Preparation and application of iron oxide/persimmon tannin/graphene oxide nanocomposites for efficient adsorption of erbium from aqueous solution

• 作者: Chaoke Qin Guiyin Li Lin Gao Mingmin Gao Na He Xi Qian Zhenming Chen Zhide Zhou Zhongmin Wang
• 来源期刊: 稀土学报（英文版）
• 年，卷（期）: 2020,（12）
• 所属期刊栏目: CHEMISTRY AND HYDROMETALLURGY
• 页码范围: 1344-1353
• 页数: 10页
• 语种: 英文

摘要

Rare earth elements (REEs) are used for the development of new energy materials owing to their intrinsic physicochemical property. However, excess REEs in water threaten the safety of animals, plants and humans. An efficient way to separate REEs from the water is therefore needed. In this study, a biosorbent consisting of iron oxide (Fe3O4), persimmon tannin (PT), and graphene oxide (GO) as Fe3O4/PT/GO was prepared, and the adsorption of trivalent erbium (Er3+) ions from aqueous solution was investigated. The adsorption process for Er3+ ions conforms to pseudo-second order kinetic and the Langmuir isotherm model behavior. Thermodynamic studies indicate that the adsorption process is spontaneous and endothermic. Scanning electron microscopy (SEM), X-ray photoelectron spectroscopy (XPS), X-ray diffraction (XRD), thermogravimetric analysis (TGA), Fourier-transform infrared (FT-IR) spectroscopy, Brunauer-Emmett-Teller (BET) analysis, and vibrating sample magnetometer (VSM) were used to assess the adsorption mechanism of Er3+ions onto the Fe3O4/PT/GO biosorbent. A combination of electrostatic interactions, redox reactivity and chelation are responsible for adsorption of Er3+ions on the Fe3O4/PT/GO biosorbent. The magnetic Fe3O4/PT/GO biosorbent can be easily separated under the magnetic field for effective recycle of Er3+ ions from aqueous solution. Therefore, this new biomass composite holds great promise for wastewater treatment.

作者信息

序号	姓名	单位	发文数	被引次数	H指数	G指数
1	Lin Gao		1	0	0.0	0.0
2	Zhongmin Wang		1	0	0.0	0.0
3	Chaoke Qin		1	0	0.0	0.0
4	Zhenming Chen		1	0	0.0	0.0
5	Mingmin Gao		1	0	0.0	0.0
6	Na He		1	0	0.0	0.0
7	Xi Qian		1	0	0.0	0.0
8	Zhide Zhou		1	0	0.0	0.0
9	Guiyin Li		1	0	0.0	0.0