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Neutral MOF Anion Receptor: Radical-Promoted Precise Anion Recognition.
Dong, Shuyu; Yu, Zhiwu; Guo, Liecheng; Yang, Yuting; Tu, Changzheng; Krishna, Rajamani; Luo, Feng.
Afiliación
  • Dong S; School of Chemistry, Biology and Materials Science, East China University of Technology, Nanchang, 330013, P. R. China.
  • Yu Z; High Magnetic Field Laboratory Chinese Academy of Sciences Hefei, Hefei, Anhui, 230031, P. R. China.
  • Guo L; School of Chemistry, Biology and Materials Science, East China University of Technology, Nanchang, 330013, P. R. China.
  • Yang Y; College of Chemistry and Environmental Science, Qujing Normal University, Qujing, 655011, P. R. China.
  • Tu C; College of Chemistry and Environmental Science, Qujing Normal University, Qujing, 655011, P. R. China.
  • Krishna R; Van't Hoff Institute for Molecular Sciences, University of Amsterdam, Science Park 904, Amsterdam, 1098 XH, The Netherlands.
  • Luo F; School of Chemistry, Biology and Materials Science, East China University of Technology, Nanchang, 330013, P. R. China.
Small ; 19(46): e2304054, 2023 Nov.
Article en En | MEDLINE | ID: mdl-37469243
Precise ion recognition plays a key role in the anionic decontamination in water. However, the established anionic recognition based on neutral or cationic anion receptor is still restricted by the inherent limitation, such as narrow application scope in organic solvent rather than water for neutral anion receptor and poor selectivity due to non-directional electrostatic interaction for cationic anion receptor. Herein, for the first time, a neutral metal-organic framework (MOF) anion receptor is shown, enabling precise anion recognition, for example, the presence of a variety of 1000-fold competitive anions does not affect the selective adsorption of the target anion at all. A radical-dominating anion-recognition mechanism is proposed for rationalizing the efficacy of the neutral MOF.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Small Asunto de la revista: ENGENHARIA BIOMEDICA Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Small Asunto de la revista: ENGENHARIA BIOMEDICA Año: 2023 Tipo del documento: Article