Abstract
In this research, modification for the natural bentonite clay was achieved using thermal activation and iron modification. The ability of different adsorbents (natural bentonite, thermal-activated bentonite and iron-modified bentonite) in removing tetracycline from contaminated water was examined utilizing artificial neural network consisting of three layers and 315 batch experiments. The analysis of sensitivity proved that iron-modified bentonite had more influence in the present sorption process with relative importance of 28.67%. To study equilibrium isotherm and adsorption kinetic, two models were used which were pseudo-first-order and pseudo-second-order kinetic equations, and Freundlich and Langmuir models. The best input for Langmuir model was iron-modified bentonite as well as the equilibrium data of natural bentonite, while thermal-modified bentonite was indicated using the Freundlich model. For the three adsorbents, the adsorption kinetic associated with the pseudo-second-order equation was used.











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The author gratefully acknowledged the technical assistance by Laith A. Naji, Technical Instructors Training Institute, Middle Technical University; Baghdad, Iraq (add.ali.lith@gmail.com).
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Alkizwini, R.S., Alquzweeni, S.S. Modeling natural bentonite, thermal-modified bentonite and iron-modified bentonite with artificial neural network, sorption kinetics and sorption isotherms for simulated sorption tetracycline. Int. J. Environ. Sci. Technol. 18, 2633–2650 (2021). https://doi.org/10.1007/s13762-020-03004-4
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DOI: https://doi.org/10.1007/s13762-020-03004-4


