| 光谱学与光谱分析 |
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| Characterization and Heavy Metal Adsorption Properties of Schwertmannite Synthesized by Bacterial Oxidation of Ferrous Sulfate Solutions |
| ZHOU Shun-gui, ZHOU Li-xiang*,CHEN Fu-xing |
| College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, China |
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Abstract An amorphous ferric hydroxysulfate named schwertmannite was synthesized by using bacterial oxidation of ferrous iron by resting A. ferrooxidans cells in acid ferrous sulfate solution (pH 2.5). The identification of the bacterially oxidized iron precipitate was carried out by SEM, XRD, FTIR and chemical analysis. Results showed that resting cells of A. ferrooxidans LX5 could completely oxidize ferrous ions to ferric ions in the FeSO4-H2O system after 2 days of incubation. The solution pH decreased from an initial 2.5 to 2.10, and about 15% of the ferrous iron was transformed into the red-brown precipitates. The subsequent characterization of the precipitates showed that the biotic, synthetic ferric hydroxysulfate was schwertmannite. Sorption edge measurement showed that the adsorption behavior of metal cations (e.g., Cu2+,Zn2+ and Cr3+) was pH-dependent. The adsorption increased with an increase in pH, and the maximum was found in a pH range of 6.0-7.0. For solution concentration of 50 mg·L-1,the maximum adsorption efficiencies of Cu2+,Zn2+ and Cr3+ were 99.3%, 99.4% and 87.6%, respectively.
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Received: 2005-12-16
Accepted: 2006-03-26
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Corresponding Authors:
ZHOU Li-xiang
E-mail: lxzhou@njau.edu.cn
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| Cite this article: |
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ZHOU Shun-gui,ZHOU Li-xiang,CHEN Fu-xing. Characterization and Heavy Metal Adsorption Properties of Schwertmannite Synthesized by Bacterial Oxidation of Ferrous Sulfate Solutions[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(02): 367-370.
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| URL: |
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https://www.gpxygpfx.com/EN/Y2007/V27/I02/367 |
[1] Bigham J M, Carlson L, Murad E. Mineral. Mag., 1994, 58: 641.
[2] Childs C W, Inoue K, Mizota C. Chem. Geology, 1998, 144: 81.
[3] Carson C D, Dixon J B. Soil Sci. Soc. Amer. J., 1983, 47: 82.
[4] Schwertmann U, Bigham J M, Murad E. European J. Mineral., 1995, 7: 547.
[5] Jnsson J, Persson P, Sjberg S, et al. Appl. Geochem., 2005, 20: 1226.
[6] Bigham J M, Schwertmann U, Carlson L, et al. Geochim. Cosmochim. Acta, 1990, 54: 2743.
[7] Swedlund P J, Webster J G. Appl. Geochem., 2001, 16: 503.
[8] Oishi T, Takagi R, Yamada K, et al. WO 2004108603. 2004, 12.
[9] ZHOU Shun-gui, ZHOU Li-xiang, Wong J W C(周顺桂, 周立祥, 黄焕忠). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2004, 24(9): 1140.
[10] Lazaroff N, Sigal W, Wasserman A. Appl. Environ. Microbiol., 1982, 43: 924.
[11] Webster J G, Swedlund P J, Webster K S. Environ. Sci. Technol., 1998, 32: 1361.
[12] Barham R J. J. Mater. Res., 1997, 12(10): 2751. |
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