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Wearable Sensor Based on Covalent Organic Framework Humidity Films for Long-Term Monitoring of Tomato Physiology Under Abiotic Stress
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    Wearable Sensor Based on Covalent Organic Framework Humidity Films for Long-Term Monitoring of Tomato Physiology Under Abiotic Stress
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    • Liang Huang
      Liang Huang
      Fujian Key Laboratory of Agricultural Information Sensoring Technology, College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China
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    • Xinyang He
      Xinyang He
      Department of Materials Science and Engineering, National University of Singapore, 9 Engineering Drive 1, Singapore 117576, Singapore
      Shanghai Frontier Science Research Center for Advanced Textiles, College of Textiles, Donghua University, Shanghai 201620, China
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    • Jimin Hu
      Jimin Hu
      Fujian Key Laboratory of Agricultural Information Sensoring Technology, College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China
      More by Jimin Hu
    • Caixun Qin
      Caixun Qin
      Fujian Key Laboratory of Agricultural Information Sensoring Technology, College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China
      More by Caixun Qin
    • Chenxin Huang
      Chenxin Huang
      College of Life Sciences & College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China
    • Yu Tang
      Yu Tang
      Academy of Interdisciplinary Studies, Guangdong Polytechnic Normal University, Guangzhou 510665, China
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    • Fenglin Zhong
      Fenglin Zhong
      College of Life Sciences & College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China
    • Xiangzeng Kong*
      Xiangzeng Kong
      Fujian Key Laboratory of Agricultural Information Sensoring Technology, College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China
      *E-mail: [email protected]
    • Xuan Wei*
      Xuan Wei
      Fujian Key Laboratory of Agricultural Information Sensoring Technology, College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China
      State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China
      *E-mail: [email protected]
      More by Xuan Wei
    Other Access OptionsSupporting Information (1)

    ACS Nano

    Cite this: ACS Nano 2024, 18, 48, 33105–33118
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    https://doi.org/10.1021/acsnano.4c09916
    Published November 20, 2024
    Copyright © 2024 American Chemical Society

    Abstract

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    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.

    Copyright © 2024 American Chemical Society

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    Supporting Information

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    The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acsnano.4c09916.

    • Synthesis process; humidity device system; tomato images; algorithm flowchart; SEM images of the MXAg IDE and COFMOP-TAPB; chemical structure and physical diagram of the COF; HR-TEM image of COFMOP-TAPB; AFM height image of COFMOP-TAPB; contact angle size of COFMOP-TAPB; XPS of COFMOP-TAPB; IV response characteristics of the COF; response curves of the COF; transpiration rate of leaf surface; stress (MPa)–strain curves of PDMS; response curve of COFMOP-TAPB; leaf lower surface of the tomato in light microscope images; response curves of the COF; variation trend of leaf surface humidity of tomato plants under the second round of drought stress, waterlogging, darkness stress, artificial light stress, temperature stress, KCl stress, NaCl stress, leaf damage, and stem damage; time series analysis results of relative humidity changes on the tomato leaf surface under nine abiotic stresses using a metaheuristic optimization algorithm (PDF)

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    Cited By

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    This article is cited by 1 publications.

    1. Sai Xu, Xi Huang, Xin Liang, Huazhong Lu. Application of wearable sensors in crop phenotyping and microenvironment monitoring. Chemical Engineering Journal 2025, 505 , 159059. https://doi.org/10.1016/j.cej.2024.159059

    ACS Nano

    Cite this: ACS Nano 2024, 18, 48, 33105–33118
    Click to copy citationCitation copied!
    https://doi.org/10.1021/acsnano.4c09916
    Published November 20, 2024
    Copyright © 2024 American Chemical Society

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