Wang Haowei, Jia Shangning, Wang Haojiang, Li Bo, Liu Wen, Li Ningbo, Qiao Jie, Li Chen-Zhong
College of Basic Medicine, Shanxi Medical University, Taiyuan 030001, China.
College of Basic Medicine, Shanxi Medical University, Taiyuan 030001, China.
Sci Bull (Beijing). 2017 Mar 1;62(5):319-325. doi: 10.1016/j.scib.2017.01.038. Epub 2017 Jan 26.
A potential adsorbent based on betaine-modified magnetic iron oxide nanoparticles (BMNPs) was successfully synthesized by facile method, characterized and applied for methyl blue (MB) removal from aqueous solution. The characterization results of FTIR, transmission electron microscopy (TEM), X-ray diffraction (XRD) and vibrating sample magnetometer (VSM) showed that the prepared nanoparticles could be well dispersed in water and exhibited excellent superparamagnetism. These properties imply the potential to recycle BMNPs from wastewater through magnetic field. In the adsorption process, the effects of main experimental parameters such as pH of MB solution, initial concentration of MB, contact time, and adsorption capacity for MB were studied and optimized. These results demonstrated that large amounts of quaternary ammonium groups existing on the surface of BMNPs could promote absorption of MB via electrostatic forces. Additionally, the adsorption kinetics of MB was found to follow a pseudo-second-order kinetic model and the adsorption equilibrium data fitted very closely to the Langmuir adsorption isotherm model. The maximum adsorption capacity for MB was calculated to be 136mgg at room temperature. Moreover, the BMNPs showed good reusability with 73.33% MB adsorption in the 5th cycle.
通过简便方法成功合成了一种基于甜菜碱修饰的磁性氧化铁纳米颗粒(BMNPs)的潜在吸附剂,对其进行了表征,并将其应用于从水溶液中去除甲基蓝(MB)。傅里叶变换红外光谱(FTIR)、透射电子显微镜(TEM)、X射线衍射(XRD)和振动样品磁强计(VSM)的表征结果表明,制备的纳米颗粒能够很好地分散在水中,并表现出优异的超顺磁性。这些特性意味着通过磁场从废水中回收BMNPs的潜力。在吸附过程中,研究并优化了主要实验参数如MB溶液的pH值、MB的初始浓度、接触时间以及对MB的吸附容量的影响。这些结果表明,BMNPs表面存在的大量季铵基团可通过静电力促进MB的吸收。此外,发现MB的吸附动力学符合准二级动力学模型,吸附平衡数据与Langmuir吸附等温线模型拟合得非常紧密。室温下计算得出对MB的最大吸附容量为136mg/g。此外,BMNPs表现出良好的可重复使用性,在第5个循环中对MB的吸附率为73.33%。