Jump to main content
Jump to site search


Surface lanthanide activator doping for constructing highly efficient energy transfer-based nanoprobes for the on-site monitoring of atmospheric sulfur dioxide

Author affiliations

Abstract

The sensitive and on-site detection of sulfur dioxide (SO2) is in great demand in the fields of food safety and environmental protection. Here, we developed a novel upconversion nanoprobe based on the luminescence energy transfer mechanism for monitoring the atmospheric SO2 concentrations. The lanthanide emitters, Tm3+ ions, were optimized to be doped on the surface layer of the upconversion nanoparticles to improve their energy transfer efficiency by minimizing the distance between the emitters and the surface quencher, a cyanine dye. As a proof-of-concept, the optimal nanoprobe was utilized to detect SO2 water derivatives, bisulfite ions, exhibiting a linear luminescence increase in the range of 1 nM to 10 nM. Furthermore, we assembled the cyanine-modified upconversion nanoparticles onto a test paper, and used a smartphone-based detection platform to achieve portable and visual detection of SO2. The test paper showed a strong luminescence stability, homogeneity and good anti-interference. The limit of detection for SO2 gas was found to be 1 ng Lāˆ’1. This novel upconversion test paper was also demonstrated to directly monitor the concentration of SO2 gas in atmosphere.

Graphical abstract: Surface lanthanide activator doping for constructing highly efficient energy transfer-based nanoprobes for the on-site monitoring of atmospheric sulfur dioxide

Back to tab navigation

Supplementary files

Publication details

The article was received on 04 Sep 2019, accepted on 11 Nov 2019 and first published on 11 Nov 2019


Article type: Paper
DOI: 10.1039/C9AN01725A
Analyst, 2020, Advance Article

  •   Request permissions

    Surface lanthanide activator doping for constructing highly efficient energy transfer-based nanoprobes for the on-site monitoring of atmospheric sulfur dioxide

    C. Zhang, X. Ling, Q. Mei, H. He, S. Deng and Y. Zhang, Analyst, 2020, Advance Article , DOI: 10.1039/C9AN01725A

Search articles by author

Spotlight

Advertisements