org/10.18311/jsst/2019/22232

Keywords:

Congo Red, Decolourisation, Electrode Potential, Electro Fenton
environment

Abstract

Today there is a great focus on reusing the effluent water in the dyeing process. The objective of this research work is to effectively remove colour from textile wastewater using Electro Fenton (E-Fenton) process. E-Fenton process is the combination of Fenton and electrochemical processes. In this study decolorization of Congo red dye was investigated by E-Fenton process in a continuous reactor equipped with iron electrodes. Experiments were carried out in a reactor of working volume of 1L. The degree of decolourisation varies with the operating parameters. The optimal working conditions were maintained with an electrode potential difference of 2V, 40°C, pH 4. For Electro Fenton's process the parameters giving the highest efficiency were decolourisation percentage of 97%. The process parameters were optimized by using response surface methodology to understand the effectiveness of the interactions of variables when the maximum decolourization can be achieved. The experimental results proved that the combination of Fenton and Electrochemical process was an excellent method for treatment of textile wastewater.

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Published

2020-01-31

How to Cite

Sathish, S., Aravind Kumar, J., Prabu, D., & Narendrakumar, G. (2020). Evaluation of E-Fenton Process in Decolourization of Azo Dye (Congo Red) using Response Surface Methodology. Journal of Surface Science and Technology, 35(3-4), 120–127. https://doi.org/10.18311/jsst/2019/22232
Received 2018-09-12
Accepted 2019-05-13
Published 2020-01-31

 

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