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Frontiers of Environmental Science & Engineering

ISSN 2095-2201

ISSN 2095-221X(Online)

CN 10-1013/X

Postal Subscription Code 80-973

2018 Impact Factor: 3.883

Front. Environ. Sci. Eng.    2019, Vol. 13 Issue (6) : 94    https://doi.org/10.1007/s11783-019-1178-4
RESEARCH ARTICLE
Effective enrichment of Zn from smelting wastewater via an integrated Fe coagulation and hematite precipitation method
Zhan Qu1, Ting Su1, Yu Chen2, Xue Lin1, Yang Yu3, Suiyi Zhu1(), Xinfeng Xie4, Mingxin Huo1
1. Science and Technology Innovation Centre for Municipal Wastewater Treatment and Water Quality Protection, Northeast Normal University, Changchun 130117, China
2. Jilin Institute of Forestry Survey and Design, Changchun 130022, China
3. Guangdong Shouhui Lantian Engineering and Technology Co. Ltd., Guangzhou 510075, China
4. Michigan Technological University, School of Forest Resources and Environmental Science, Houghton, MI 49932, USA
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Abstract

98.5% Zn was enriched from Zn-bearing smelting wastewater.

99.5% Fe was hydrothermally precipitated into hematite nanoparticles.

Highly purified hematite nanoparticles were obtained.

The residual Zn was 2169 mg/L, 290 times of that in smelting wastewater.

Coagulation is commonly applied to treat Zn-bearing wastewater from smelting industries (smelting wastewater), and thus the Zn-bearing sludge was considerably produced, which should be solidified before safety disposal. Herein, we demonstrated a novel approach to recycle Zn effectively from smelting wastewater via an integrated Fe coagulation and hematite precipitation method. First, smelting wastewater was coagulated by adding ferric chloride to generate Fe/Zn-bearing sludge (sludge for short). Secondly, the sludge was dissolved to generate an acid solution containing 2.2 g/L of Zn and 39.2 g/L of Fe. Thirdly, the Fe/Zn-bearing solution was hydrothermally treated, and 89% of Fe was eliminated to highly purified hematite block, whereas the percentage of Zn lost was below 1.1%. Finally, the hematite precipitates were collected, and the supernatant was hydrothermally treated again with the addition of glucose. When the molar ratio of glucose to Fe in the supernatant was 1.5, over 99.5% of Fe was precipitated in hematite nanoparticles with a diameter of 10–100 nm, and the residual Fe was 21.5 mg/L. The loss of Zn was below 0.4%, and the residual Zn in the solution was 2169 mg/L, 290 times of that in the smelting wastewater. The major mechanism for Fe removal was the hydrolysis of ferric nitrate into hematite, which was promoted by nitrate consumption in glucose oxidation. This paper is the first report of an environment-friendly method for enriching Zn without generating any waste.

Keywords Smelting wastewater      Hydrothermal      Hematite precipitation      Heavy metals     
Corresponding Authors: Suiyi Zhu   
Issue Date: 05 December 2019
 Cite this article:   
Zhan Qu,Ting Su,Yu Chen, et al. Effective enrichment of Zn from smelting wastewater via an integrated Fe coagulation and hematite precipitation method[J]. Front. Environ. Sci. Eng., 2019, 13(6): 94.
 URL:  
http://academic.hep.com.cn/fese/EN/10.1007/s11783-019-1178-4
http://academic.hep.com.cn/fese/EN/Y2019/V13/I6/94
Fig.1  Concentration of Zn in smelting wastewater with the addition of FeCl3•6H2O.
Fig.2  Time course of (a) Fe, Zn and nitrate removal, and (b) pH changes in the hydrothermal process.
Fig.3  SEM images of the deposits produced after hydrothermal treatment for (a) 2, (b) 4 and (c) 6 h.
Fig.4  XRD patterns of the deposit produced after hydrothermal treatment for 2, 4 and 6 h.
Fig.5  Removal rate of (a) Fe, Zn and nitrate, and the changes of (b) TOC and (c) pH with the molar ratio varying from 0 to 5.
Fig.6  SEM images of the Fe-bearing particles generated by adding glucose at a molar ratio of (a) 0.5, (b) 1.5, (c) 2.5, (d) 4 and (e) 5.
Fig.7  XRD patterns of the Fe-bearing particles generated by adding glucose at a molar ratio of (a) 0.5, (b) 1.5, (c) 2.5, (d) 4 and (e) 5.
Fig.8  (a) Removal rate of Fe, Zn and nitrate and variation of (b) TOC and (c) pH in the hydrothermal process.
Fig.9  SEM images of the particles generated at (a) 2, (b) 4 and (c) 6 h.
Fig.10  XRD patterns of the particles generated at 2, 4 and 6 h.
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