posted on 2020-03-06, 15:40authored byNaoual El Bardiji, Khadija Ziat, Ahmed Naji, Mohamed Saidi
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.