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<p>Precise monitoring and rehabilitation guidance of the affected limb during the perioperative period were crucial for severed limb replantation patients. However, the existing methods have obvious shortcomings in time continuity, multi-parameter perception, passive rehabilitation and feedback timeliness. Here, a self-crosslinked lignin-based elastomer sensor (AL-E) was developed without external initiators and crosslinking agents, demonstrating its potential for perioperative monitoring and rehabilitation functions. The introduction of lignin as a renewable biomaterial enhanced the renewability of elastomer and imparted the AL-E with a low Young’s modulus (92.96&#xa0;kPa), high stretchability (729%), fast self-healing under UV irradiation (&lt; 10&#xa0;min), and rapid response (0.1&#xa0;s). These properties suggested the potential of the AL-E for applications in identifying the risk of limb hypothermia caused by insufficient blood supply and capturing respiratory monitoring through its temperature sensitivity, while also quantifying postoperative recovery effect and controlling a robotic hand for assisted passive rehabilitation via its strain responsiveness. Furthermore, a conceptual framework for physiological monitoring and rehabilitation was established based on the AL-E, offering a potential pathway toward a full-cycle spanning intraoperative monitoring, postoperative warning, and rehabilitation guidance. Overall, this study represents a promising step toward a potential method to address the multiple demands during the perioperative phase of limb replantation.</p>

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Self-crosslinked lignin-based elastomer sensors for multifunctional sensing: A proof-of-concept study in limb rehabilitation

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年4月11日

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  • Zhiwen Jia,
  • Hengmao Liang,
  • Chaoji Chen,
  • Yan Sun,
  • Lin Chen,
  • Peilin Mai,
  • Shuibin Liang,
  • Linghao Li,
  • Wenge Chen,
  • Zerong Liu,
  • Tao Wu,
  • Junyu Li,
  • Shiyang Wang,
  • Rongliang Qiu,
  • Xiwei Xu

摘要

Precise monitoring and rehabilitation guidance of the affected limb during the perioperative period were crucial for severed limb replantation patients. However, the existing methods have obvious shortcomings in time continuity, multi-parameter perception, passive rehabilitation and feedback timeliness. Here, a self-crosslinked lignin-based elastomer sensor (AL-E) was developed without external initiators and crosslinking agents, demonstrating its potential for perioperative monitoring and rehabilitation functions. The introduction of lignin as a renewable biomaterial enhanced the renewability of elastomer and imparted the AL-E with a low Young’s modulus (92.96 kPa), high stretchability (729%), fast self-healing under UV irradiation (< 10 min), and rapid response (0.1 s). These properties suggested the potential of the AL-E for applications in identifying the risk of limb hypothermia caused by insufficient blood supply and capturing respiratory monitoring through its temperature sensitivity, while also quantifying postoperative recovery effect and controlling a robotic hand for assisted passive rehabilitation via its strain responsiveness. Furthermore, a conceptual framework for physiological monitoring and rehabilitation was established based on the AL-E, offering a potential pathway toward a full-cycle spanning intraoperative monitoring, postoperative warning, and rehabilitation guidance. Overall, this study represents a promising step toward a potential method to address the multiple demands during the perioperative phase of limb replantation.