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Synthesis of BSA/Fe3O4 magnetic composite microspheres for adsorption of antibiotics
來(lái)源:張寶亮教授個(gè)人網(wǎng)站 發(fā)布日期:2018-07-02
作者:Baoliang Zhang, Hepeng Zhang, Xiangjie Li, Xingfeng Lei, Chunmei Li, Dezhong Yin, Xinlong Fan, Qiuyu
關(guān)鍵字:Magnetic composite microspheres,Protein,BSA,Adsorption,Waste-water treatment,Antibiotic
論文來(lái)源:期刊
具體來(lái)源:https://doi.org/10.1016/j.msec.2013.06.038
發(fā)表時(shí)間:2013年
BSA/Fe3O4 magnetic composite microspheres with high saturation magnetization and paramagnetic property were prepared via inverse emulsion technology at room temperature, bovine serum albumin (BSA, 60 KD), magnetic nanoparticles (Fe3O4) and glutaraldehyde as macromonomer, inorganic particles and cross-linking agent, respectively. Fourier transform infrared (FTIR), scanning electron microscope (SEM), metalloscope, and particle size analyzer were used to characterize morphology and structure of composite microspheres. Vibrating sample magnetometer (VSM) and thermogravimetric analysis (TGA) were used to test magnetic properties of the synthesized samples, adsorption capacity of microspheres was determined by ultraviolet spectrophotometer (UV). The results showed that BSA/Fe3O4microspheres were 43 μm with relatively narrow particle size distribution, perfect sphere-shaped morphologies, superparamagnetism with a saturation magnetization of 11 emu/g, and high magnetic content with a value of 57.29%. The main factors influencing properties of microspheres including raw material ratio, the amount of emulsifier and cross-linking agent, agitation speed were investigated and optimized. Furthermore, these microspheres accompanying with high separable and reusable efficient may have great potential application in the field of separation, in particular, removal of antibiotics. Adsorption capacities of the microspheres of four different kinds of antibiotics (erythromycin, streptomycin, tetracycline and chloramphenicol) ranging from 69.35 mg/g to 147.83 mg/g were obtained, and Langmuir isotherm model coincided with equilibrium data than that of the Freundlich model.
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