Self-Healable, Low-Hysteresis, and Notch-Insensitive Conductive Hydrogels Enabled by Viscoelastic Nanoparticles for Sensitive Human Motion Sensing

Due to the conflicts between the extremely low hysteresis, toughness, and self-healing, it still remains challenging for the fabrication of hydrogels simultaneously achieving these contradictory properties. Here, we established a simple yet reliable strategy to produce tough, self-healable, and low-hysteresis conductive polymer hydrogels. The conductive hydrogels are fabricated via a one-step emulsion polymerization, which consists of the continuous acrylamide (AAm)/PEDOT:PSS aqueous phase and the dispersed n-butyl acrylate (nBA)/PEGBDB oil phase. In the formed hydrogel network, the PAAm polymer chains are covalently cross-linked by the special PnBA/PEGBDB viscoelastic nanoparticles, which play the following roles: (1) improving the hydrogel mechanical strength as cross-linker; (2) endowing the hydrogel with good self-healing capability via the dense boronic ester groups inside; and (3) transmitting the stress through the reversible deformation to significantly reduce the energy dissipation. The resultant PEDOT:PSS-based hydrogels display the combination of considerable stretchability, toughness, notch insensitivity, and extremely low hysteresis. Meanwhile, the fractured hydrogels can be healed at ambient temperature to restore their functionalities. This general yet versatile design strategy provides a solution to well balance the trade-off between the contradictory properties of toughness, self-healing, and low hysteresis and opens up new avenues for high-performance flexible electronic devices.

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Institutions

Publication Details

Journal
Chemistry of Materials
Published
2024-10-02
DOI
https://doi.org/10.1021/acs.chemmater.4c01974
Citations
8
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
1.48

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article

Self-Healable, Low-Hysteresis, and Notch-Insensitive Conductive Hydrogels Enabled by Viscoelastic Nanoparticles for Sensitive Human Motion Sensing

Tianxi X. Liu, Xiaohui Yu, Xiaoshan Fan, Zhihong Wang et al.
8 citations
Chemistry of Materials
Advanced Sensor and Energy Harvesting Materials
1.48
article

Self-Healable, Low-Hysteresis, and Notch-Insensitive Conductive Hydrogels Enabled by Viscoelastic Nanoparticles for Sensitive Human Motion Sensing

Tianxi X. Liu, Xiaohui Yu, Xiaoshan Fan, Zhihong Wang, Zibiao Li
article en
8 citations

Abstract

Due to the conflicts between the extremely low hysteresis, toughness, and self-healing, it still remains challenging for the fabrication of hydrogels simultaneously achieving these contradictory properties. Here, we established a simple yet reliable strategy to produce tough, self-healable, and low-hysteresis conductive polymer hydrogels. The conductive hydrogels are fabricated via a one-step emulsion polymerization, which consists of the continuous acrylamide (AAm)/PEDOT:PSS aqueous phase and the dispersed n-butyl acrylate (nBA)/PEGBDB oil phase. In the formed hydrogel network, the PAAm polymer chains are covalently cross-linked by the special PnBA/PEGBDB viscoelastic nanoparticles, which play the following roles: (1) improving the hydrogel mechanical strength as cross-linker; (2) endowing the hydrogel with good self-healing capability via the dense boronic ester groups inside; and (3) transmitting the stress through the reversible deformation to significantly reduce the energy dissipation. The resultant PEDOT:PSS-based hydrogels display the combination of considerable stretchability, toughness, notch insensitivity, and extremely low hysteresis. Meanwhile, the fractured hydrogels can be healed at ambient temperature to restore their functionalities. This general yet versatile design strategy provides a solution to well balance the trade-off between the contradictory properties of toughness, self-healing, and low hysteresis and opens up new avenues for high-performance flexible electronic devices.

Chemistry of MaterialsVol. 36(19)
Jiangnan University (CN), Agency for Science, Technology and Research (SG), Donghua University (CN)
Agency for Science, Technology and Research, China Scholarship Council
Openalex Percentile: Top 19%
Advanced Sensor and Energy Harvesting Materials
1.48
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