STATISTICAL MODELLING OF THE ADSORPTIVE DEPHENOLATION OF PETROLEUM INDUSTRY WASTEWATER USING IONIC LIQUID TREATED CLAY

Abstract

In this paper, response surface methodology (RSM) was employed in modelling and optimizing the adsorption characteristics of phenol unto ionic liquid-based hybrid clay (IL-C). The effect of adsorbent dosage, contact time, effluent temperature and effluent pH as independent variables were studied; while removal efficiency was considered as the response variable. Second-order polynomial regression model successfully elucidated the effect of the independent variables on the dephenolation process. A coefficient of determination (R2) value of 0.98, model F-value of 83.52, P-value (< 0.0001) and low value of the coefficient of variation (0.81%) corroborates the suitability of second-order polynomial regression model. Furthermore, the optimization result showed that the optimum operating conditions for realizing the maximum removal efficiency (91.67 %) were; 25 min, 40 0C, pH 6.6 and 1.5g adsorbent mass.

Keywords

• Adsorption
• dephenolation
• response surface methodology
• ionic liquid
• clay
• statistical modelling

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