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Journal of Environmental
Informatics
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1684-8799 / Print ISSN 1726-2135
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Characteristics and Thermodynamics of Biosorption Copper by a Newly Isolated Penicillium sp. QQ Using a Response Surface Methodology
B. Yan1*, J. T. Zhou2, Y. G. Li1, Q. Shi1, H. Y. Fu1, T. Chai1 and J. F. Liu1
- Department of Environmental Engineering, Xiamen University of Technology, Xiamen 361024, P. R. China
- Key Laboratory of Industrial Ecology and Environmental Engineering (MOE), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, P. R. China
*Corresponding author. Tel: +86-592-6291138 Fax: +86-592-6291138 Email: yanb@xmut.edu.cn
Abstract
The objective of this study was to investigate the potential for Penicillium sp. QQ to perform copper adsorption. The following optimal conditions were assigned for biosorption by a response surface methodology (RSM): a biomass concentration of 4.6% (w/v), pH of 5.6, initial copper concentration of 100 mg/L and an established biosorption equilibrium after a 30 min reaction. A copper removal efficiency of about 98% was achieved after 30 min. The kinetics of copper adsorption are discussed, and the experimental data are fit to a pseudo-second-order kinetic model. The experimental results were analyzed using the Langmuir and Freundlich isotherms. The equilibrium constant b and n value show copper has been favorably adsorbed by the QQ strain. The thermodynamic parameters such as the free energy (∆Go), enthalpy (∆Ho) and entropy (∆So) also prove the adsorption process was thermodynamically feasible and spontaneous. The results indicate Penicillium sp. QQ could be used as a promising candidate for removing heavy metal ions from aqueous environments.
Keywords: response surface methodology (RSM), penicillium sp. QQ, copper, isotherms, thermodynamics, biosorption
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Cite this paper as: B. Yan, J. T. Zhou, Y. G. Li, Q. Shi, H. Y. Fu, T. Chai and J. F. Liu, 2012. Characteristics and Thermodynamics of Biosorption Copper by a Newly Isolated Penicillium sp. QQ Using a Response Surface Methodology. Journal of Environmental Informatics, 19(1), 51-57. http://dx.doi.org/10.3808/jei.201200208
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