In this paper, the fractal-like multiexponential (f-mexp) equation was modified by introducing the fractional fractal exponent to each stage of the adsorption process. The new equation was used for the analysis of kinetic adsorption of copper onto treated attapulgite. The modeling results show that the modified f-mexp equation fits properly the kinetic data in comparison with the classical and fractal-like kinetic models tested. The effect of varying the initial concentration of the adsorbate on the kinetic parameters was analyzed. Artificial neural networks were applied for the prediction of adsorption efficiency. Outcomes indicate that the multilayer perceptron neural network can predict the removal of copper from aqueous solutions more accurately under different experimental conditions than the single-layer feedforward neural network. Single-site and multisite occupancy adsorption models were used for the analysis of experimental adsorption equilibrium data of copper onto treated attapulgite. The modeling results show that there is no multisite occupancy effect and that the equilibrium data fit well the Langmuir−Freundlich isotherm.
In this paper, Moroccan treated attapulgite (MTATP) was used as a mineral adsorbent for removal of copper ions from aqueous solution. Fourier transform infrared spectroscopy (FTIR) was used to study the functional groups of attapulgite. Kinetic analysis of the experimental results was carried out by using the pseudo-first-order, pseudo-secondorder and the intraparticle diffusion models. The modeling results showed that the pseudo-second-order model is able to describe the adsorption behavior of copper onto attapulgite more accurately. Thermodynamic parameters such as Gibbs free energy (∆G°), the enthalpy (∆H°) and the entropy change (∆S°) of sorption were calculated. Outcomes reveals that the sorption process is spontaneous and exothermic.
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