Low-temperature plasma induced phosphate groups onto coffee residue-derived porous carbon for efficient U(Ⅵ) extraction  

在线阅读下载全文

作  者:Zhongshan Chen Xuan He Qian Li Hui Yang Yang Liu Lining Wu Zhixin Liu Baowei Hu Xiangke Wang 

机构地区:[1]School of Life Science,Shaoxing University,Shaoxing 312000,China [2]College of Environmental Science and Engineering,North China Electric Power University,Beijing 102206,China [3]School of Energy Power and Mechanical Engineering,North China Electric Power University,Beijing 102206,Chin

出  处:《Journal of Environmental Sciences》2022年第12期1-13,共13页环境科学学报(英文版)

基  金:supported by the National Key Research and Development Program of China(Nos.2018YFC1900105,2016YFA0203200,2017YFA0207002);the Beijing Outstanding Young Scientist Program and the Fundamental Research Funds for the Central Universities(No.2019MS044)。

摘  要:For the continuous utilization of nuclear energy and efficient control of radioactive pollution, low-cost materials with high efficient U(VI) removal are of great importance. In this study, low temperature plasma method was applied for the successful modification of Ophosphorylethanolamine(O-PEA) on the porous carbon materials. The produced materials(Cafe/O-PEA) could adsorb U(VI) efficiently with the maximum sorption capacity of 648.54mg/g at 1 hr, T=298 K, and p H=6.0, much higher than those of most carbon-based composites. U(VI) sorption was mainly controlled by strong surface complexation. From FTIR,SEM-EDS and XPS analyses, the sorption of U(VI) was related to the complexation with-NH2, phosphate and-OH groups on Cafe/O-PEA. The low temperature plasma method was an efficient, environmentally friendly and low-cost method for surface modification of materials for the effective enrichment of U(VI) from aqueous solutions.

关 键 词:U(Ⅵ) Coffee residue Porous carbon Low-temperature plasma MODIFICATION 

分 类 号:X771[环境科学与工程—环境工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象