Abstract
The paper describes the removal of the anti-inflammatory “Ketoprofen (KTP)” by electrocoagulation process using Response Surface Methodology (RSM). pH, Current density, initial ketoprofen concentration were considered as input variables for RSM and the percentage removal (y%) of KTP was chosen as the response parameter. The disappearance of the molecule of KTP in synthetic wastewater and the appearance of by-products were followed by high performance liquid chromatography (HPLC) analysis. Second-order model was obtained and showed the classification of these parameters based on their level of significance. Pareto analysis result and the values of Student’s distribution showed that current density had the most important effect on the response, which has a positive effect on the response, but the initial KTP concentration has a negative effect on the response. The analysis of variance (ANOVA) revealed an important coefficient of determination value (R2 = 96.41%) between removal efficiency and predicted one by RSM developed model. Graphical response surface and counter plots were used to locate the optimum point. The electrocoagulation process was able to achieve 100% of KTP removal yield in 30 min.
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