Equilibrium, kinetics and artificial intelligence characteristic analysis for Zn (II) ion adsorption on rice husks digested with nitric acid

Ullah, S. and Assiri, M.A. and Bustam, M.A. and Al-Sehemi, A.G. and Abdul Kareem, F.A. and Irfan, A. (2020) Equilibrium, kinetics and artificial intelligence characteristic analysis for Zn (II) ion adsorption on rice husks digested with nitric acid. Paddy and Water Environment, 18 (2). pp. 455-468. ISSN 16112490

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Abstract

The use of low-cost adsorbents produced from rice husks that can selectively remove zinc (II) ion from wastewater effluent has been investigated. The disorder and fatal diseases can be triggered in living organisms by accumulating the heavy metals in the wastewater. Adsorption is an operative cleansing and separation method used in the industry to remove contaminants from effluents. In order to convert the rice husk to the adsorbent, digestion and carbonization processes were performed. Rice husks digested nitric acid at 1.0 M to reduce the organic constituents and further carbonized at 400, 600 and 800 °C to eliminate the non-carbon element in rice husks. The physiochemical characteristics of the digested and carbonized rice husks were analyzed using scanning electron microscope (SEM), X-ray diffraction (XRD) and atomic adsorption spectrophotometer (AAS). The SEM morphological characteristics showed the high pyrolysis effect on the organic matter left the samples with more pores and cavities, which enhanced the surface area and uptake, especially for 800 °C carbonized samples. The samples� physical characteristics using XRD showed that the treatment with HNO3 illustrated a pattern close to the activated carbon with slightly lower intensities. The applied feed-forward back-propagation neural network algorithm showed high validity (R2 � 0.9686) for the tested experimental data sets and hence can be applied for forthcoming studies with nearby conditions. The outcomes showed that the increment of the carbonization temperature is correlated with the contact time and can increase the metal uptake percentage and adsorption capacity. The adsorption followed the Langmuir isotherm, which indicates monolayer coverage. The data showed that adsorption kinetics follow the pseudo-second-order rate expression. © 2020, The International Society of Paddy and Water Environment Engineering.

Item Type: Article
Additional Information: cited By 9
Uncontrolled Keywords: Activated carbon; Activated carbon treatment; Adsorption; Adsorption isotherms; Backpropagation; Biology; Carbonization; Chemicals removal (water treatment); Effluents; Enzyme kinetics; Feedforward neural networks; Heavy metals; Kinetics; Monolayers; Nitric acid; Scanning electron microscopy; X ray diffraction, Carbonization temperatures; Characteristic analysis; Equilibrium isotherms; Feed-forward back-propagation neural networks; Morphological characteristic; Physical characteristics; Pseudo-second order rates; Rice husk, Zinc compounds, activated carbon; adsorption; artificial intelligence; crop residue; isotherm; nitric acid; organic matter; reaction kinetics; zinc
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 10 Nov 2023 03:27
Last Modified: 10 Nov 2023 03:27
URI: https://khub.utp.edu.my/scholars/id/eprint/13292

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