Repository of Research and Investigative Information

Repository of Research and Investigative Information

Ilam University of Medical Sciences

Optimization of arsenite removal by adsorption onto organically modified montmorillonite clay: Experimental & theoretical approaches

(2017) Optimization of arsenite removal by adsorption onto organically modified montmorillonite clay: Experimental & theoretical approaches. Korean Journal of Chemical Engineering. pp. 376-383. ISSN 0256-1115

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Arsenic is a critical contaminant for aqueous environments as it poses harmful health risks. To meet the stringent regulations regarding the presence of arsenic in aqueous solutions, the feasibility of montmorillonite clay modified with hexadecyltrimethyl ammonium chloride as the adsorbent was tested for the removal of arsenic ions from aqueous solutions. A scanning electron microscopy (SEM) study confirmed that the organically modified nanoclay (ONC) adsorbent had a porous structure with a vast adsorbent surface.The x-ray fluorescence (XRF) analysis proved the presence of carbon in the structure of the modified nanoclay that can be evidence for the creation of ONC. The x-ray diffraction (XRD) analysis results confirm the existence of four main groups of minerals, carbonate (Calcite), clay (Askmtyt and Kandyt), silicate (Quartz), and phyllosilicate (Kaolinite), in the ONC structure.The influence of various parameters such as solution pH, adsorbent dosage, initial arsenite concentration, and contact time on arsenic adsorption onto ONC was investigated. A 2(5) full factorial central composite experimental design was applied. A central composite design under response surface methodology (RSM) was employed to investigate the effects of independent variables on arsenite removal and to determine the optimum condition. The experimental values were in a good fit with the ones predicted by the model. The optimal operating points (adsorbent dosage: 3.7 g L-1, surfactant dosage: 3 g L-1 and the contact time: 37.2min) giving maximum arsenite removal (95.95) were found using Solver "Add-ins" in Microsoft Excel 2010.

Item Type: Article
Keywords: Modeling Response Surface Methodology Organic Nanoclay Arsenite Optimization response-surface methodology water-treatment-plant bisphenol-a activated carbon drinking-water aqueous-solutions nano-adsorbents waste-water iron rsm Chemistry Engineering
Page Range: pp. 376-383
Journal or Publication Title: Korean Journal of Chemical Engineering
Journal Index: ISI
Volume: 34
Number: 2
Identification Number:
ISSN: 0256-1115
Depositing User: مهندس مهدی شریفی

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