Suppr超能文献

用于电刺激医疗设备的可植入自供电系统。

Implantable Self-Powered Systems for Electrical Stimulation Medical Devices.

作者信息

Cui Xi, Wu Li, Zhang Chao, Li Zhou

机构信息

Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, China.

School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518107, China.

出版信息

Adv Sci (Weinh). 2024 Nov 26:e2412044. doi: 10.1002/advs.202412044.

Abstract

With the integration of bioelectronics and materials science, implantable self-powered systems for electrical stimulation medical devices have emerged as an innovative therapeutic approach, garnering significant attention in medical research. These devices achieve self-powering through integrated energy conversion modules, such as triboelectric nanogenerators (TENGs) and piezoelectric nanogenerators (PENGs), significantly enhancing the portability and long-term efficacy of therapeutic equipment. This review delves into the design strategies and clinical applications of implantable self-powered systems, encompassing the design and optimization of energy harvesting modules, the selection and fabrication of adaptable electrode materials, innovations in systematic design strategies, and the extensive utilization of implantable self-powered systems in biological therapies, including the treatment of neurological disorders, tissue regeneration engineering, drug delivery, and tumor therapy. Through a comprehensive analysis of the latest research progress, technical challenges, and future directions in these areas, this paper aims to provide valuable insights and inspiration for further research and clinical applications of implantable self-powered systems.

摘要

随着生物电子学与材料科学的融合,用于电刺激医疗设备的可植入自供电系统已成为一种创新的治疗方法,在医学研究中备受关注。这些设备通过集成能量转换模块实现自供电,如摩擦纳米发电机(TENGs)和压电纳米发电机(PENGs),显著提高了治疗设备的便携性和长期疗效。本综述深入探讨了可植入自供电系统的设计策略和临床应用,包括能量收集模块的设计与优化、适应性电极材料的选择与制造、系统设计策略的创新,以及可植入自供电系统在生物治疗中的广泛应用,包括神经疾病治疗、组织再生工程、药物递送和肿瘤治疗。通过对这些领域最新研究进展、技术挑战和未来方向的全面分析,本文旨在为可植入自供电系统的进一步研究和临床应用提供有价值的见解和启示。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验