Nucleobase-driven wearable Ionogel electronics for long-term human motion detection and electrophysiological signal monitoring
Ionogels are considered as ideal candidates for constructing flexible electronics due to their superior electrical conductivity, flexibility, high thermal and electrochemical stability. However, it remains a great challenge to simultaneously achieve high sensitivity, repeated adhesion, good self-hea...
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sg-ntu-dr.10356-1827722025-02-25T00:50:56Z Nucleobase-driven wearable Ionogel electronics for long-term human motion detection and electrophysiological signal monitoring Yan, Xiangrui Zhao, Rongrong Lin, Huijuan Zhao, Zengdian Song, Shasha Wang, Yifan School of Mechanical and Aerospace Engineering Engineering Bioelectrodes Electrophysiological signal Ionogels are considered as ideal candidates for constructing flexible electronics due to their superior electrical conductivity, flexibility, high thermal and electrochemical stability. However, it remains a great challenge to simultaneously achieve high sensitivity, repeated adhesion, good self-healing, and biocompatibility through a straightforward strategy. Herein, inspired by nucleobase-tackified strategy, a multifunctional adhesive ionogel is developed through one-step radical polymerization of acrylated adenine/uracil (Aa/Ua) and acrylic acid (AA) monomers in sodium caseinate (SC) stabilized liquid metal dispersions. As a soft conductive filler, the incorporating of liquid metal not only improves the electrical conductivity, but also enhances the mechanical strength, satisfying the stretchable sensing application. The large amount of noncovalent interactions (hydrogen bonding, metal coordination, and ion-dipole interactions) within the networks enable the ionogels to possess excellent stretchability, skin-like softness, good self-healing, and strong adhesion. Based on these desirable characteristics, the ionogel is suitable for wearable strain sensors to precisely detect diverse human movements under extreme environments. Moreover, the seamless adhesion with human skin allows the ionogel to function as bioelectrode patch for long-term and high-quality electrophysiological signal acquisition. This research provides a promising strategy for designing ionogels with tailored functionalities for wearable electronics that satisfy diverse application requirements. Nanyang Technological University This work was financially supported by the National Natural Science Foundation of China (22172092) and the Natural Science Foundation of Shandong Province (ZR2021MB079, ZR2021QB209). Y.W. acknowledges the NAP Award (020482) from Nanyang Technological University. 2025-02-25T00:50:04Z 2025-02-25T00:50:04Z 2025 Journal Article Yan, X., Zhao, R., Lin, H., Zhao, Z., Song, S. & Wang, Y. (2025). Nucleobase-driven wearable Ionogel electronics for long-term human motion detection and electrophysiological signal monitoring. Advanced Functional Materials, 35(2), 2412244-. https://dx.doi.org/10.1002/adfm.202412244 1616-301X https://hdl.handle.net/10356/182772 10.1002/adfm.202412244 2-s2.0-85205252960 2 35 2412244 en NAP (020482) Advanced Functional Materials © 2024 Wiley-VCH GmbH. All rights reserved. |
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Engineering Bioelectrodes Electrophysiological signal Yan, Xiangrui Zhao, Rongrong Lin, Huijuan Zhao, Zengdian Song, Shasha Wang, Yifan Nucleobase-driven wearable Ionogel electronics for long-term human motion detection and electrophysiological signal monitoring |
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Ionogels are considered as ideal candidates for constructing flexible electronics due to their superior electrical conductivity, flexibility, high thermal and electrochemical stability. However, it remains a great challenge to simultaneously achieve high sensitivity, repeated adhesion, good self-healing, and biocompatibility through a straightforward strategy. Herein, inspired by nucleobase-tackified strategy, a multifunctional adhesive ionogel is developed through one-step radical polymerization of acrylated adenine/uracil (Aa/Ua) and acrylic acid (AA) monomers in sodium caseinate (SC) stabilized liquid metal dispersions. As a soft conductive filler, the incorporating of liquid metal not only improves the electrical conductivity, but also enhances the mechanical strength, satisfying the stretchable sensing application. The large amount of noncovalent interactions (hydrogen bonding, metal coordination, and ion-dipole interactions) within the networks enable the ionogels to possess excellent stretchability, skin-like softness, good self-healing, and strong adhesion. Based on these desirable characteristics, the ionogel is suitable for wearable strain sensors to precisely detect diverse human movements under extreme environments. Moreover, the seamless adhesion with human skin allows the ionogel to function as bioelectrode patch for long-term and high-quality electrophysiological signal acquisition. This research provides a promising strategy for designing ionogels with tailored functionalities for wearable electronics that satisfy diverse application requirements. |
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School of Mechanical and Aerospace Engineering |
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School of Mechanical and Aerospace Engineering Yan, Xiangrui Zhao, Rongrong Lin, Huijuan Zhao, Zengdian Song, Shasha Wang, Yifan |
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Article |
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Yan, Xiangrui Zhao, Rongrong Lin, Huijuan Zhao, Zengdian Song, Shasha Wang, Yifan |
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Yan, Xiangrui |
title |
Nucleobase-driven wearable Ionogel electronics for long-term human motion detection and electrophysiological signal monitoring |
title_short |
Nucleobase-driven wearable Ionogel electronics for long-term human motion detection and electrophysiological signal monitoring |
title_full |
Nucleobase-driven wearable Ionogel electronics for long-term human motion detection and electrophysiological signal monitoring |
title_fullStr |
Nucleobase-driven wearable Ionogel electronics for long-term human motion detection and electrophysiological signal monitoring |
title_full_unstemmed |
Nucleobase-driven wearable Ionogel electronics for long-term human motion detection and electrophysiological signal monitoring |
title_sort |
nucleobase-driven wearable ionogel electronics for long-term human motion detection and electrophysiological signal monitoring |
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2025 |
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https://hdl.handle.net/10356/182772 |
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