Adsorption of phenol based organic pollutants on activated carbon from multi-component dilute aqueous solutions

被引:122
作者
Khan, AR
AlBahri, TA
AlHaddad, A
机构
[1] Department of Chemical Engineering, Faculty of Engineering and Petroleum, Kuwait University, Safat 13060
关键词
organic pollutants; multi-component; equilibrium; adsorption isotherm; activated carbon;
D O I
10.1016/S0043-1354(97)00043-2
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Five organic phenolic compounds (phenol, o-chlorophenol, m-chlorophenol, p-chlorophenol and m-cresol) hale been used to determine the adsorption isotherms for single and bisolute systems from dilute aqueous solutions on activated carbon. An experimental technique for the analysis of the equilibrium concentration of a bisolute in aqueous solutions using a UV spectrophotometer has been successfully developed and employed. Experimental data were obtained by conducting experiments in a shaker-incubator at 30 C (local average ambient temperature). All common types of reported isotherms, including Langmuir. Freundlich, BET (Brunauer, Emmett and Teller) and empirical types, were tried. For single solute systems the experimental data were found to be best represented by the Freundlich isotherm for all cases except for phenol, which followed the Langmuir isotherm. For bisolute systems, the coefficients for all the most commonly used models were determined accurately applying a modified Rosenbrock method for non-linear optimization. The present and previous published experimental data and predicted model results have been analysed statistically to validate the applicability of the models. The generalized and empirical models have shown a better fit than the other most commonly used models (Langmuir and Freundlich). The empirical model has minimal error between predicted and experimental values due to more constants in the expression as compared to the generalized model, The generalized model has a unique characteristic, covering both extremes, Langmuir as well as Freundlich type isotherms, and could represent all types of data for multi-component systems with fewer coefficients with almost the same degree of accuracy as the empirical model. (C) 1997 Elsevier Science Ltd.
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页码:2102 / 2112
页数:11
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