Hydroprinted Liquid-Alloy-Based Morphing Electronics for Fast-Growing/Tender Plants: From Physiology Monitoring to Habit Manipulation

被引:58
作者
Jiang, Jiajun [1 ]
Zhang, Shuo [1 ]
Wang, Bei [1 ,2 ]
Ding, Han [1 ]
Wu, Zhigang [1 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Mech Sci & Engn, State Key Lab Digital Mfg Equipment & Technol, Wuhan 430074, Peoples R China
[2] Uppsala Univ, Dept Mat Sci & Engn, Box 534, S-75121 Uppsala, Sweden
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
habit manipulation; high-surface-energy liquid-assisted pinning; hydroprinted liquid alloy circuits; liquid alloy behavior; morphing electronics; plant physiology monitors; GALLIUM-INDIUM EGAIN; SENSORS; METAL; INTERFACES; WIRES;
D O I
10.1002/smll.202003833
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Monitoring physiological signals and manipulating growth habits of living plants in real time are important for botany research, biohybrid plant robots, and precision agriculture. Although emerging epidermal electronics that can conveniently acquire vital signals of living organisms exhibit a high potential for such scenarios, it is a significant challenge to adapt such devices for plants, because they are fragile and usually have complex surfaces that can change significantly during rapid growth. A gentle fabrication process is critical in order to employ compliant electronic systems to adapt to this highly dynamic situation. In this study, a hydroprinted liquid-alloy-based morphing electronics (LAME) process is employed for fast-growing plants that will sense physiological signals and even function as a biohybrid to determine plant behavior on demand. Besides various surfaces of inorganic targeting substrates, pinning liquid alloy circuits onto the complex plant epidermis is enhanced by introducing high-surface-energy liquid. Functionally, the new developed LAME can be used to monitor leaf moisture content and length, and manipulate leaf and bean sprout orientation. This study lays the foundation for a new form of morphing electronics for botany or biohybrid plant robots, potentially impacting the next generation of precision agriculture and smart hybrid robots.
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页数:10
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