Performance of electrochemical oxidation over BDD anode for the treatment of different industrial dye-containing wastewater effluents

This paper presents the results of electrochemical oxidation of dye-containing wastewater over a BDD anode. Batch experiments were conducted at a fixed current density of 2.8 mA/cm2 to analyze the performance of the electrochemical process for the treatment of textile and paint wastewater utilizing different supporting electrolytes (Na2SO4 and NaCl). During electrolysis, emphasis was put on measuring different parameters such as chemical oxygen demand (COD), turbidity, conductivity, and color removal. The results revealed that BDD cell exhibited higher COD removal efficiency for textile wastewater than for paint wastewater. Adding supporting electrolytes had a positive effect on COD, turbidity, and color removal efficiencies for both textile and paint industry effluents. For textile wastewater, Na2SO4 and NaCl yielded a reduction in COD of 94% in 6 hours compared to 84% with no electrolyte added. The presence of Na2SO4 and NaCl in paint wastewater resulted in different COD removal percentages of 71 and 85% respectively with 21% in raw sample after 4 hours of treatment. The discoloration reached a percentage higher than 96% for both effluents and for both electrolytes. Under the same experimental conditions, all cases showed turbidity removal higher than 97%. The kinetic study showed that the reaction rate followed pseudo-first-order kinetics. HIGHLIGHTS This paper introduced the idea of using electrochemical oxidation as an AOP to treat real industrial WW effluents and to remove dye in particular.; Efficient application of BDD anodic oxidation for the treatment of textile and paint wastewater.; A comparison of the performance of the electrochemical cell was carried out for textile and paint wastewater.; The performance of the EC cell was enhanced by utilizing chloride and sulfate electrolytes (NaCl and Na2SO4) have been made.;

Abstract licence: CC BY-ND

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.