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Preparation and characterization of molecularly-imprinted magnetic microspheres for adsorption of 2,4,6-trichlorophenol from aqueous solutions
- 作者:Ping Yu (1) (2)
Qilong Sun (3) Jianfeng Li (4) Zhenjiang Tan (2) Jianming Pan (1) Yongsheng Yan (1)
1. School of Chemistry and Chemical Engineering ; Jiangsu University ; Zhenjiang ; 212013 ; China 2. School of Computer Science ; Jilin Normal University ; 1301 Haifeng Street ; 136000 ; Siping ; China 3. School of Management ; Jilin Normal University ; 1301 Haifeng Street ; 136000 ; Siping ; China 4. School of Foreign language ; Jilin Normal University ; 1301 Haifeng Street ; 136000 ; Siping ; China
- 关键词:Suspension Polymerization ; Molecularly Imprinted Microspheres ; Magnetic ; 2 ; 4 ; 6 ; Trichlorophenol ; Selective Recognition
- 刊名:Korean Journal of Chemical Engineering
- 出版年:2015
- 出版时间:April 2015
- 年:2015
- 卷:32
- 期:4
- 页码:767-776
- 全文大小:1,249 KB
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- 刊物类别:Chemistry and Materials Science
- 刊物主题:Chemistry
Industrial Chemistry and Chemical Engineering Catalysis Materials Science Biotechnology
- 出版者:Springer New York
- ISSN:1975-7220
文摘
Magnetic molecularly imprinted microspheres (MMIS) were successfully prepared by suspension polymerization, and then as-prepared MMIS were used as adsorbents for selective recognition of 2,4,6-trichlorophenol (2,4,6-TCP) from aqueous solutions. The results composites were characterized by Fourier transform infrared (FT-IR), X-ray diffraction (XRD), thermo gravimetric analysis (TGA), scanning electron microscope (SEM) and vibrating sample magnetometer (VSM). The results demonstrated that MMIS possesses porous spherical morphology, and exhibits good thermal stability and magnetic property (Ms=10.14 emu g-1). Then batch mode of binding experiments was used to determine the equilibrium, kinetics and selectivity recognition. The Langmuir isotherm model fitted the equilibrium data better than did the Freundlich model, and the maximum adsorption capacity on MMIS was about 1.7 times higher than that of MNIS. Kinetics behaviors of MMIS were well described by the pseudo-second-order model. MMIS possessed outstanding selectivity recognition for 2,4,6-TCP in the presence of other competitive phenols (such as sesamol, 3-CP, thymol, 2,4-DCP). Furthermore, the reusability performance of MMIS showed about 17.53% loss after five repeated cycles. Finally, the MMIS were successfully applied to the selective extraction of 2,4,6-TCP from the vegetable samples.
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