Central composite modeling for electrochemical degradation of paint manufacturing plant wastewater: One-step/two-response optimization

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Öztürk D., Dagdas E., Fil B. A., Bashir M. J.

Environmental Technology and Innovation, vol.21, 2021 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 21
  • Publication Date: 2021
  • Doi Number: 10.1016/j.eti.2020.101264
  • Journal Name: Environmental Technology and Innovation
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, BIOSIS, CAB Abstracts, Compendex
  • Keywords: Response surface methodology, Paint manufacturing plant, Wastewater, Electrooxidation
  • Van Yüzüncü Yıl University Affiliated: Yes


© 2020 Elsevier B.V.Paint manufacturing wastewaters contain highly toxic and organic biorefractory substances and have adverse effects on human health. In this study, the removal of color and chemical oxygen demand (COD) from a paint manufacturing plant (PMW) wastewater by electrochemical degradation using Ti/Pt anodes were investigated with a five-factor central composite model. pH (4–11), temperature (10–40°C), NaCl concentration (10–100 mM), current (5–15 A) and feed rate (10–40 mL/min.) were selected as independent operating parameters. The results obtained were analyzed with analysis of variance and a quadratic model was developed to examine the effects of parameters affecting degradation conditions. Optimum conditions for maximizing color and COD removal while minimizing energy consumption were determined by numerical optimization and found to be pH of 4, temperature of 39.99 °C, NaCl concentration of 100 mM, feed rate of 40 mL/min and current of 5.21 A. Under optimum conditions, the estimated color removal was 79.68% and the COD removal was 80.54%. The compatibility of the predicted optimum conditions was confirmed by experimental data. In experiments performed under optimum conditions, the energy consumed by the system was calculated as 8.51 kWh/m3 and the operating cost to treat 1 m3 PMW was determined as $1.02.