Triboelectric micro-flexure-sensitive fiber electronics

Triboelectric micro-flexure-sensitive fiber electronics

15 March 2024 | Shaomei Lin, Weifeng Yang, Xubin Zhu, Yubin Lan, Kerui Li, Qinghong Zhang, Yaogang Li, Chengyi Hou & Hongzhi Wang
The article presents a novel approach to developing micro-flexure-sensitive fiber electronics, which are crucial for monitoring micro-physiological activities within the human body. The researchers propose a dynamic stability model of sheath-core fibers, integrating a micro-flexure-sensitive fiber enabled by nanofiber buckling and an ion conduction mechanism. This design enhances signal transmission accuracy, achieving ultra-low curvature detection (0.1 mm\(^{-1}\)) and a flexure factor >21.8% within a 10° bending range. The fibers are also scalable and compatible with modern weaving techniques, making them suitable for various applications such as muscle strength monitoring and rehabilitation. The study demonstrates the potential of these fibers in precise physiological diagnosis and wearable biomechanical feedback systems, highlighting their superior sensitivity and robustness compared to existing technologies.The article presents a novel approach to developing micro-flexure-sensitive fiber electronics, which are crucial for monitoring micro-physiological activities within the human body. The researchers propose a dynamic stability model of sheath-core fibers, integrating a micro-flexure-sensitive fiber enabled by nanofiber buckling and an ion conduction mechanism. This design enhances signal transmission accuracy, achieving ultra-low curvature detection (0.1 mm\(^{-1}\)) and a flexure factor >21.8% within a 10° bending range. The fibers are also scalable and compatible with modern weaving techniques, making them suitable for various applications such as muscle strength monitoring and rehabilitation. The study demonstrates the potential of these fibers in precise physiological diagnosis and wearable biomechanical feedback systems, highlighting their superior sensitivity and robustness compared to existing technologies.
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