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Highly Selective Detection of Metronidazole by Self-Assembly via 0D/2D N-C QDs/g-C3N4 Nanocomposites Through FRET Mechanism.
Wang, Shan; Fu, Jing; Zhang, Fang; Huan, Ruirui; Liu, Ting; Zeng, Xingguo.
Afiliación
  • Wang S; School of Chemistry and Chemical Engineering, Xianyang Normal University, Xianyang, 712000, People's Republic of China. shanwang2002@163.com.
  • Fu J; School of Chemistry and Chemical Engineering, Xianyang Normal University, Xianyang, 712000, People's Republic of China.
  • Zhang F; School of Chemistry and Chemical Engineering, Xianyang Normal University, Xianyang, 712000, People's Republic of China.
  • Huan R; School of Chemistry and Chemical Engineering, Xianyang Normal University, Xianyang, 712000, People's Republic of China.
  • Liu T; School of Chemistry and Chemical Engineering, Xianyang Normal University, Xianyang, 712000, People's Republic of China.
  • Zeng X; School of Chemistry and Chemical Engineering, Xianyang Normal University, Xianyang, 712000, People's Republic of China.
Nanoscale Res Lett ; 15(1): 87, 2020 Apr 19.
Article en En | MEDLINE | ID: mdl-32307591
ABSTRACT
A 0D/2D (0-dimensional/2-dimensional) nanostructure was designed by self-assembly of N-C QDs and carboxylated g-C3N4 nanosheets and used as a fluorescence resonance energy transfer (FRET) fluorescent sensor. The N-C QDs/g-C3N4 nanosheets were synthesized via the amino group on the N-C QD surface and the -COOH of the carboxylated g-C3N4 nanosheets. The mechanism of detection of metronidazole (MNZ) by N-C QDs/g-C3N4 nanocomposites is based on FRET between negatively charged N-QDs and positively charged carboxylated g-C3N4 nanoparticles. N-C QDs/g-C3N4 nanostructures displayed good responses for the detection of MNZ at normal temperature and pressure. The decrease in the fluorescence intensity showed a good linear relationship to MNZ concentration within 0-2.6 × 10-5 mol/L, and the detection limit was 0.66 µM. The novel FRET sensor will have a great potential in clinical analysis and biological studies.
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Nanoscale Res Lett Año: 2020 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Nanoscale Res Lett Año: 2020 Tipo del documento: Article