Portable Smartphone Platform Based on Aggregation-Induced Enhanced Emission Carbon Dots for Ratiometric Quantitative Sensing of Fluoride Ions.
Jingjing LiuYuanjin ZhanBin QiuZhenyu LinLonghua GuoPublished in: ACS sensors (2023)
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 Al 3+ 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.
Keyphrases
- fluorescent probe
- living cells
- quantum dots
- drinking water
- loop mediated isothermal amplification
- energy transfer
- single molecule
- sensitive detection
- low cost
- label free
- real time pcr
- high throughput
- high resolution
- healthcare
- public health
- risk assessment
- health risk assessment
- working memory
- mass spectrometry
- nitric oxide
- machine learning
- health information
- health promotion