Water‐Stable Magnetic Lipiodol Micro‐Droplets as a Miniaturized Robotic Tool for Drug Delivery
Magnetic microrobots, designed to navigate the complex environments of the human body, show promise for minimally invasive diagnosis and treatment. However, their clinical adoption faces hurdles such as biocompatibility, precise control, and intelligent tracking. Here a novel formulation (referred to water-stable magnetic lipiodol micro-droplets, MLMD), integrating clinically approved lipiodol, gelatin, and superparamagnetic iron oxide nanoparticles (SPION) with a fundamental understanding of the structure-property relationships is presented. This formulation demonstrates multiple improved properties including flowability, shape adaptability, efficient drug loading, and compatibility with digital subtraction angiography (DSA) imaging in both in vitro and in vivo experiments. This enables the MLMD as a versatile tool for image-guided therapy, supported by a close-looped magnetic navigation system featuring artificial intelligence (AI)-driven visual feedback for autonomous control. The system effectively performs navigational tasks, including pinpointing specific locations of MLMD, recognizing and avoiding obstacles, mapping and following predetermined paths, and utilizing magnetic fields for precise motion planning to achieve visual drug delivery. The MLMD combines magnetic actuation with an AI-directed close-looped navigation, offering a transformative platform for targeted therapeutic delivery.
Authors
- Qixuan Dai
- Xiaohui Yan (ORCID: https://orcid.org/0000-0001-6089-0664)
- Yang Zhao (ORCID: https://orcid.org/0000-0002-6386-2586)
- Tao Sheng (ORCID: https://orcid.org/0000-0001-9331-2326)
- Qian Zhang
- Hu Chen (ORCID: https://orcid.org/0009-0003-5600-5935)
- Shiyao Pang
- Jing Hu (ORCID: https://orcid.org/0000-0003-0255-2418)
- Zhen Gu
- Hongwei Cheng (ORCID: https://orcid.org/0000-0002-4251-0645)
- Ziyang Mei (ORCID: https://orcid.org/0000-0002-5487-661X)
- Xing Gao (ORCID: https://orcid.org/0000-0001-8893-2416)
- En Ren (ORCID: https://orcid.org/0000-0002-4976-5050)
- Lin Lin (ORCID: https://orcid.org/0000-0003-1959-8113)
- Hongjun Li (ORCID: https://orcid.org/0000-0002-1765-8445)
- Yang Zhang (ORCID: https://orcid.org/0000-0002-3476-8937)
- Gang Liu (ORCID: https://orcid.org/0000-0003-2613-7286)
- Junqing Wang (ORCID: https://orcid.org/0000-0002-9091-9891)
- Hui Liu (ORCID: https://orcid.org/0000-0003-1653-5774)
- Pan He (ORCID: https://orcid.org/0000-0003-0458-5950)
- Tiantian Xu (ORCID: https://orcid.org/0000-0002-9175-3264)
Institutions
- Sun Yat-sen University (CN)
- Xiamen University (CN)
- Chinese Academy of Sciences (CN)
- Shenzhen Institutes of Advanced Technology (CN)
- Xiamen University of Technology (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Advanced Materials
- Published
- 2024-11-13
- DOI
- https://doi.org/10.1002/adma.202412187
- Citations
- 17
- Primary Topic
- Micro and Nano Robotics
- Type
- article
- Field-Weighted Citation Impact
- 5.28
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation
- Major State Basic Research Development Program of China