Carbon dot based sensing platform for real-time imaging Cu2+distribution in plants and environment

文献类型： 外文期刊

第一作者： Lin, Junjie

作者： Lin, Junjie;Huang, Xiaoman;Kou, Erfeng;Cai, Wenxiao;Zhang, Haoran;Zhang, Xuejie;Liu, Yingliang;Li, Wei;Lei, Bingfu;Lei, Bingfu;Zheng, Yinjian

作者机构：

关键词： Biosensor; Cu2+detection; Carbon dots; Plant

期刊名称：BIOSENSORS & BIOELECTRONICS （ 影响因子：12.545； 五年影响因子：10.722 ）

ISSN： 0956-5663

年卷期： 2023 年 219 卷

页码：

收录情况： SCI

摘要： Divalent copper is a double-edged sword for plants, excess or shortage of copper ions will cause adverse reactions in plants. Currently, Cu2+ sensor for plants is still underdeveloped and new technology is urgently required for realizing one-step and real-time detection of Cu2+ in plants. Herein, a home-made and low-cost sensing platform is constructed by using carbon dots (CDs) as the optical probe, electronic devices for image acquisition, and a built-in algorithm program for image processing, which allows the dynamic monitoring of Cu2+ distribution in different plant species with high spatial and temporal resolution. We found that the detection limit of R-CDs for Cu2+ in water sample was 0.375 nM, and 11.7 mg/kg or even less Cu2+ in plants can be visually observed and accurately detected by the sensing platform. Moreover, this sensing platform has also been employed for reporting the spatial distribution of Cu2+ in the external environment of plants, demonstrating its applicability for monitoring Cu2+ both in living plants and the surrounding environment. This study provides a smart sensing platform for precise detection in plant internal and external environments, offering a promising strategy for precision agriculture in real-time and remote-control manners.

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