School of Environment and Materials Engineering, Yantai University, Yantai 264005, China.
CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Research Center for Coastal Environmental Engineering and Technology, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China.
Sensors (Basel). 2023 Mar 14;23(6):3094. doi: 10.3390/s23063094.
Traces of mercury ions in environmental water can harm humans and animals. Paper-based visual detection methods have been widely developed for the rapid detection of mercury ions; however, existing methods are not sensitive enough to be used in real environments. Here, we developed a novel, simple and effective visual fluorescent sensing paper-based chip for the ultrasensitive detection of mercury ions in environmental water. CdTe-quantum-dots-modified silica nanospheres were firmly absorbed by and anchored to the fiber interspaces on the paper's surface to effectively avoid the unevenness caused by liquid evaporation. The fluorescence of quantum dots emitted at 525 nm can be selectively and efficiently quenched with mercury ions, and the ultrasensitive visual fluorescence sensing results attained using this principle can be captured using a smartphone camera. This method has a detection limit of 2.83 µg/L and a fast response time (90 s). We successfully achieved the trace spiking detection of seawater (from three regions), lake water, river water and tap water with recoveries in the range of 96.8-105.4% using this method. This method is effective, low-cost, user-friendly and has good prospects for commercial application. Additionally, the work is expected to be utilized in the automated big data collection of large numbers of environmental samples.
环境水中痕量的汞离子会对人类和动物造成危害。基于纸的可视化检测方法已经被广泛开发用于快速检测汞离子;然而,现有的方法不够灵敏,无法在实际环境中使用。在这里,我们开发了一种新颖、简单、有效的基于纸的可视化荧光传感芯片,用于环境水中汞离子的超灵敏检测。CdTe-量子点修饰的硅纳米球被牢固地吸收并固定在纸表面纤维间隙上,以有效避免因液体蒸发引起的不均匀性。量子点发射的荧光在 525nm 处可被汞离子选择性和高效地猝灭,利用这一原理获得的超灵敏可视化荧光传感结果可以用智能手机相机捕捉。该方法的检测限为 2.83μg/L,响应时间快(90s)。我们成功地利用该方法实现了对海水(来自三个地区)、湖水、河水和自来水的痕量添加检测,回收率在 96.8-105.4%范围内。该方法有效、低成本、使用方便,具有良好的商业应用前景。此外,这项工作有望用于大量环境样本的自动化大数据采集。
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