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A novel supramolecular polymer gel-based long-alkyl-chain-functionalized coumarin acylhydrazone for the sequential detection and separation of toxic ions.
Hu, Jing-Han; Yin, Zhi-Yuan; Gui, Kai; Fu, Qing-Qing; Yao, Ying; Fu, Xu-Mei; Liu, Hui-Xin.
Afiliação
  • Hu JH; College of Chemical and Biological Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, P. R. China. hujinghan62@163.com.
  • Yin ZY; College of Chemical and Biological Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, P. R. China. hujinghan62@163.com.
  • Gui K; College of Chemical and Biological Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, P. R. China. hujinghan62@163.com.
  • Fu QQ; College of Chemical and Biological Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, P. R. China. hujinghan62@163.com.
  • Yao Y; College of Chemical and Biological Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, P. R. China. hujinghan62@163.com.
  • Fu XM; College of Chemical and Biological Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, P. R. China. hujinghan62@163.com.
  • Liu HX; College of Chemical and Biological Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, P. R. China. hujinghan62@163.com.
Soft Matter ; 16(4): 1029-1033, 2020 Jan 28.
Article em En | MEDLINE | ID: mdl-31854429
ABSTRACT
A novel approach for the detection and separation of toxic ions was successfully developed via the introduction of competitive reactions into a long-alkyl-chained acylhydrazone-based coumarin supramolecular polymer, chemosensor OGC (3%, n-BuOH/H2O), which showed sequential detection and separation of CN-, Fe3+ and S2-, Ag+ in the gel state with high selectivity and sensitivity. Moreover, the ion-responsive films were prepared for the convenient and continuous detection of CN-, Fe3+ and S2-, Ag+ in water solution.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article