Sulfonated multi-walled carbon nanotubes for the removal of copper (II) from aqueous solutions |
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Affiliation: | 1. School of Chemistry & Chemical Engineering, Guangxi University, Nanning 530004, China;2. Guangxi Key Laboratory of Petrochemical Resource Processing and Process Intensification Technology, Guangxi University, Nanning 530004, China;1. Institut für Theoretische Physik, Universität Leipzig, Postfach 100 920, D-04009 Leipzig, Germany;2. Department of Mathematics and the Maxwell Institute for Mathematical Sciences, Heriot-Watt University, Riccarton, Edinburgh, EH14 4AS, Scotland, United Kingdom;1. State Key Laboratory of Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, PR China;2. Department of Mechanical Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA;1. Department of Chemistry, SSN College of Engineering, Kalavakkam, Chennai 603110, India;2. SRM Research Institute, SRM University, Kattankulathur, Kancheepuram District, 603203, India;3. Department of Chemistry, B. S. Abdur Rahman University, Chennai, 600048, India;1. Centre for Environmental Science and Engineering, Indian Institute of Technology Kanpur, Kanpur, UP 208 016, India;2. Department of Chemical Engineering, Indian Institute of Technology Kanpur, Kanpur, UP 208 016, India |
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Abstract: | Sulfonated multi-walled carbon nanotubes (s-MWCNTs) was prepared from purified multi-walled carbon nanotubes (p-MWCNTs) by concentrated H2SO4 at elevated temperature. The structure was characterized by SEM, FTIR, Raman, XPS, and BET. It could be dispersed steadily in water at a dosage of 1.0 mg/mL for a week. The adsorption performance of s-MWCNTs toward Cu(II) was investigated including the effects of pH and ionic strength. Results indicated the adsorption was much dependent on pH but not on ionic strength. The adsorption capacity for Cu(II) was enhanced 58.9% via the sulfonation. Moreover, the adsorption mechanisms were carefully analyzed by Freundlich and D-R models. |
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Keywords: | Heavy metal ion Adsorption Carbon nanotube Sulfonation Wastewater |
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