In this research, Response surface methodology was employed for the removal of Cadmium in waste water from a distillery industry and the process parameters were optimized. Three process parameters including dosage, time and pH were optimized to obtain the best response of cadmium removal using the Box Behnken Design. The experimental data obtained were analyzed by the analysis of variance (ANOVA) and fitted to a quadratic equation. Numerical optimization applying desirability function was used to identify the optimum conditions for maximum removal of cadmium. The optimum conditions were found to be dosage of 378.36mg/L, time of 17.55mins and pH of 5.47 which achieved a removal efficiency of 99.2608%. Regarding the statistical analysis, results were assessed with various descriptive statistics such as p-value, lack of fit (F-test), coefficient of R2 determination and adequate precision.P-values ˂ 0.05 demonstrates that the model for those response variables were significant at the 99.57% confidence level. Regarding the fit of the model, the obtained R2 values were up to 0.9957 for cadmium. It is also noteworthy that response surface methodology also allowed optimizing of the coagulation/flocculation process. Employing this methodology, it is feasible to determine the optimum removal efficiency conditions for the treatment of waste water effluent without carrying out excess runs of experiment.
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