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International Conference on Intelligent Robotics and Applications

ICIRA 2022: Intelligent Robotics and Applications pp 568–580Cite as

Bubble Based Micromanipulators in Microfluidics Systems: A Mini-review

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13456))

Abstract

Bubbles in liquid have the advantages of controllability, compressibility and biocompatibility, so they are introduced into microfluidic system to drive the fluid and operate micro-objects including cells. In recent years, the acoustic and optothermal bubbles are the two most widely used and efficient bubbles in microfluidic devices. Therefore, the aim of this study is to review recent advances in acoustic bubble-based micromanipulators and optothermal bubble-based micromanipulators in microfluidic systems. The principles and applications of fluid control and micro-object operation of these two kinds of bubble-based manipulators are introduced and the prospects and challenges are discussed.

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Acknowledgement

This work is supported by the National Natural Science Foundation of China (Grant Nos. 91748212, U1613220, 91848201), and the CAS/SAFEA International Partnership Program for Creative Research Teams.

Author information

Authors and Affiliations

  1. State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China

    Yuting Zhou, Niandong Jiao & Lianqing Liu

  2. Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, 110016, China

    Yuting Zhou, Niandong Jiao & Lianqing Liu

  3. University of Chinese Academy of Sciences, Beijing, 100049, China

    Yuting Zhou

  4. College of Mechanical and Electrical Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450002, China

    Liguo Dai

Authors
  1. Yuting Zhou
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  2. Liguo Dai
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  3. Niandong Jiao
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  4. Lianqing Liu
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Corresponding author

Correspondence to Niandong Jiao .

Editor information

Editors and Affiliations

  1. Harbin Institute of Technology, Shenzhen, China

    Honghai Liu

  2. Huazhong University of Science and Technology, Wuhan, China

    Zhouping Yin

  3. Shenyang Institute of Automation, Shenyang, Liaoning, China

    Lianqing Liu

  4. Harbin Institute of Technology, Harbin, China

    Li Jiang

  5. Shanghai Jiao Tong University, Shanghai, China

    Guoying Gu

  6. Shenzhen Institutes of Advanced Technology, Shenzhen, China

    Xinyu Wu

  7. Harbin Institute of Technology, Shenzhen, China

    Weihong Ren

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Zhou, Y., Dai, L., Jiao, N., Liu, L. (2022). Bubble Based Micromanipulators in Microfluidics Systems: A Mini-review. In: Liu, H., et al. Intelligent Robotics and Applications. ICIRA 2022. Lecture Notes in Computer Science(), vol 13456. Springer, Cham. https://doi.org/10.1007/978-3-031-13822-5_51

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  • DOI: https://doi.org/10.1007/978-3-031-13822-5_51

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-13821-8

  • Online ISBN: 978-3-031-13822-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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