期刊文献+

Unexpected Selective Absorption of Lithium in Thermally Reduced Graphene Oxide Membranes 被引量:1

下载PDF
导出
摘要 Lithium plays an increasingly important role in scientific and industrial processes, and it is extremely important to extract lithium from a high Mg^(2+)/Li^(+) mass ratio brine or to recover lithium from the leachate of spent lithiumion batteries. Conventional wisdom shows that Li^(+) with low valence states has a much weaker adsorption(and absorption energy) with graphene than multivalent ions such as Mg^(2+). Here, we show the selective adsorption of Li^(+) in thermally reduced graphene oxide(rGO) membranes over other metal ions such as Mg^(2+), Co^(2+), Mn^(2+),Ni^(2+), or Fe^(2+). Interestingly, the adsorption strength of Li^(+) reaches up to 5 times the adsorption strength of Mg^(2+),and the mass ratio of a mixed Mg^(2+)/Li^(+) solution at a very high value of 500 : 1 can be effectively reduced to 0.7 : 1 within only six experimental treatment cycles, demonstrating the excellent applicability of the rGO membranes in the Mg^(2+)/Li^(+) separation. A theoretical analysis indicates that this unexpected selectivity is attributed to the competition between cation–π interaction and steric exclusion when hydrated cations enter the confined space of the rGO membranes.
作者 江杰 木留华 强羽 杨一舟 王志坤 伊若冰 裘银伟 陈亮 闫隆 方海平 Jie Jiang;Liuhua Mu;Yu Qiang;Yizhou Yang;Zhikun Wang;Ruobing Yi;Yinwei Qiu;Liang Chen;Long Yan;Haiping Fang(Shanghai Institute of Applied Physics,Chinese Academy of Sciences,Shanghai 201800,China;University of Chinese Academy of Sciences,Beijing 100049,China;Department of Physics,East China University of Science and Technology,Shanghai 200237,China;Department of Optical Engineering,Zhejiang Provincial Key Laboratory of Chemical Utilization of Forestry Biomass,Zhejiang A&F University,Hangzhou 311300,China)
出处 《Chinese Physics Letters》 SCIE CAS CSCD 2021年第11期48-52,共5页 中国物理快报(英文版)
基金 Supported by the Fundamental Research Funds for the Central Universities the National Natural Science Foundation of China(Grant Nos. 11974366, 11675246, 12074341, U1832170, and U1832150) the Key Research Program of Chinese Academy of Sciences(Grant No. QYZDJ-SSW-SLH053) the Computer Network Information Center of the Chinese Academy of Sciences the Shanghai Supercomputer Center of China。
  • 相关文献

同被引文献1

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部