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DOI 10.1002/advs.77580

Медицинская библиотека · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026

Mechanically Reprogrammed Coaxial Fibers for Multiphysics Transduction and Human-Machine Interfaces.

Cao Xinyi, Ye Chao, Ling Shengjie, Li Ming, Sha Zhao, Wang Chun-Hui, Peng Shuhua

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Аннотация

Fiber-shaped electronic systems provide a promising platform for wearable sensing and intelligent textiles, yet the continuous processing of uncured silicone-based conductive materials remains challenging because of their low structural stability during fiber formation. Here, we develop a coaxial wet-spinning strategy that enables the continuous aqueous-bath confinement of an uncured PDMS/CNT conductive core. During spinning, a rapidly phase-separating PVDF-HFP sheath provides immediate radial confinement, preventing leakage and structural collapse of the hydrophobic liquid core, while a UV-crosslinked PEGDA secondary network reinforces the sheath after fiber formation. Unlike removable templates or sacrificial supporting layers, the PVDF-HFP/PEGDA sheath is permanently retained as the dielectric and load-bearing component, thereby directly forming an integrated dielectric-electrode coaxial fiber. The resulting PVDF-HFP/PEGDA@PDMS/CNT fibers can be continuously fabricated at the meter scale and exhibit reversible sheath microstructural evolution, stable strain-dependent resistance, and reliable performance under repeated deformation. The integrated dielectric-electrode architecture also allows an individual fiber to generate triboelectric signals without additional device assembly. This work demonstrates a practical route for continuously processing uncured PDMS-based conductive materials in an aqueous coagulation bath and integrating mechanical, resistive, and triboelectric functions within a permanently retained coaxial fiber architecture.

Для цитирования: Cao Xinyi, Ye Chao, Ling Shengjie, Li Ming, Sha Zhao, Wang Chun-Hui, Peng Shuhua. Mechanically Reprogrammed Coaxial Fibers for Multiphysics Transduction and Human-Machine Interfaces.. Advanced science (Weinheim, Baden-Wurttemberg, Germany). 2026. DOI: 10.1002/advs.77580.
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