Electro-Fenton method for dye removal of wastewater agroindustrial from flower production

Articles in Press

Document Type : Research Paper

Authors

1 Environmental Engineering, Faculty of Engineering, Universidad Católica de Oriente

2 Digital Innovation and Social Development Group (INDDES). Institución Universitaria Digital de Antioquia (IUDigital). Colombia.

3 Limnology and Water Resources Research Group. Universidad Católica de Oriente. Colombia.

10.22104/aet.2024.6395.1750

Abstract

Removal of recalcitrant dyes from agroindustrial wastewater production in flower processes represents a significant environmental challenge for flower industries worldwide. Advanced oxidation processes (AOPs) emerge as a clean and effective costly alternative for removing dye contaminants in wastewater. We use an electro-Fenton technique as an alternative for the treatment of colored wastewater from flower-producing crops in Colombia. Initially, physicochemical characterization of the wastewater was carried out by Chemical Oxygen Demand (COD), color, pH, conductivity, temperature, and oxidation-reduction potential. Subsequently, an electrochemical process was carried out through a power source and six iron electrodes. Variables such as hydrogen peroxide concentration (500 and 700 mg/l H2O2), amperage (1 and 2 A), and treatment time (60 and 90 minutes) were controlled. Based on a desirability function for multiple response analysis, the electro-Fenton process allowed a maximum COD removal of 80.9% and 88.5% for color (desirability criterion of 86%). Residence time in the reactor, voltage, current density, and concentration of hydrogen peroxide were the most significant variables. Finally, we explain the role of other physicochemical variables involved during the dye degradation process.

Keywords

Main Subjects

Advances in Environmental Technology

Articles in Press, Accepted Manuscript
Available Online from 16 March 2024

Files

History

  • Receive Date: 17 July 2023
  • Revise Date: 16 March 2024
  • Accept Date: 16 March 2024

Share

How to cite

Statistics