Abstract
In this study, response surface methodology (RSM) based on a statistically designed experiment (CCD) and Placket-Burman design was used as tools for simulation and optimization of particles removal from paint effluent using coagulation method. The studied input variables were dosage, time and temperature. The un-modified montmorillonite clay (UC) and modified montmorillonite clay (MMC) were characterized for elemental/structural elucidation using XRF, FTIR and SEM techniques and the results indicate that UC is rich in silicion (Si) followed by aluminum (AL) and ferrous (Fe). The acid modification confers on MMC net positive charges, making these useful as coagulants. The RSM optimization revealed that 91.9% particles removal can be achieved at 3 g/L, 38 min and 37 °C, while PBD shows that optimal particles removal of 86.4% is possible at 1 g of MMC, 30min and 45oC. Experimental validated of RSM result (89.8% particles removal) correlated with the model predicted value. The results obtained indicate that MMC can be very effective in removal of particles from paint wastewater. In addition, RSM is a better optimization tool than PBD.
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