检出限
荧光
青色
重复性
RGB颜色模型
材料科学
钌
人口
化学
纳米技术
分析化学(期刊)
计算机科学
色谱法
催化作用
光学
物理
社会学
人口学
操作系统
生物化学
作者
Jingjing Liu,Yuanjin Zhan,Bin Qiu,Zhenyu Lin,Longhua Guo
出处
期刊:ACS Sensors
[American Chemical Society]
日期:2023-01-19
卷期号:8 (2): 884-892
被引量:35
标识
DOI:10.1021/acssensors.2c02589
摘要
The development of an instrument-free, on-site, real-time, sensitive, and visualized fluoride-ion (F–) content rapid detection strategy is crucial to ensuring the health of the population. Smart microdevices that are portable, directly read, and easy to operate have recently attracted much attention. Herein, a ratiometric fluorescent probe (AA-CDs@[Ru(bpy)3]2+)-based smartphone sensing platform was developed for the detection of F–. The red fluorescent ruthenium bipyridine [Ru(bpy)3]2+ molecule was chosen as the reference signal, and the carbon dots (AA-CDs) with Al3+ aggregation-induced enhanced emission (AIE) were designed as the response signal. The ratiometric probe fluorescence changed continuously from red to cyan in response to different concentrations of F–, and the red–green–blue (RGB) channel values of the fluorescence image were extracted through the smartphone color recognition application (APP). There was a linear relationship between the blue–red (B/R) ratio and the F– concentration, with a limit of detection (LOD) of 1.53 μM, far below the allowable content of F– in drinking water prescribed by the World Health Organization. The F– content was rapidly detected on-site with satisfactory repeatability and relative standard deviation using several water and toothpaste samples as the real sample. The platform features low cost, portability, easy operation, and good stability, selectivity, and repeatability, which provides a powerful tool for the visual quantitative detection of smartphone-based microsensing platforms possibly in the fields of environmental protection, diagnosis, and food safety assessment.
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