Liu Jingjing, Zhan Yuanjin, Qiu Bin, Lin Zhenyu, Guo Longhua
Fujian Universities and Colleges Engineering Research Center of Soft Plastic Packaging Technology for Food, Fujian Polytechnic Normal University, Fuqing, Fujian Province 350300, P. R. China.
Department of Chemistry, State Key Laboratory of Molecular Engineering of Polymers and Chem, Fudan University, Shanghai 200433, P. R. China.
ACS Sens. 2023 Feb 24;8(2):884-892. doi: 10.1021/acssensors.2c02589. Epub 2023 Jan 19.
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)])-based smartphone sensing platform was developed for the detection of F. The red fluorescent ruthenium bipyridine [Ru(bpy)] molecule was chosen as the reference signal, and the carbon dots (AA-CDs) with Al 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.
开发一种无需仪器、可现场实时、灵敏且可视化的氟离子(F)含量快速检测策略对于保障民众健康至关重要。便携式、可直接读数且易于操作的智能微器件近来备受关注。在此,开发了一种基于比率荧光探针(AA-CDs@[Ru(bpy)])的智能手机传感平台用于检测F。选择红色荧光钌联吡啶[Ru(bpy)]分子作为参考信号,设计具有铝聚集诱导增强发射(AIE)的碳点(AA-CDs)作为响应信号。比率探针荧光随着不同浓度的F响应而从红色连续变化为青色,通过智能手机颜色识别应用程序(APP)提取荧光图像的红-绿-蓝(RGB)通道值。蓝红(B/R)比率与F浓度之间存在线性关系,检测限(LOD)为1.53 μM,远低于世界卫生组织规定的饮用水中F的允许含量。使用几种水和牙膏样品作为实际样品,现场快速检测F含量,具有令人满意的重复性和相对标准偏差。该平台具有低成本、便携、易于操作以及良好的稳定性、选择性和重复性等特点,为基于智能手机的微传感平台在环境保护、诊断和食品安全评估等领域的视觉定量检测提供了有力工具。