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

Authors : Matthew N ABONYI, Chukwunonso O ANIAGOR, Matthew Chukwudi MENKITI

Pages : 1099-1112

View : 28 | Download : 4

Publication Date : 2021-10-05

Article Type : Research Paper

Abstract :In this paper, response surface methodology insert ignore into journalissuearticles values(RSM); was employed in modelling and optimizing the adsorption characteristics of phenol unto ionic liquid-based hybrid clay insert ignore into journalissuearticles values(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 insert ignore into journalissuearticles values(R2); value of 0.98, model F-value of 83.52, P-value insert ignore into journalissuearticles values(< 0.0001); and low value of the coefficient of variation insert ignore into journalissuearticles values(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 insert ignore into journalissuearticles values(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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