Low-Impedance and Degradable Soft Dual-Mode Hydrogel Sensor for Real-Time Strain and Bioelectric Signal Acquisition

Wearable bioelectronic systems demand materials that strike a balance between mechanical softness, reliable electrical performance, and biocompatibility. Yet, many conventional gels fall short in practice often showing high interfacial impedance, limited stretchability, and poor degradability, making them less suitable for emerging applications in flexible healthcare technologies. Here we report a degradable, low-impedance Hydrogel developed through a simple aqueous synthesis using waterborne polyurethane (WPU), poly(vinyl alcohol) (PVA), and sodium tetraborate (STD). The gel forms a hybrid cross-linked network based on dynamic borate ester bonds and hydrogen bonding, which imparts both good conductivity and mechanical adaptability. Functionally, the material operates as both a soft strain sensor and a bioelectrical interface. It can detect joint motion with high sensitivity and simultaneously record clean electrophysiological signals such as electromyography (EMG), electroencephalography (EEG), and electrocardiography (ECG). When benchmarked against commercial Ag/AgCl electrodes, the gel exhibits noticeably lower skin–electrode impedance and enhanced signal clarity. The ability to acquire both strain and EMG signals through a single, integrated interface opens up the possibility of motion artifact reduction and genuine multimodal sensing, without adding complexity to the system. With its softness, conductivity, and environmental degradability, this gel presents a versatile and promising platform for future wearable healthcare devices, neuromuscular diagnostics, and human–machine interaction systems.

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Publication Details

Journal
ACS Applied Electronic Materials
Published
2025-10-23
DOI
https://doi.org/10.1021/acsaelm.5c01031
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
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article

Low-Impedance and Degradable Soft Dual-Mode Hydrogel Sensor for Real-Time Strain and Bioelectric Signal Acquisition

Chengkuo Lee, Yan Wang, Yuhang Li, Jingxi Wang
ACS Applied Electronic Materials
Advanced Sensor and Energy Harvesting Materials
article

Low-Impedance and Degradable Soft Dual-Mode Hydrogel Sensor for Real-Time Strain and Bioelectric Signal Acquisition

Chengkuo Lee, Yan Wang, Yuhang Li, Jingxi Wang
article en

Abstract

Wearable bioelectronic systems demand materials that strike a balance between mechanical softness, reliable electrical performance, and biocompatibility. Yet, many conventional gels fall short in practice often showing high interfacial impedance, limited stretchability, and poor degradability, making them less suitable for emerging applications in flexible healthcare technologies. Here we report a degradable, low-impedance Hydrogel developed through a simple aqueous synthesis using waterborne polyurethane (WPU), poly(vinyl alcohol) (PVA), and sodium tetraborate (STD). The gel forms a hybrid cross-linked network based on dynamic borate ester bonds and hydrogen bonding, which imparts both good conductivity and mechanical adaptability. Functionally, the material operates as both a soft strain sensor and a bioelectrical interface. It can detect joint motion with high sensitivity and simultaneously record clean electrophysiological signals such as electromyography (EMG), electroencephalography (EEG), and electrocardiography (ECG). When benchmarked against commercial Ag/AgCl electrodes, the gel exhibits noticeably lower skin–electrode impedance and enhanced signal clarity. The ability to acquire both strain and EMG signals through a single, integrated interface opens up the possibility of motion artifact reduction and genuine multimodal sensing, without adding complexity to the system. With its softness, conductivity, and environmental degradability, this gel presents a versatile and promising platform for future wearable healthcare devices, neuromuscular diagnostics, and human–machine interaction systems.

ACS Applied Electronic MaterialsVol. 7(21)
Ningbo University (CN), University of Nottingham Ningbo China (CN), National University of Singapore (SG), Zhejiang Shuren University (CN), Liaoning Academy of Materials, Beihang University (CN)
Openalex Percentile: Top 70%
Advanced Sensor and Energy Harvesting Materials
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