Bioinspired Conductive Enhanced Polyurethane Ionic Skin as Reliable Multifunctional Sensors

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Bioinspired Conductive Enhanced Polyurethane Ionic Skin as Reliable Multifunctional Sensors
Title:
Bioinspired Conductive Enhanced Polyurethane Ionic Skin as Reliable Multifunctional Sensors
Journal Title:
Advanced Science
Keywords:
Publication Date:
24 April 2023
Citation:
Zhao, B., Yan, J., Long, F., Qiu, W., Meng, G., Zeng, Z., Huang, H., Wang, H., Lin, N., & Liu, X. (2023). Bioinspired Conductive Enhanced Polyurethane Ionic Skin as Reliable Multifunctional Sensors. Advanced Science, 10(19). Portico. https://doi.org/10.1002/advs.202300857
Abstract:
AbstractIonogels prepared from ionic liquid (IL) have the characteristics of nonevaporation and stable performance relative to traditional hydrogels. However, the conductivities of commonly used ionogels are at very low relative to traditional hydrogels because the large sizes of the cation and anion in an IL impedes ion migration in polymer networks. In this study, ultradurable ionogels with suitable mechanical properties and high conductivities are prepared by impregnating IL into a safe, environmentally friendly water‐based polyurethane (WPU) network by mimicking the ion transport channels in the phospholipid bilayer of the cell membrane. The increase in electrical conductivity is attributed to the introduction of carboxylic acid in the hard segment of WPU; this phenomenon regularly arranges hard segment structural domains by hydrogen bonding, forming ionic conduction channels. The conductivities of their ionogels are >28–39 mS cm−1. These ionogels have adjustable mechanical properties that make the Young's modulus value (0.1–0.6 MPa) similar to that of natural skin. The strain sensor has an ultrahigh sensitivity that ranges from 0.99 to 1.35, with a wide sensing range of 0.1%–200%. The findings are promising for various ionotronics requiring environmental stability and high conductivity characteristics.
License type:
Attribution 4.0 International (CC BY 4.0)
Funding Info:
There was no specific funding for the research done
Description:
This work was financially supported by the National Natural Science Foundation of China (Grant Nos. 51773171, 12074322), China; Science and Technology Project of Xiamen City (3502Z20183012), China; Science and Technology Planning Project of Guangdong Province (2018B030331001), China; and Science, Technology and Innovation Commission of Shenzhen Municipality (Grant Nos. JCYJ20220530143215033, JCYJ20180504170208402)
ISSN:
2198-3844
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