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DOI 10.1016/j.ijbiomac.2026.154742

Медицинская библиотека · International journal of biological macromolecules · 2026

Vapor-phase-reduction-assisted solid-state compensation enables intrinsic self-decoupled dual-modal sensing in copper-coordinated cellulose fibers.

Gao Zhiying, Lu Yaoyao, Li Wenjie, Dong Yanjuan, Zhang Hongjian, Liang Erzhen, Wang Lingli, Tam Kam Chiu, Yu Hou-Yong, Li Tieyan

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Аннотация

Fiber electronics are emerging as key building blocks for intelligent robotic systems, yet reliable multimodal signal decoupling remains elusive because stochastic interfacial polymerization produces structurally heterogeneous conductive networks that intrinsically couple electrical responses. Here, an in-situ vapor-phase-reduction-assisted solid-state compensation strategy is developed to establish robust interfacial anchoring in flexible woven copper-coordinated cellulose fibers, enabling intrinsic decoupling of piezoresistive and piezocapacitive responses, with a high conductivity of 445.5 S m-1 and durable operation over 10,000 cycles. Leveraging the resulting architecture, the soft electronic devices integrate stretch-resistive and pressure-capacitive sensing for grip-angle sensing via stretching deformation (GF = 9.5) and weight detection through subtle gap variations with high pressure sensitivity (2.9 kPa-1 within 6.13-51 kPa). Furthermore, the self-decoupled copper-coordinated cellulose fibers enable independently decoupled perception of object shape and weight, facilitating adaptive interaction with diverse objects. Overall, this work provides a general framework for engineering intrinsically self-decoupled fiber electronics toward advanced robotic perception and object manipulation.

Для цитирования: Gao Zhiying, Lu Yaoyao, Li Wenjie, Dong Yanjuan, Zhang Hongjian, Liang Erzhen, Wang Lingli, Tam Kam Chiu, Yu Hou-Yong, Li Tieyan. Vapor-phase-reduction-assisted solid-state compensation enables intrinsic self-decoupled dual-modal sensing in copper-coordinated cellulose fibers.. International journal of biological macromolecules. 2026. DOI: 10.1016/j.ijbiomac.2026.154742.
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