4.8 Article

Cohabiting Plant-Wearable Sensor In Situ Monitors Water Transport in Plant

Journal

ADVANCED SCIENCE
Volume 8, Issue 10, Pages -

Publisher

WILEY
DOI: 10.1002/advs.202003642

Keywords

electronic tattoos; flexible electronics; phenotyping; sap flow; water allocation

Funding

  1. National Natural Science Foundation of China [31971778]
  2. National Key RD Plan of China [2017YFC1601700, 2019YFD1000303, 2019YFD1001904]
  3. Key Research and Development Project of Zhejiang [2018C01048]
  4. Zhejiang Lab [2018EB0ZX01]

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This study presents a flexible electronic sensor that can coexist harmlessly with plants and continuously monitor the stem sap flow, contributing to plant health analysis, water consumption, and nutrient distribution. The sensor, with its light, soft, air/water/light-permeable design, enables continuous and non-destructive plant monitoring, showing great potential in phenotyping research. Additionally, the real-time investigation on watermelon stem flow revealed a previously unknown day/night shift pattern of water allocation between fruit and its adjacent branch.
The boom of plant phenotype highlights the need to measure the physiological characteristics of an individual plant. However, continuous real-time monitoring of a plant's internal physiological status remains challenging using traditional silicon-based sensor technology, due to the fundamental mismatch between rigid sensors and soft and curved plant surfaces. Here, the first flexible electronic sensing device is reported that can harmlessly cohabitate with the plant and continuously monitor its stem sap flow, a critical plant physiological characteristic for analyzing plant health, water consumption, and nutrient distribution. Due to a special design and the materials chosen, the realized plant-wearable sensor is thin, soft, lightweight, air/water/light-permeable, and shows excellent biocompatibility, therefore enabling the sap flow detection in a continuous and non-destructive manner. The sensor can serve as a noninvasive, high-throughput, low-cost toolbox, and holds excellent potentials in phenotyping. Furthermore, the real-time investigation on stem flow insides watermelon reveals a previously unknown day/night shift pattern of water allocation between fruit and its adjacent branch, which has not been reported before.

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