Meder, F orcid.org/0000-0002-1331-0265, Saar, S, Taccola, S et al. (3 more authors) (2021) Ultraconformable, Self‐Adhering Surface Electrodes for Measuring Electrical Signals in Plants. Advanced Materials Technologies, 6 (4). 2001182. ISSN 2365-709X
Abstract
The electrical signals in plant's physiological processes are of great interest in biology, biohybrid robotics, and sensors for interfacing the living organisms with an electronic readout and control. This paper reports on the application of conformable, self-adhering surface electrodes for the measurement and bidirectional stimulation of electrical signals in plants. The inkjet-printed poly(3,4-ethylenedioxythiophene) polystyrene sulfonate based electrodes are <3 µm thick, light-weight, soft and flexible, and can be easily and non-invasively transferred onto plant's outer organs for surface potential recordings due to their realization on tattoo transfer paper. The devices prove to be extremely versatile for analyzing electrical signals in Dionaea muscipula, Arabidopsis thaliana, and Codariocalyx motorius and for stimulating mechanical responses in D. muscipula. A benefit over traditional electrodes is the van der Waals self-adherence of the thin electrodes, their intrinsic flexibility and adaptation also on small leaves while providing excellent readout. The same electrode allows long-term multicycle measurements over at least 10 days and, moreover, straightforward recordings on fast-moving organs such as snapping fly traps and endogenously oscillating leaflets. The results confirm that self-adhering soft organic electronics are particularly suitable for plant electrical signal analysis when easy-application, self-adaptation, and long-term performance are required in plant science, biohybrid robotics, and biohybrid sensors.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 The Authors. Advanced Materials Technologies published by Wiley-VCH GmbH. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | biohybrid robotics and sensors; electrophysiology; organic electronics; plant's electrical signals; soft electronics |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Future Manufacturing Processes (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 17 Jul 2023 14:13 |
Last Modified: | 17 Jul 2023 14:13 |
Status: | Published |
Publisher: | Wiley |
Identification Number: | 10.1002/admt.202001182 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:201517 |