4.6 Article

Portable Smartphone Platform Based on Aggregation-Induced Enhanced Emission Carbon Dots for Ratiometric Quantitative Sensing of Fluoride Ions

Journal

ACS SENSORS
Volume -, Issue -, Pages -

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acssensors.2c02589

Keywords

carbon dot; AIE; F-; ratiometric fluorescence; smartphone; RGB

Ask authors/readers for more resources

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. A smartphone sensing platform based on a ratiometric fluorescent probe was developed for the detection of F-. The platform features low cost, portability, easy operation, and good stability, selectivity, and repeatability, providing a powerful tool for visual quantitative detection in various fields.
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 sens-ing 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 mu M, 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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available