Liquid Metal Microrobots for Magnetically Guided Transvascular Navigation
Xiaohui Ju, Roshan Velluvakandy, Xianghua Wu, Miguel Angel Merlos Rodrigo, Zbyněk Heger, Kamila Bendíčková, Jan Frič, Martin Pumera
Central European Institute of Technology Brno University of Technology Wuhan University of Technology State Key Laboratory of Advanced Technology For Materials Synthesis and Processing
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
Soft microrobots, compared with their rigid counterparts, offer superior adaptability in dynamic and confined biological environments. Here, magnetically-guided liquid metal microrobots composed of gallium-indium alloys embedded with Fe nanoparticles are introduced. The unique combination of magnetic maneuverability, high surface tension, intrinsic radiopacity, and deformability allows liquid metal-based microbots to overcome limitations of both hard microrobots and fragile droplet-based systems. Under magnetic actuation, liquid metal-based magnetic microrobots exhibit controllable rolling and upstream locomotion resembling neutrophil-like navigation, enabling precise maneuvering even against physiological flow. Bridging in vitro with in vivo experiments, quail egg chorioallantoic membrane models are used to demonstrate guided transport of these microrobots through blood vessels, accumulation at tumor xenografts, and migration within subcutaneous tissues. Moreover, their strong X-ray visibility enables real-time fluoroscopic tracking, validated in porcine heart vasculature. Importantly, liquid metal-based magnetic microbots can cross endothelial barriers in a vascular flow-on-a-chip platform, while maintaining endothelial biocompatibility. By integrating deformability, magnetic steerability, and imaging visibility, liquid metal-based microrobots establish a powerful platform for minimally invasive transvascular navigation. This work highlights the potential of liquid metal-based magnetic microrobots for targeted drug delivery, image-guided therapy, and intelligent biomedical interventions.
逐年被引趋势
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
物理Micro and Nano Robotics
Soft Robotics and Applications · Nanoparticle-Based Drug Delivery
参考文献 47
此处列出前 3 条
引用本文 5
按被引量排序,此处列出前 3 条