遥感
经济短缺
铜
环境科学
计算机科学
图像分辨率
碳纤维
纳米技术
材料科学
人工智能
地质学
哲学
算法
冶金
复合数
语言学
政府(语言学)
作者
Junjie Lin,Xiaoman Huang,Erfeng Kou,Wenxiao Cai,Haoran Zhang,Xuejie Zhang,Yingliang Liu,Wei Li,Yinjian Zheng,Bingfu Lei
标识
DOI:10.1016/j.bios.2022.114848
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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