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Vol. 25 No. 8 (2013): Vol 25 Issue 8

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Modeling of Nitrate Removal by Nanosized Iron Oxide Immobilized on Perlite Using Artificial Neural Network

https://doi.org/10.14233/ajchem.2013.13974
A. Khani
Department of Chemistry, Miyaneh Branch, Islamic Azad University, Miyaneh, Iran
A. Nemati
Department of Electrical and Electronic Engineering, Miyaneh Branch, Islamic Azad University, Miyaneh, Iran

Corresponding Author(s) : A. Khani

a.khani59@yahoo.com

Asian Journal of Chemistry, Vol. 25 No. 8 (2013): Vol 25 Issue 8

Abstract

The removal of nitrate from aqueous solution by adsorption process onto nanosized iron oxide immobilized on perlite (nIO-P) is novel, effective and easy way. In this work, the effective parameters on removal of nitrate by adsorption process, which included the amount of nIO-P(m), initial concentration of nitrate (C0), contact time, pH and temperature (T), were investigated. It was found that the content of adsorption followed decreasing order: m = 8 > 4 > 2 > 1 g, C0 = 20 > 25 > 15 > 10 mg L-1, pH = 5 > 7 > 8 > 9 and T = 45 > 35 > 25 > 15 ºC. The three-layered feed forward back propagation neural network was used for modeling of nitrate adsorption on nIO-P. The comparison between the predicted results of the designed artificial neural network (ANN) model and the experimental data proved that modeling of nitrate adsorption process using artificial neuron network was a good and precise method to predict the extent of adsorption of nitrate on adsorbent under different conditions.

Keywords

Modeling Artificial neural network Nanosized iron oxide Water treatment Nitrate
Khani, A., & Nemati, A. (2013). Modeling of Nitrate Removal by Nanosized Iron Oxide Immobilized on Perlite Using Artificial Neural Network. Asian Journal of Chemistry, 25(8), 4340–4346. https://doi.org/10.14233/ajchem.2013.13974
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