期刊
MICROCHEMICAL JOURNAL
卷 174, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.microc.2021.107016
关键词
Silver ions; Ratiometric fluorescent probe; Smartphone platform; Visual analysis
资金
- Fundamental Research Funds for the Central Universities [2572021BU03]
- 111 Project [B20088]
- Heilongjiang Touyan Innovation Team Program (Tree Genetics and Breeding Innovation Team)
- Key Laboratory of Superlight Materials and Surface Technology (Harbin Engineering University)
A smartphone platform utilizing ratiometric fluorescence signals was developed for fast, sensitive, and on-site visual detection of silver ions. By constructing a ratiometric fluorescent probe with FITC and CdTe QDs, the color changes of the system were captured on a portable smartphone platform, enabling the visual analysis of Ag+ in environmental water samples at low detection limits.
In this work, a smartphone platform based on ratiometric fluorescence signals was reported, which can achieve fast, sensitive, and on-site visual detection of silver ions. The ratiometric fluorescent probe was constructed with fluorescein isothiocyanate (FITC) and telluride quantum dots (CdTe QDs) through electrostatic interaction. Silver ions will interact with -SH on the surface of CdTe QDs, which can cause the decrease of the fluorescence intensity at 680 nm, while the fluorescence of FITC at 522 nm remains unchanged. It displays the obvious color changes from orange-red to light yellow to green. Based on the changes, the portable smartphone platform was used to identify the RGB values of the system. Then, an analysis model was established according to the variation of RGB values for the visual analysis of Ag+. Under the best experimental conditions, the detection limit of Ag+ by fluorescence spectrometer analysis can be as low as 3.65 nM, the linear range was 12.50 nM to 500 nM. Additionally, the linear range of smartphone platform was 0.125-12.5 mu M, and the detection limit was 40 nM. Therefore, visual on-site analysis of Ag+ in environmental water samples can be achieved by capturing the obvious color changes of the system on a smartphone platform.
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