|
|
|
|
|
|
Preparation and Spectroscopy Characterization of Magnetic Pb(Ⅱ)-Ion Surface Imprinted Polymers(Fe3O4/GO-IIP) |
HU Wen-hua, DONG Jun, CHI Zi-fang*, REN Li-ming |
Key Lab of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130021, China |
|
|
Abstract Adsorption is widely used in heavy metals wastewater treatments because of its economy and efficiency. Developing recyclable specific Pb(Ⅱ) adsorption materials is important for lead wastewater treatment and lead recycling. Fe3O4/GO-IIP, with properties of adsorb ability (GO) and magnetism (Fe3O4), was successfully synthesized combined with surface imprinting technology by using magnetic Fe3O4/GO as supporter, lead nitrate as a template, methylacrylic acid as functional monomer, and ethylene glycol dimethacrylate as the cross-linker. The reusability and specific adsorption for Pb(Ⅱ) of Fe3O4/GO-IIP were discussed. X-ray diffraction(XRD), scanning electron microscope(SEM) and Fourier transform infrared spectroscopy(FTIR) were used to determine the characteristics of Fe3O4/GO-IIP and analyze the removal mechanism for Pb(Ⅱ). Fe3O4/GO-IIP was used as sorbents to selectively remove Pb(Ⅱ) from aqueous solutions. Results indicated that Fe3O4/GO-IIP had a high affinity to Pb(Ⅱ), the removal rate of Pb(Ⅱ) reached 70% within 5 minutes and the reaction achieved adsorption equilibrium within 20 minutes. Pseudo second order kinetics and Langmuir isotherm adsorption model could preferably express the adsorption process. Transmission electron microscopy(TEM) and SEM images demonstrated that Fe3O4 was uniformly loaded on the surface of GO, and the size rang was from 10 to 20 nm. The imprinted cavity existing on the surface of Fe3O4/GO-IIP enhanced the selective adsorption of Pb(Ⅱ). The selectivity coefficient of Fe3O4/GO-IIP was 2~5 times higher than that of Fe3O4/GO-NIP in the presence of competitive ions [Cd(Ⅱ), Zn(Ⅱ), Cu(Ⅱ) and et al]. XRD and FTIR spectra confirmed the synthesis of Fe3O4/GO-IIP.Fe3O4/GO-IIP and exhibited favorable characteristics of re-utilizing.
|
Received: 2016-11-29
Accepted: 2017-04-18
|
|
Corresponding Authors:
CHI Zi-fang
E-mail: chizifang@jlu.edu.cn
|
|
[1] ZHU Jian, WANG Ping, LEI Ming-jing, et al(朱 健, 王 平, 雷明婧, 等). Journal of Central South Forestry University(中南林业科技大学学报), 2012, 32(12): 61.
[2] LI Lu-juan, LIU Hui-jun, ZHANG Lei(李路娟, 刘慧君, 张 磊). Chemistry(化学通报), 2011, 74(6): 539.
[3] Chella S, Kollu P, Komarala E V P R, et al. Applied Surface Science, 2015, 327: 27.
[4] Chen A, Shang C, Shao J, et al. Carbohydrate Polymers, 2017, 155: 19.
[5] Zhu X, Wu W, Liu Z, et al. Electrochimica Acta, 2013, 95(11): 24.
[6] Jiang G, Chang Q, Yang F, et al. Chinese Journal of Chemical Engineering, 2015, 23(3): 510.
[7] Zhu L, Zhu Z, Zhang R, et al. Journal of Environmental Sciences, 2011, 23(12): 1955.
[8] Yu P, Sun Q, Li J, et al. Journal of Environmental Chemical Engineering, 2015, 3(2): 797.
[9] Zhang M, Zhang Z, Liu Y, et al. Chemical Engineering Journal, 2011, 178: 443.
[10] Wang N, Zhu L, Wang D, et al. Ultrasonics Sonochemistry, 2010, 17(3): 526.
[11] ZHANG Hui-xin, DOU Qian, JIN Xiu-hong, et al(张惠欣, 窦 倩, 金秀红, 等). Chemical Research and Application(化学研究与应用), 2014, 26(2): 194.
[12] PAN Sha-sha, HUANG Fu-rong, XIAO Chi, et al. Spectroscopy and Spectral Analysis, 2015, 35(10): 2761.
