Self-Recovering Crosslinked Natural Rubber Sensors for Vascular Simulation in Wireless Electro-Syringe Injection
DOI:
https://doi.org/10.46604/peti.2026.16290Keywords:
natural rubber vulcanization, self-recovering crosslinked network, vascular simulation sensor, injection training device, Fick’s second lawAbstract
Safe injection technique is recognized as a critical competency in medical training, yet access to realistic and affordable simulators remains limited. This study aims to develop a wireless electro-syringe system that incorporates a self-recovering crosslinked natural rubber sensor for vascular tissue response. The sensor is fabricated from natural rubber latex via controlled sulfur vulcanization, enabling autonomous structural recovery after repeated needle penetrations. A closed-circuit detection system delivers immediate feedback upon overpenetration, providing real-time performance guidance. Fourier transform infrared spectroscopy (FTIR) analysis confirms a reduction of carbon-carbon double bonds and the formation of carbon-sulfur crosslinks. Increasing vulcanization temperature and curing time enhances crosslinking density and improves mechanical performance and self-recovery properties. Diffusion analysis confirms Fickian behavior (n ≈ 0.5) with an activation energy of 31.244 kJ·mol-1. The elastic modulus gradually recovers after disruption, suggesting effective network reformation. Overall, this work provides a low-cost, reusable, and mechanically realistic solution for injection training.
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