共 43 条
Active generation and magnetic actuation of microrobotic swarms in bio-fluids
被引:264
作者:
Yu, Jiangfan
[1
]
Jin, Dongdong
[2
]
Chan, Kai-Fung
[2
]
Wang, Qianqian
[1
]
Yuan, Ke
[2
]
Zhang, Li
[1
,2
,3
,4
,5
]
机构:
[1] Chinese Univ Hong Kong, Dept Mech & Automat Engn, Shatin, Hong Kong, Peoples R China
[2] Chinese Univ Hong Kong, Dept Biomed Engn, Shatin, Hong Kong, Peoples R China
[3] Chinese Univ Hong Kong, Chow Yuk Ho Technol Ctr Innovat Med, Shatin, Hong Kong, Peoples R China
[4] Chinese Univ Hong Kong, T Stone Robot Inst, Shatin, Hong Kong, Peoples R China
[5] Chinese Univ Hong Kong, Shenzhen Res Inst, Shenzhen, Guangdong, Peoples R China
关键词:
MOTION;
D O I:
10.1038/s41467-019-13576-6
中图分类号:
O [数理科学和化学];
P [天文学、地球科学];
Q [生物科学];
N [自然科学总论];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
In nature, various types of animals will form self-organised large-scale structures. Through designing wireless actuation methods, microrobots can emulate natural swarm behaviours, which have drawn extensive attention due to their great potential in biomedical applications. However, as the prerequisite for their in-vivo applications, whether microrobotic swarms can take effect in bio-fluids with complex components has yet to be fully investigated. In this work, we first categorise magnetic active swarms into three types, and individually investigate the generation and navigation behaviours of two types of the swarms in bio-fluids. The influences of viscosities, ionic strengths and mesh-like structures are studied. A strategy is then proposed to select the optimised swarms in different fluidic environments based on their physical properties, and the results are further validated in various bio-fluids. Moreover, we also realise the swarm generation and navigation in bovine eyeballs, which also validates the proposed prediction in the ex-vivo environment.
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页数:12
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