High‐Strength, Self‐Healing, and Conductive Polyurethane Enabled by Double Crosslinking Network for Advanced Multifunctional Strain Sensors

Flexible and stretchable conductive elastomers have broad application prospects in health monitoring, wearable flexible sensor, and information encryption. However, the current electronic conductors have conductive fillers easily fall off, conductive performance is unstable, and other problems limit their practical applications. Therefore, developing a conductive elastomer that combines high mechanical properties, good compatibility of the conductive filler with the substrate, and stable conductivity remains a significant challenge. In this thesis, a self-healing conductive elastomer with excellent mechanical properties, conductivity, and good compatibility of the conductive filler with the substrate is successfully synthesized by introducing high-density hydrogen bonding and dynamic disulfide bonding into the polyurethane network with the addition of a high-performance conductive filler, conductive carbon black (Super P). It possesses a stable conductivity of 8.4 × 10<sup>-4</sup> S cm<sup>-1</sup> at room temperature, a tensile strength of 27.5 MPa, and an elongation at break of 578.7%, as well as good resilience and 46% self-healing efficiency. Wearable strain sensors, designed for durability, stability, and high sensitivity, are ideal for detecting human motion, monitoring rehabilitation training, and enabling encrypted information transmission. This study provides new ideas for developing high-performance, self-repairable, and recyclable flexible conductive materials, which promotes the development of wearable electronic devices.

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Publication Details

Journal
Macromolecular Rapid Communications
Published
2025-05-23
DOI
https://doi.org/10.1002/marc.202500177
Citations
2
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
1.35

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article

High‐Strength, Self‐Healing, and Conductive Polyurethane Enabled by Double Crosslinking Network for Advanced Multifunctional Strain Sensors

Xiwei Xu, Ziqian Wang, Yuxuan Xie, Zequan Li et al.
2 citations
Macromolecular Rapid Communications
Advanced Sensor and Energy Harvesting Materials
1.35
article

High‐Strength, Self‐Healing, and Conductive Polyurethane Enabled by Double Crosslinking Network for Advanced Multifunctional Strain Sensors

Xiwei Xu, Ziqian Wang, Yuxuan Xie, Zequan Li, Changsheng Wang, Zhi-Quan Hu, Wei Gao
article en
2 citations

Abstract

Flexible and stretchable conductive elastomers have broad application prospects in health monitoring, wearable flexible sensor, and information encryption. However, the current electronic conductors have conductive fillers easily fall off, conductive performance is unstable, and other problems limit their practical applications. Therefore, developing a conductive elastomer that combines high mechanical properties, good compatibility of the conductive filler with the substrate, and stable conductivity remains a significant challenge. In this thesis, a self-healing conductive elastomer with excellent mechanical properties, conductivity, and good compatibility of the conductive filler with the substrate is successfully synthesized by introducing high-density hydrogen bonding and dynamic disulfide bonding into the polyurethane network with the addition of a high-performance conductive filler, conductive carbon black (Super P). It possesses a stable conductivity of 8.4 × 10<sup>-4</sup> S cm<sup>-1</sup> at room temperature, a tensile strength of 27.5 MPa, and an elongation at break of 578.7%, as well as good resilience and 46% self-healing efficiency. Wearable strain sensors, designed for durability, stability, and high sensitivity, are ideal for detecting human motion, monitoring rehabilitation training, and enabling encrypted information transmission. This study provides new ideas for developing high-performance, self-repairable, and recyclable flexible conductive materials, which promotes the development of wearable electronic devices.

Macromolecular Rapid CommunicationsVol. 46(18)
Guangxi University (CN), Guangxi Science and Technology Department (CN), Guangxi Academy of Sciences (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 20%
Advanced Sensor and Energy Harvesting Materials
1.35
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