Multi-mechanism synergistic regulation in MXene/polyacrylamide/polystyrene composite hydrogels for high-performance stretchable strain sensors
Abstract
This study presents the development of a stretchable strain sensor based on a MXene/polyacrylamide (PAM)/polystyrene (PS) composite hydrogel. Optimizing the material composition and fabrication enables synergistic regulation of a hybrid elastic tunneling model. Linear resistance changes originate from PAM matrix deformation, while additional variations arise from MXene interlayer tunneling. The introduction of PS-induced microcracks further amplifies conductive-path modulation, thereby enhancing sensitivity, response speed, and cyclic stability. The composite hydrogel was synthesized via thermal polymerization, and a systematic evaluation was conducted on the effects of varying MXene (0–77.97 wt. %) and PS (0–0.21 wt. %) ratios on the microstructure, electrical properties, and conduction mechanisms. The sensor demonstrates high performance, achieving a maximum gauge factor of 2.35, a peak strain of up to 98.56%, a minimum detectable strain of 0.0405%, and a high-frequency response of 1.4 Hz across optimized compositions. These metrics show improvements compared with conventional PAM-based binary hydrogel sensors. Furthermore, the sensor retained 95% of its performance after 1000 cycles and achieved rapid response times (∼300 ms) under various stretching angles. This work systematically elucidates the coupled conduction behavior driven by multiple mechanisms and achieves a balance between high sensitivity and wide strain range through compositional tuning. This work establishes a theoretical basis for optimizing the design of flexible sensors and demonstrates potential for future applications in wearable health monitoring and human–machine interaction systems.
Article Details
Journal Info
Applied Physics Letters
American Institute of Physics
Authors (3)
Binglang Chang
Nishuang Liu
School of Physics, Huazhong University of Science and Technology , Wuhan 430074,
Lin Yi