Triboelectric micro-flexure-sensitive fiber electronics
Shaomei Lin,
Weifeng Yang,
Xubin Zhu,
Yubin Lan,
Kerui Li,
Qinghong Zhang,
Yaogang Li,
Chengyi Hou () and
Hongzhi Wang ()
Additional contact information
Shaomei Lin: Donghua University
Weifeng Yang: Donghua University
Xubin Zhu: Donghua University
Yubin Lan: Shanghai Jiao Tong University
Kerui Li: Donghua University
Qinghong Zhang: Donghua University
Yaogang Li: Donghua University
Chengyi Hou: Donghua University
Hongzhi Wang: Donghua University
Nature Communications, 2024, vol. 15, issue 1, 1-10
Abstract:
Abstract Developing fiber electronics presents a practical approach for establishing multi-node distributed networks within the human body, particularly concerning triboelectric fibers. However, realizing fiber electronics for monitoring micro-physiological activities remains challenging due to the intrinsic variability and subtle amplitude of physiological signals, which differ among individuals and scenarios. Here, we propose a technical approach based on a dynamic stability model of sheath-core fibers, integrating a micro-flexure-sensitive fiber enabled by nanofiber buckling and an ion conduction mechanism. This scheme enhances the accuracy of the signal transmission process, resulting in improved sensitivity (detectable signal at ultra-low curvature of 0.1 mm−1; flexure factor >21.8% within a bending range of 10°.) and robustness of fiber under micro flexure. In addition, we also developed a scalable manufacturing process and ensured compatibility with modern weaving techniques. By combining precise micro-curvature detection, micro-flexure-sensitive fibers unlock their full potential for various subtle physiological diagnoses, particularly in monitoring fiber upper limb muscle strength for rehabilitation and training.
Date: 2024
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DOI: 10.1038/s41467-024-46516-0
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