Pretreatment of Food Industry Wastewater by Coagulation: Process Modeling and Optimization

Abstract

In this study, coagulation processes using FeCl₃6H₂O and Al₂(SO₄)₃18H₂O as coagulants were employed and designed for chemical oxygen demand (COD) and total suspended solids (TSS) removal from food industry wastewater via response surface methodology (RSM). RSM was used for the optimization of coagulation processes and evaluation of the effects and interactions between process variables (pH, coagulant dosage and reaction time). ANOVA was used to analyze the experimental data obtained in the study and secondary regression models were developed by using Statgraphics Centurion XVI.I software. The optimum conditions were pH 9, dosage 1500 mg/L and time 25 min for maximum COD removal efficiency for FeCl₃6H₂O and pH 9, dosage 1493 mg/L and time 25 min for Al₂(SO₄)₃18H₂O. Under optimum conditions, COD and TSS removal efficiencies were 46.4% and 96.7% for FeCl₃6H₂O and 31.2% and 96.2% for Al₂(SO₄)₃18H₂O, respectively. ANOVA results showed that the responses of model have high coefficient values (R² > 0.80), and hence the second order regression model can be explained with these experimental data. The proposed model fits very well with the experimental data with R² of 0.9677 for COD and 0.9543 for TSS removal for FeCl₃6H₂O and 0.9456 for COD and 0.9260 for TSS removal for Al₂(SO₄)₃18H₂O, respectively. Model results showed that the RSM for coagulation processes using both coagulants is a powerful tool for optimizing the experimental conditions. Moreover, it can be concluded that both coagulation processes may be an effective alternative pre-treatment process for food industry wastewater.

Keywords

• Al2(SO4)318H2O,Coagulation,FeCl36H2O,Optimization,RSM

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