Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/117673
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Type: Journal article
Title: Mixed-mode remediation of cadmium and arsenate ions using graphene-based materials
Author: Lath, S.
Navarro, D.
Tran, D.
Kumar, A.
Losic, D.
McLaughlin, M.J.
Citation: CLEAN: Soil, Air, Water, 2018; 46(9):1800073-1-1800073-8
Publisher: Wiley
Issue Date: 2018
ISSN: 1863-0650
1863-0669
Statement of
Responsibility: 
Supriya Lath, Divina Navarro, Diana Tran, Anu Kumar, Dusan Losic, and Michael J. McLaughlin
Abstract: Cadmium (Cd) and arsenate (As) are notorious environmental contaminants, and co‐contamination usually requires opposing treatment strategies due to their differing physico‐chemical properties. Developing adsorbents that can bind both contrasting contaminants simultaneously is desirable. Two prepared graphene materials, graphene oxide (GO) and iron‐oxide‐modified reduced‐GO (FeG), are evaluated for Cd‐ and As‐sorption, and performance is compared to a mixed‐mode commercial adsorbent. Negatively charged GO shows affinity toward cationic Cd, and positively charged FeG shows affinity toward anionic As. Sorption is pH dependent: Increase in pH‐promotes Cd‐sorption and retards As‐sorption. GO displays excellent Cd‐sorption even in acidic conditions. The maximum amounts adsorbed by GO and FeG are 782 μmol Cd g⁻¹ and 408 μmol As g⁻¹, respectively. Competition by calcium strongly suppresses Cd‐sorption, whereas competition by phosphate does not hinder As‐sorption. A mixture of GO and FeG demonstrates successful simultaneous sorption of Cd and As from co‐contaminated solutions, including a natural water sample, displaying greater sorption than the commercial adsorbent. Data highlight the potential application of graphene materials in effective mixed‐mode remediation of multiple contaminants (cations and anions).
Keywords: Arsenic; cadmium; graphene; mixed-mode remediation; sorption
Rights: © 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
DOI: 10.1002/clen.201800073
Grant ID: http://purl.org/au-research/grants/arc/DP150101760
Published version: http://dx.doi.org/10.1002/clen.201800073
Appears in Collections:ARC Research Hub for Graphene Enabled Industry Transformation publications
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