2026/03/20 by Liubing Fan, Fangfang Gao, Liangxu Xu +7 · 1 voice
Materials Science · Engineering · #MXene and MAX Phase Materials #Advanced Sensor and Energy Harvesting Materials #Nanomaterials and Printing Technologies
paper · doi:10.1007/s40820-026-02132-9
openalex publication_date 2026/03/20 · openalex created_date 2026/03/20 · openalex updated_date 2026/07/29
Abstract Accurate monitoring of electrophysiological signals through epidermal electrodes is crucial for advancing human–machine interfaces and wearable healthcare. While highly conductive materials are conventionally used as epidermal electrodes, their limited electrochemical performance results in high interfacial impedance and consequent signal distortion. Here, we present an electrochemically enhanced low-impedance Ti 3 C 2 T x MXene epidermal electrode for accurate electrophysiological monitoring. The low interfacial impedance is achieved by producing and bridging large Ti 3 C 2 T x MXene nanosheets. Large MXene nanosheets were prepared by combining precursor particle sedimentation with mild shear-assisted exfoliation. An orderly stacking structure was constructed through hydroxyethyl cellulose (HEC) crosslinking large MXene nanosheets to enhance electrochemical performance and flexibility. The epidermal electrodes were fabricated by bonding HEC/MXene film to poly(dimethylsiloxane) substrate via in - situ curing. The MXene epidermal electrodes exhibit lower interfacial impedance (53 kΩ cm 2 at 10 Hz) compared to standard Ag/AgCl gel electrodes (436 kΩ cm 2 at 10 Hz). This reduction results in a 2.4-fold improvement in signal-to-noise ratio, enabling accurate electrophysiological monitoring. A miniature recording system is integrated with the epidermal electrodes to monitor electrophysiological signals in wearable scenes. Physiological applications have been validated in gesture recognition and health monitoring. Therefore, the electrochemically enhanced low-impedance MXene epidermal electrodes offer a reliable option for acquiring high-fidelity electrophysiological signals.