Predicting the capability of carboxymethyl cellulose-stabilized iron nanoparticles for the remediation of arsenite from water using the response surface methodology (RSM) model: Modeling and optimization

Mohammadi, Amir and Nemati, Sepideh and Mosaferi, Mohammad and Abdollahnejhad, Ali and Almasian, Mohammad and Sheikhmohammadi, Amir (2017) Predicting the capability of carboxymethyl cellulose-stabilized iron nanoparticles for the remediation of arsenite from water using the response surface methodology (RSM) model: Modeling and optimization. JOURNAL OF CONTAMINANT HYDROLOGY, 203. pp. 85-92. ISSN 0169-7722

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Abstract

This study aimed to investigate the feasibility of carboxymethyl cellulose-stabilized iron nanoparticles (C-nZVI) for the removal of arsenite ions from aqueous solutions. Iron nanoparticles and carboxymethyl cellulose-stabilized iron nanoparticles were freshly synthesized. The synthesized nanomaterials had a size of 10 nm approximately. The transmission electron microscope (TEM) images depicted bulkier dendrite flocs of non-stabilized iron nanoparticles. It described nanoscale particles as not discrete resulting from the aggregation of particles. The scanning electron microscopy (SEM) image showed that C-nZVI is approximately discrete, well-dispersed and an almost spherical shape. The energy dispersive x-ray spectroscopy (EDAX) and X-ray diffraction (XRD) spectrum confirmed the presence of Fe in the C-nZVI composite. The central composite design under the Response Surface Methodology (RSM) was employed in order to investigate the effect of independent variables on arsenite removal and to determine the optimum condition. The reduced full second-order model indicated a well-fitted model since the experimental values were in good agreement with it. Therefore, this model is used for the prediction and optimization of arsenite removal from water. The maximum removal efficiency was estimated to be 100% when all parameters are considered simultaneously. The predicted optimal conditions for the maximum removal efficiency were achieved with initial arsenite concentration, 0.68 mg L-1; C-nZVI, 0.3 (g L-1); time, 31.25 (min) and pH, 5.2. Keywords Author Keywords:Modeling; Response surface methodology; Carboxymethyl cellulose-stabilized iron nanoparticles; Arsenite; Optimization KeyWords Plus:ZEROVALENT IRON; WASTE-WATER; REMOVAL; COAGULATION; IONS; BIOSORPTION; ADSORPTION; ADSORBENT; AS(III); DESIGN

Item Type: Article
Subjects: Q Science > QE Geology
Divisions: Faculty of Medicine, Health and Life Sciences > School of Medicine
Depositing User: sobhan rezaiian
Date Deposited: 10 Dec 2017 15:06
Last Modified: 10 Dec 2017 15:09
URI: http://eprints.lums.ac.ir/id/eprint/1049

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