ARSENIC REMOVAL FROM WATER BY ADSORPTION ON IRON-CONTAMINATED CRYPTOCRYSTALLINE GRAPHITE

Qiang Yang (), Lang Yang (), Shaoxian Song and Ling Xia
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Qiang Yang: School of Resources and Environmental Engineering, Wuhan University of Technology, 122 Luoshi Road, Wuhan, Hubei 430070, P. R. China
Lang Yang: School of Resources and Environmental Engineering, Wuhan University of Technology, 122 Luoshi Road, Wuhan, Hubei 430070, P. R. China
Shaoxian Song: School of Resources and Environmental Engineering, Wuhan University of Technology, 122 Luoshi Road, Wuhan, Hubei 430070, P. R. China†Hubei Provincial Collaborative Innovation Center for High, Efficient Utilization of Vanadium Resources, Wuhan University of Technology, 122 Luoshi Road, Wuhan, Hubei 430070, P. R. China‡Hubei Key Laboratory of Mineral Resources Processing and Environment, Wuhan University of Technology, 122 Luoshi Road, Wuhan, Hubei 430070, P. R. China
Ling Xia: School of Resources and Environmental Engineering, Wuhan University of Technology, 122 Luoshi Road, Wuhan, Hubei 430070, P. R. China†Hubei Provincial Collaborative Innovation Center for High, Efficient Utilization of Vanadium Resources, Wuhan University of Technology, 122 Luoshi Road, Wuhan, Hubei 430070, P. R. China

Surface Review and Letters (SRL), 2017, vol. 24, issue 07, 1-8

Abstract: This work aimed to study the feasibility of using iron-contaminated graphite as an adsorbent for As(V) removal from water. The adsorbent was prepared by grinding graphite concentrate with steel ball. The study was performed through the measurements of adsorption capacity, BET surface area and XPS analysis. The experimental results showed that the iron-contaminated graphite exhibited significantly high adsorption capacity of As(V). The higher the iron contaminated on the graphite surface, the higher the adsorption capacity of As(V) on the material obtained. It was suggested that the ion-contaminated graphite was a good adsorbent for As(V) removal.

Keywords: Grinding; iron-contaminated graphite; arsenic removal (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1142/S0218625X17500998

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