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Spectral Characterizations of CSC-P(AM-AA) with Function of Trapping Heavy Metals and Its Removal Efficiency of Cu2+ |
XIAO Xue-feng1, SUN Yong-jun1, 2*, SHEN Hao1, SUN Wen-qaun1, ZHENG Huai-li3, XU Yan-hua2, ZHU Cheng-yu1 |
1. College of Urban Construction, Nanjing Tech University, Nanjing 211800, China
2. Jiangsu Key Laboratory of Industrial Water-Conservation & Emission Reduction, College of Environmental Science and Engineering, Nanjing Tech University, Nanjing 211800, China
3. Chongqing Engineering Research Center of Water Treatment Coagulant, Chongqing University, Chongqing 400045, China |
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Abstract In this paper, the graft terpolymer, which is called Chitosan-based heavy metal capture flocculant CSC-P(AM-AA), of carboxymethyl chitosan (CSC) and acrylamide (AM) and acrylic acid (AA) were successfully prepared by photopolymerization. In order to demonstrate the successful preparation and characterization of the graft copolymer, the IR spectra, XRD, TG-DSC, and scanning electron microscopy (SEM) were used to characterize the product polymer. The results showed that the graft copolymer of CSC-P (AM-AA) was successfully prepared, and the graft copolymer had good soluble ability. In addition, P (AM-AA) had a structural characteristics that were significantly different from those of P(AM-AA), due to the graft polymerization of carboxymethyl chitosan. The flocculation results showed that CSC-P(AM-AA) had good heavy metal removal performance. At pH 8, dosage of 8 mg·L-1, and rotation speed of 150 r·min-1, the optimal removal rate of Cu2+ by CSC-P(AM-AA) was 87.0%.
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Received: 2017-07-11
Accepted: 2017-12-02
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Corresponding Authors:
SUN Yong-jun
E-mail: sunyongjun@njtech.edu.cn
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[1] Saleh A S, Ibrahim A G, Abdelhai F, et al. Radiation Physics and Chemistry, 2017, 134: 33.
[2] Lalita, Singh A P, Sharma R K. International Journal of Biological Macromolecules, 2017, 99: 409.
[3] Liu L, Wu J, Li X, et al. Separation and Purification Technology, 2013, 103: 92.
[4] Negm N A, Sheikh R E, El-Farargy A F, et al. Journal of Industrial and Engineering Chemistry, 2015, 21: 526.
[5] Wang J, Chen Y, Wang Y, et al. RSC Advance, 2012, 2: 494.
[6] Sun Y, Ren M, Zhu C, et al. Industrial & Engineering Chemistry Research, 2016, 55:10025.
[7] Pretsch E, Buhlmann P, Affolter C. Structure Detemination of Organic Compouds Tables of Spectral Data(波谱数据表—有机化合物的结构解析). Translated by RONG Guo-bin(荣国斌,译). Shanghai:East China University of Science and Technology Press(上海:华东理工大学出版社), 2002. 245.
[8] Zheng H, Sun Y, Zhu C, et al. Chemical Engineering Journal, 2013, 234: 318.
[9] Zheng H, Sun Y, Guo J, et al. Industrial & Engineering Chemistry Research, 2014, 53: 2572.
[10] Liu L, Li Y, Liu X, et al. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2014, 118: 765.
[11] KOU Xi-yuan, ZHANG Yu-shan, WANG Jing, et al(寇希元,张雨山,王 静,等). Marine Environmental Science(海洋环境科学), 2011, 30(4): 496.
[12] ZHU Shou-jin, LIU Fa-qian, WANG Jing-zhao, et al(朱寿进,刘法谦,王璟朝,等). Chemical Journal of Chinese University(高等学校化学学报), 2014, 4: 863.
[13] Tan Y, Matthias Leonhard, Doris Moser, et al. Colloids and Surfaces B: Biointerfaces, 2016, 148, 193.
[14] Liu L, Wu J, Li X, et al. Separation and Purification Technology, 2013, 103: 92.
[15] Wang G, Chang Q, Han X, et al. Journal of Hazardous Materials, 2013, 248-249: 115. |
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