Duan Yikun, Sun Zhaoyang, Zhang Qiangqiang, Dong Yalin, Lin Yagai, Ji Dongxiao, Qin Xiaohong
Key Laboratory of Textile Science & Technology of Ministry of Education, College of Textiles, Donghua University, Shanghai, China.
Nat Commun. 2025 Jul 10;16(1):6362. doi: 10.1038/s41467-025-61444-3.
Conductive fibers are crucial for smart textiles and wearable electronics, yet achieving satisfactory elasticity is challenging due to the mismatch between the substrate and the conductive material. Herein, we propose an adhesion channeling strategy that enables three-dimensional control of liquid metal (LM) flow on the yarn surface, allowing for the simultaneous deformation of both the LM and the yarn. This approach ensures that the yarns maintain a low resistance of 0.082 Ω/cm and exhibit conductivity stability across a wide strain range, with a resistance change (ΔR/R) of only 0.703 at 600% strain. The yarn exhibits electrical stability under various mechanical stresses-including twisting, bending, pressing, and large-strain tensile cycling-as well as during washing processes. By modifying the functional materials within the electrospun fibers, we demonstrate the application of the yarns' superior Joule heating effect for intelligent color regulation of fabrics, providing a feasible solution for the advanced design of smart textiles.
导电纤维对智能纺织品和可穿戴电子产品至关重要,但由于基底与导电材料之间的不匹配,实现令人满意的弹性具有挑战性。在此,我们提出一种粘附通道策略,该策略能够对液态金属(LM)在纱线表面的流动进行三维控制,使LM和纱线同时变形。这种方法确保纱线保持0.082 Ω/cm的低电阻,并在很宽的应变范围内表现出导电性稳定性,在600%应变下电阻变化(ΔR/R)仅为0.703。该纱线在各种机械应力下(包括扭转、弯曲、挤压和大应变拉伸循环)以及洗涤过程中都表现出电稳定性。通过修饰电纺纤维内的功能材料,我们展示了纱线优异的焦耳热效应在织物智能颜色调节方面的应用,为智能纺织品的先进设计提供了可行的解决方案。