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

Mohseni Bandpei, Anoushiravan and Mohseni, Seyed Mohsen and Sheikhmohammadi, Amir and Sardar, Mahdieh and Sarkhosh, Maryam and Almasian, Mohammad and Avazpour, Moayad and Mosallanejad, Zahra and Atafar, Zahra and Nazari, Shahram and Rezaei, Soheila (2017) Optimization of arsenite removal by adsorption onto organically modified montmorillonite clay: Experimental & theoretical approaches. Korean J. Chem. Eng.,.

[img]
Preview
Text
bandpei2016.pdf

Download (1MB) | Preview

Abstract

Abstract−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 25 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. Keywords:Modeling, Response Surface Methodology, Organic Nanoclay, Arsenite, Optimization

Item Type: Article
Subjects: R Medicine > R Medicine (General)
Depositing User: sobhan rezaiian
Date Deposited: 30 Apr 2017 06:16
Last Modified: 18 Nov 2017 15:40
URI: http://eprints.lums.ac.ir/id/eprint/477

Actions (login required)

View Item View Item