Literature DB >> 35915277

Turn-on fluorescence determination of sulfide based on site-occupying modulation of MOF-copper nanocluster interaction.

Xue Hu1, Jianshe Tang1, Yizhong Shen2.   

Abstract

A tunable interaction between Fe-MOFs (MIL-53(Fe) and kojic acid (KA)-functional copper nanoclusters (Cu NCs) has been studied. When introducing MIL-53(Fe), the Fe-O bonds can be formed between the KA on the surface of Cu NCs and MIL-53(Fe), which will induce the electron transfer from Cu NCs to MIL-53(Fe) and fluorescence quenching of Cu NCs. By introducing S2- it occupies the Fe-site of MIL-53(Fe) and impede the interaction between Cu NCs and MIL-53(Fe), rendering a "turn-on" fluorescence signal. Thus, the KA-Cu NC/MIL-53(Fe) pair is designed as fluorescence sensing for S2-, which displays a low detection limit of 18.6 nM and a wide linear detection range from 0.05 to 5 µM by fitting the fluorescence intensity at maximum wavelength of 500 nm with excitation at 400 nm. It was also applied to monitor S2- in water samples and food additives with satisfactory results, demonstrating the practicability and reliability of the sensing strategy based on the tuable MOF-Cu NC interactions.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature.

Entities:  

Keywords:  Copper nanoclusters; Fluorescence sensing; Metal–organic frameworks; Site-occupying effect

Mesh:

Substances:

Year:  2022        PMID: 35915277     DOI: 10.1007/s00604-022-05422-2

Source DB:  PubMed          Journal:  Mikrochim Acta        ISSN: 0026-3672            Impact factor:   6.408


  29 in total

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7.  A turn-on fluorescence strategy for cellular glutathione determination based on the aggregation-induced emission enhancement of self-assembled copper nanoclusters.

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Review 10.  Photoluminescent Nanoparticles for Chemical and Biological Analysis and Imaging.

Authors:  W Russ Algar; Melissa Massey; Kelly Rees; Rehan Higgins; Katherine D Krause; Ghinwa H Darwish; William J Peveler; Zhujun Xiao; Hsin-Yun Tsai; Rupsa Gupta; Kelsi Lix; Michael V Tran; Hyungki Kim
Journal:  Chem Rev       Date:  2021-07-20       Impact factor: 60.622

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