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Received June 14, 2013
Accepted June 19, 2014
- This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Cadmium removal from aqueous solutions by pumice and nano-pumice
Department of Mining and Metallurgical Engineering, Amirkabir University of Technology, 424 Hafez Ave, Tehran, Iran 1School of Mining, College of Engineering, University of Tehran, Iran 2MSc of Mining Engineering, Shahrood University of Technology, Shahrood, Iran
Shaddadi@aut.ac.ir
Korean Journal of Chemical Engineering, January 2015, 32(1), 88-96(9), 10.1007/s11814-014-0168-2
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Abstract
Use of low-cost minerals to eliminate mining and industrial pollutants is the main goal of this study. We investigated the ability of pumice and nano-pumice to remove cadmium from a synthetic aqueous solution. Batch experiments were performed to investigate adsorption characteristic; therefore, the effective factors influencing the adsorption process including solution pH, contact time and initial concentration have been considered. Equilibrium data were attempted by Langmuir and Freundlich isotherm models to realize the interaction between adsorbent and_x000D_
adsorbate. The results show that cadmium adsorption on Pumice follows the Langmuir isotherm model with a R2 of 0.9996 and shows a homogeneous and mono-layer adsorption. Whereas, cadmium adsorption on nano-Pumice follows a Freundlich model (R2=0.9939) and exhibits a multi-layer adsorption. The maximum mono-layer capacity (qmax) of cadmium for pumice and nano-pumice was calculated 26 and 200mg/g, respectively. Two different kinetics models_x000D_
including pseudo first-order and pseudo second-order were studied to evaluate the rate and mechanism of cadmium adsorption by pumice and nano-pumice. The kinetics data indicate that a pseudo second-order model provides the best correlation of the experimental data.
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Sdiri A, Higashi T, Hatta T, Jamoussi F, Tase N, Chem. Eng. J., 172(1), 37 (2011)
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Alemayehu E, Lennartz B, Appl. Geochem., 25(10), 1596 (2010)
Lin YF, Chen HW, Chien PS, Chiou CS, Liu CC, J. Hazard. Mater., 185(2-3), 1124 (2011)
Huang SH, Chen DH, J. Hazard. Mater., 163(1), 174 (2009)
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Khalid TAR, Nada KA, Zainb JS, Int. J. Electrochem. Sci., 8, 5594 (2013)
Doulia D, Leodopoulos C, Gimouhopoulos K, Rigas F, J. Colloid Interface Sci., 340(2), 131 (2009)
Jain CK, Hydrological Sci. J., 46, 419 (2001)
Silva JP, Sousa S, Rodrigues J, Antunes H, Porter JJ, Goncalves I, Ferreira-Dias S, Sep. Purif. Technol., 40(3), 309 (2004)
Liu ZR, Zhou SQ, Process Saf. Environ. Protect., 88(1), 62 (2010)
Zaghouane-Boudiaf H, Boutahala M, Int. J. Miner. Process., 100(3-4), 72 (2011)
Tekin N, Ates Y, Int. J. Miner. Process., 112-113, 49 (2012)
Mostafa MG, Chen YH, Jean JS, Liu CC, Lee YC, J. Hazard. Mater., 187(1-3), 89 (2011)
Ardejani FD, Badii K, Limaee NY, Shafaei SZ, Mirhabibi AR, J. Hazard. Mater., 151(2-3), 730 (2008)
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