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碳纤维增强聚醚醚酮上的激光直写传感器,用于智能矫形植入物。

Laser Direct-Write Sensors on Carbon-Fiber-Reinforced Poly-Ether-Ether-Ketone for Smart Orthopedic Implants.

机构信息

Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China.

Key Laboratory for Advanced Materials Processing Technology, Ministry of Education, Tsinghua University, Beijing, 100084, China.

出版信息

Adv Sci (Weinh). 2022 Apr;9(11):e2105499. doi: 10.1002/advs.202105499. Epub 2022 Feb 10.

Abstract

Mechanically close-to-bone carbon-fiber-reinforced poly-ether-ether-ketone (CFR-PEEK)-based orthopedic implants are rising to compete with metal implants, due to their X-ray transparency, superior biocompatibility, and body-environment stability. While real-time strain assessment of implants is crucial for the postsurgery study of fracture union and failure of prostheses, integrating precise and durable sensors on orthopedic implants remains a great challenge. Herein, a laser direct-write technique is presented to pattern conductive features (minimum sheet resistance <1.7 Ω sq ) on CRF-PEEK-based parts, which can act as strain sensors. The as-fabricated sensors exhibit excellent linearity (R  = 0.997) over the working range (0-2.5% strain). While rigid silicon- or metal-based sensor chips have to be packaged onto flat surfaces, all-carbon-based sensors can be written on the complex curved surfaces of CFR-PEEK joints using a portable laser mounted on a six-axis robotic manipulator. A wireless transmission prototype is also demonstrated using a Bluetooth module. Such results will allow a wider space to design sensors (and arrays) for detailed loading progressing monitoring and personalized diagnostic applications.

摘要

基于碳纤维增强聚醚醚酮(CFR-PEEK)的骨科植入物由于其 X 射线透明性、优异的生物相容性和与人体环境的稳定性,正在逐渐与金属植入物竞争。虽然植入物的实时应变评估对于骨折愈合和假体失效的术后研究至关重要,但在骨科植入物上集成精确和耐用的传感器仍然是一个巨大的挑战。本文提出了一种激光直写技术,在 CFR-PEEK 基零件上形成导电图案(最小方阻 <1.7 Ω/sq),可作为应变传感器。所制备的传感器在工作范围内(0-2.5%应变)表现出优异的线性度(R = 0.997)。虽然刚性硅或金属基传感器芯片必须封装到平面上,但使用安装在六轴机器人操纵器上的便携式激光,可以在 CFR-PEEK 关节的复杂曲面上写入全碳基传感器。还展示了使用蓝牙模块的无线传输原型。这些结果将为详细的加载进展监测和个性化诊断应用设计传感器(和传感器阵列)提供更大的空间。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ebf/9009116/4ce1125782e5/ADVS-9-2105499-g003.jpg

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