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February 2, 2026ACS Sensors0 citations

Spatially Programmable Electromechanical Response Enabled by Designed Island-Bridge Conductive Fibers for Motion-Sensing Textiles

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XZXiaoqiu ZhongLZL. ZhuXZXin Zhang

Key Points

  • The aim is to develop highly stretchable, conductive fibers with enhanced electromechanical properties for wearable applications.
  • Developed fibers using a wet-spinning technique, incorporating liquid metal particles and carbon nanotubes in a polyurethane matrix.
  • Induced fiber assembly through ultrasound activation to create a hierarchical dual-network structure.
  • Evaluated the fibers' performance based on conductivity, tensile strength, strain sensitivity, and recyclability.
  • Achieved a conductivity of 3.22 × 10³ S·m⁻¹ and tensile strength of 6.6 MPa.
  • Demonstrated strain-insensitive charge transport with minimal resistance change over extensive cycling.
  • Enabled programmatic modulation of fiber structure for applications such as motion sensing and Joule heating.

Abstract

Integrating high conductivity, stretchability, and mechanical and electrical performance in fibers remains challenging for wearables. This study develops highly stretchable, recyclable composite conductive fibers with exceptional electromechanical stability. Fibers were fabricated via wet-spinning by uniformly dispersing liquid metal particles (LMPs) and carboxylated carbon nanotubes (CNT-COOH) within a polyurethane matrix, forming an initial LMP-CNTNet island-bridge network. Subsequent ultrasound activation induced the assembly of a continuous LMP-dominated network (LMPNet), creating a hierarchical dual-network structure (LMPNet-CNTNet). This design achieves a conductivity of 3.22 × 103 S·m-1, a tensile strength of 6.6 MPa, strain-insensitive charge transport (ΔR -1 at 100% strain), and near-zero resistance drift (1.6% change over 2000 cycles). Programmatic modulation of the fiber spatial structure via ultrasonic activation enables the integration of high-power transmission, precision Joule heating, and real-time motion sensing. Moreover, the system enables closed-loop recycling via dissolution/respinning, retaining >80% original performance after five cycles. This work provides a sustainable and robust platform for next-generation multimodal smart textiles.

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Cite This Study

Zhong et al. (2026) studied this question.

synapsesocial.com/papers/6980fe7cc1c9540dea810995https://doi.org/10.1021/acssensors.5c03440
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