[13] Qi X, Gao S, Ding G, et al. Talanta, 2017, 162: 345. |
[1] |
ZHU Ya-ming1, 2, ZHAO Xue-fei1, 2*, GAO Li-juan1, CHENG Jun-xia1. Quantitative Analysis of Structure Changes on Refined Coal Tar Pitch with Curve-Fitted of FTIR Spectrum in Thermal Conversion Process[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(07): 2076-2080. |
[2] |
HU Hua-ling1, 2, 3, LI Meng2, 3*, HE Xiao-song2, 3, XI Bei-dou2, 3, ZHANG Hui2, 3, LI Dan2, 3, HUANG Cai-hong2, 3, TAN Wen-bing2, 3. FTIR Spectral Characteristics of Rice Plant Growing in Mercury Contaminated Soil[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(07): 2081-2085. |
[3] |
MA Dian-xu1, LIU Gang1*, OU Quan-hong1, YU Hai-chao1, LI Hui-mei1, SHI You-ming2. Discrimination of Common Wild Mushrooms by FTIR and Two-Dimensional Correlation Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(07): 2113-2122. |
[4] |
FU Wei1,2, PENG Zhao2, ZENG Xiang-wei3, QIN Jian-xun4, LI Xue-biao5, LAI Sheng2, LI Xiao-ting2, ZHANG Yin-meng2. Quantitative Analysis of Mineral Composition in Granite Regolith Based on XRD-Rietveld Full-Spectrum Fitting Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(07): 2290-2295. |
[5] |
ZHANG Hao1, 2, 5, WANG Lin3, LONG Hong-ming2, 4, 5. Study on Composite Activating Mechanism of Alkali Steel Slag Cementations Materials by XRD and FTIR[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(07): 2302-2306. |
[6] |
DENG Yu-qing, CHEN Tao*. Influence Factors of Transparency on Shuikeng Stone from Shoushan[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(05): 1400-1405. |
[7] |
YE Ting1, QIAO Hai-xia1, HUANG Yong1,2*, GUO Jia-chi1, MA Meng-chu1, RU Ping1, CHEN Fang-fang1, YUAN Cui-fang1, LIU Huan1, SU Zhuo-bin3, ZHANG Xue-jiao1*, GAO Yuan4. Preparation and Characterization of Silicon, Silver, Fluorine Co-Modified Hydroxyapatite Nano-Biofilms[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(04): 1198-1202. |
[8] |
CHEN Hang1, MEI Chang-tong1, LUO Wen2, XU Mo-su3, REN Yi4, YIN Wen-xuan4*. Comparative Study on Microstructure of Flocculant/Catkin with Natural Fiber[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(03): 929-932. |
[9] |
ZHANG Fang1, 2, 3, ZHANG Wei-jie1, 3, DING Yan-yan1, 3, ZHAO Zhong-guo1, 3, GE Hao1, 3. XRD Diffraction Characteristics and Microscopic Morphology of Carbonates in Saline-Alkaline Soil from the Shore of the Aibi Lake[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(12): 3893-3899. |
[10] |
ZHANG Li-juan1, 2, WANG Shu-tao1*, YANG Zhe1, CHENG Peng-fei1. The Determination and Characterization of Main Components in Patchouli Based on the XRF, PXRD and FTIR[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(12): 3889-3892. |
[11] |
ZHANG Fang-kun, LIU Tao*, GUAN Run-duo. In-situ ATR-FTIR Measurement of Solution Concentration Based on Temperature-Related Spectra Difference Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(10): 3011-3015. |
[12] |
YE Shu-bin1,2, SHEN Xian-chun1,2, XU Liang1*, JIN Ling1, HU Rong1,2, HU Yang1,2, LI Ya-kai1,2, LIU Jian-guo1, LIU Wen-qing1. A Fast Qualitative Analysis Method of Fourier Transform Infrared Spectra Based on LASSO Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(10): 3037-3041. |
[13] |
LIANG Xiao-wen1, SHI Lei2*. Design of a Moving Mirror Scanning System for Portable Interferometer[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(10): 3255-3259. |
[14] |
YE Song1,ZHANG Bing-ke1, 2,YANG Hui-hua1,ZHANG Wen-tao1,DONG Da-ming2*. Identification of Beef Spoilage Processes Using the Infrared Spectrum of Volatiles[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(09): 2751-2755. |
[15] |
GE Tao1, ZHANG Ming-xu1, MA Xiang-mei2. XPS and FTIR Spectroscopy Characterization about the Structure of Coking Coal in Xinyang[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(08): 2406-2411. |
|
|
|
|