Optimisation of electrocoagulation process in the treatment of poultry slaughterhouse wastewater

A screening design of the experiment (DoE) was used to identify the most important factors influencing the electrocoagulation removal process. These variables were identified as current density, pH, reaction time, and EcoflushTM (with or without). The central composite design (CCD) with forty runs was used in the present study. Design-Expert® Software allowed the fitting of quadratic empirical models onto the experimental data using multiple regression analysis. The software performed multiple regression analysis, including ANOVA at 95% confidence interval (CI), to evaluate the interactions between

process variables and the responses. The relationship between the responses and four independent variables were evaluated by developing the second-order polynomial mathematical models. The fitted models only included significant terms (p>0.05) except when maintenance of the hierarchal structure was required. Optimisation analysis was performed to find combinations of process variables

that would maximize %COD and %FOG reduction using the proposed best-fitting model equations.