| 具有辅助性能的红霉素分子印迹聚合物的制备及性能 |
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| 引用本文： | 侯玲梅,孟红福,赵调彬,曾一文,王农. 具有辅助性能的红霉素分子印迹聚合物的制备及性能[J]. 复合材料学报, 2021, 38(6): 1754-1766. DOI: 10.13801/j.cnki.fhclxb.20201223.002 |
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| 作者姓名： | 侯玲梅 孟红福 赵调彬 曾一文 王农 |
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| 作者单位： | 兰州交通大学 化学与生物工程学院,兰州730070;贺州学院 材料与环境工程学院,贺州542899 |
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| 基金项目： | 甘肃省中小企业创新基金(1407GCCA013)；优质高纯纳米碳酸钙的关键技术与产业化应用示范项目(17202030-2) |
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| 摘 要： | 分别制备了磁性Fe3O4@聚丙烯酸(Fe3O4@PAA)红霉素分子印迹聚合物(ERYMIP)和光降解TiO2@PAAERYMIP,以期更好地分离或降解红霉素,从而提高处理残留红霉素的能力.采用SEM、XRD、FTIR、TG和磁滞回线(MHL)等对两种印迹聚合物的形貌、结构和性能进行了表征.实验表明Fe3O4@PAA E...
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| 关 键 词： | 红霉素 分子印迹聚合物 选择性吸附 磁性 光降解 |
| 收稿时间： | 2020-05-28 |
Preparation and properties of erythromycin molecularly imprinted polymer with auxiliary properties |
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| Affiliation: | 1.School of Chemical and Biological Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China2.College of Materials and Chemical Engineering, Hezhou University, Hezhou 542899, China |
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| Abstract: | In order to better isolate or degrade erythromycin, and finally improve the ability to deal with residual erythromycin. Magnetic Fe3O4@polyacrylic acid (Fe3O4@PAA) erythromycin molecularly imprinted polymer (ERYMIP) and photodegradation TiO2@polyacrylic acid erythromycin molecularly imprinted polymer (TiO2@PAA ERYMIP) were prepared, respectively. Scanning electron microscope (SEM), X-ray powder diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), thermogravimetric analysisand (TG) and magnetic hysteresis loop (MHL) were used to characterize the morphology and structure of the imprinted polymers. Experimental results show that Fe3O4@PAA ERYMIP has superparamagnetic properties and TiO2@PAA ERYMIP has photodegradation performance. The maximum adsorption capacity of Fe3O4@PAA ERYMIP and TiO2@PAA ERYMIP are 958.4 mg·g?1 and 1170.2 mg·g?1, respectively. They have good selectivity compared with other antibiotics. Isothermal adsorption studies find that both Fe3O4@PAA ERYMIP and TiO2@PAA ERYMIP are consistent with Langmuir model. The kinetic studies find that the adsorption processes of Fe3O4@PAA ERYMIP and TiO2@PAA ERYMIP conform to the quasi-secondary and quasi-primary models, respectively. |
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