非生物成分
可穿戴计算机
仪表板
环境科学
材料科学
计算机科学
相对湿度
非生物胁迫
蒸腾作用
持续监测
接口(物质)
基质(水族馆)
生物系统
纳米技术
复合材料
气象学
嵌入式系统
生态学
化学
工程类
植物
生物
物理
基因
光合作用
生物化学
毛细管作用
数据科学
毛细管数
运营管理
作者
Liang Huang,Xinyang He,Jimin Hu,Chuan Qin,Chenxin Huang,Yu Tang,Fenglin Zhong,Xiangzeng Kong,Xuan Wei
出处
期刊:ACS Nano
[American Chemical Society]
日期:2024-11-20
标识
DOI:10.1021/acsnano.4c09916
摘要
Global agricultural productivity is affected by plant stresses every year; as a consequence, monitoring and preventing plant stresses is a significant measure to protect the agro-ecological environment. Similar to the adoption of wearable devices to appraise human physiological information and disease diagnosis, however, in situ nondestructive monitoring of complex and weak physiological information in plants is an enormous challenge for the development of wearable sensors. Herein, to accurately analyze the changes of tomato internal information under multiple abiotic stresses in real-time, we introduce the covalent organic framework (COF) film synthesized by self-assembly layer by layer through the oil/water interface as a sensitive material to develop a multifilm-integrated wearable sensor capable of monitoring leaf surface humidity and leaf temperature. The flexible substrate can stretch with leaf growth to ensure the accuracy of long-term monitoring. Benefiting from the performance characteristics, such as ultrahigh sensitivity (S) of 0.8399 nA/%RH and an extremely low-resolution (ΔRH) value of 0.0564%, which could amplify the conducted signal, and the long-term stability of COFMOP-TAPB, the transpiration information on tomatoes under 10 abiotic stresses can be monitored continuously and with high precision over a long period by applying the COF-based sensor on the lower surface of the leaf at the upper end of the stem morphology. Finally, we employ metaheuristic optimization algorithms to predict the time series of the internal physiological change trend of tomatoes in the future so that farmers can take corresponding preventive measures in time to ensure the healthy growth of tomatoes.
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