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An anomalous anion transfer order in graphene oxide membranes induced by anion-π interactions.
Chen, Junjie; Li, Jie; Liu, Xing; He, Zhenglin; Shi, Guosheng.
Afiliação
  • Chen J; Shanghai Applied Radiation Institute, State Key Laboratory Advanced Special Steel, Shanghai University, Shanghai 200444, P. R. China. gsshi@shu.edu.cn.
  • Li J; Shanghai Applied Radiation Institute, State Key Laboratory Advanced Special Steel, Shanghai University, Shanghai 200444, P. R. China. gsshi@shu.edu.cn.
  • Liu X; Shanghai Applied Radiation Institute, State Key Laboratory Advanced Special Steel, Shanghai University, Shanghai 200444, P. R. China. gsshi@shu.edu.cn.
  • He Z; Shanghai Applied Radiation Institute, State Key Laboratory Advanced Special Steel, Shanghai University, Shanghai 200444, P. R. China. gsshi@shu.edu.cn.
  • Shi G; Shanghai Applied Radiation Institute, State Key Laboratory Advanced Special Steel, Shanghai University, Shanghai 200444, P. R. China. gsshi@shu.edu.cn.
Phys Chem Chem Phys ; 25(19): 13260-13264, 2023 May 17.
Article em En | MEDLINE | ID: mdl-37161531
ABSTRACT
Selective transport of anions across membranes has become an important goal in chemistry and biology. Here, we found an anomalous anion transfer order within the graphene oxide membrane Cl- > Br- > F- > I-. This is at odds with the conventional ranking of the transfer order, which usually decreases as the radii of the anions increase, i.e., F- > Cl- > Br- > I-. The abnormal transportation of F- can be ascribed to the strong anion-π interactions between F- and graphene oxide sheets. Such unexpectedly strong anion-π interaction resulted in the lower movement of F- in the graphene oxide membrane and caused the anomalous anion transfer order. Our findings not only provide experimental evidence of anion-π interactions, but also improve our understanding of anion-π interactions in the selective transport of anions across a two-dimensional membrane.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article