<p>Conductive hydrogel-based stretchable electronics have been extensively investigated, among which strain sensors are the most prominently studied. While the mechanical properties significantly affect the performance of these devices, the systematic correlation between specific mechanical parameters and sensing performance remains rarely explored. This work compares the influences of Young’s modulus and mechanical hysteresis on the sensing performance between highly entangled PAM-Li and double-network PAM-Li-Agar-3 strain sensors. Owing to the brittle agar network, which imparts a higher Young’s modulus and pronounced mechanical hysteresis to the double-network PAM-Li-Agar-3 hydrogel, the corresponding sensor requires a greater driving force for deformation and yields signals with poor reproducibility. In comparison, the PAM-Li hydrogel, characterized by highly entangled polymer chains, exhibits a lower Young’s modulus and negligible mechanical hysteresis. Consequently, signals from the PAM-Li strain sensor demonstrate enhanced sensitivity and stability. Therefore, this work demonstrates that a low Young’s modulus and minimal mechanical hysteresis are critical factors for achieving superior sensing performance in strain sensors, as systematically validated through comparative analyses across diverse application scenarios.</p>

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Key roles of Young’s modulus and mechanical hysteresis in hydrogel strain sensors for high-fidelity sensing

  • Yuanlai Fang,
  • Jialin Li,
  • Zhongxiang Bai,
  • Jingjiang Wei,
  • Kun Yang,
  • Li Yang,
  • Qingyuan Wang,
  • Jiaxi Cui

摘要

Conductive hydrogel-based stretchable electronics have been extensively investigated, among which strain sensors are the most prominently studied. While the mechanical properties significantly affect the performance of these devices, the systematic correlation between specific mechanical parameters and sensing performance remains rarely explored. This work compares the influences of Young’s modulus and mechanical hysteresis on the sensing performance between highly entangled PAM-Li and double-network PAM-Li-Agar-3 strain sensors. Owing to the brittle agar network, which imparts a higher Young’s modulus and pronounced mechanical hysteresis to the double-network PAM-Li-Agar-3 hydrogel, the corresponding sensor requires a greater driving force for deformation and yields signals with poor reproducibility. In comparison, the PAM-Li hydrogel, characterized by highly entangled polymer chains, exhibits a lower Young’s modulus and negligible mechanical hysteresis. Consequently, signals from the PAM-Li strain sensor demonstrate enhanced sensitivity and stability. Therefore, this work demonstrates that a low Young’s modulus and minimal mechanical hysteresis are critical factors for achieving superior sensing performance in strain sensors, as systematically validated through comparative analyses across diverse application scenarios.