JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING, no.3, 2025 (SCI-Expanded)
Printing ink wastewater (PIW) may pose serious environmental risks in the discharged media if not treated properly. The high organic load and toxic characteristics of this effluent disable the utilization of conventional biological treatment methods. Thus, in this work efficiency of the electro-oxidation (EO) process was examined for total organic carbon (TOC) removal from chemically pretreated PIW. In the pretreatment stage, 79.49 % TOC removal was provided by FeCl3 coagulation but the remaining concentration was still higher than 1000 mg/L. EO process was applied for further purification of PIW. In the process, optimum experimental conditions (current density, pH, temperature, and NaCl dosage) were determined by batch tests. The efficiency of EO was evaluated by considering TOC removal and energy consumption values, simultaneously. Overall results of the study showed that a combination of coagulation and EO provided a total of 97.63 % TOC removal. The second major aim of the study is to develop a neural network model to predict the TOC removal efficiency of EO. Among the various neural network architectures, single hidden layer feed forward neural network with 10 neurons provided sufficient prediction (R=0.99) with only 10 Epochs.