Novel Operation Mechanism and Multifunctional Applications of Bubble Microrobots.

bubble microrobot glioblastoma (GBM) microenvironment manipulation microstructure

Journal

Advanced healthcare materials
ISSN: 2192-2659
Titre abrégé: Adv Healthc Mater
Pays: Germany
ID NLM: 101581613

Informations de publication

Date de publication:
17 Jan 2024
Historique:
received: 27 11 2023
medline: 17 1 2024
pubmed: 17 1 2024
entrez: 17 1 2024
Statut: aheadofprint

Résumé

Microrobots have emerged as powerful tools for manipulating particles, cells, and assembling biological tissue structures at the microscale. However, achieving precise and flexible operation of arbitrary-shaped microstructures in three-dimensional (3D) space remains a challenge. In this study, we propose three novel operation methods based on bubble microrobots to enable delicate and multifunctional manipulation of various microstructures. These methods include 3D turnover, fixed-point rotation, and 3D ejection. By harnessing the combined principles of the effect of the heat flow field and surface tension of an optothermally generated bubble, the bubble microrobot can perform tasks such as flipping an SIA humanoid structure, rotating a bird-like structure, and launching a hollow rocket-like structure. The proposed multi-mode operation of bubble microrobots enables diverse attitude adjustments of microstructures with different sizes and shapes in both two and three-dimensional spaces. As a demonstration, a biological microenvironment of brain glioblastoma (GBM) is constructed by the bubble microrobot. The simplicity, versatility, and flexibility of our proposed method hold great promise for applications in micromanipulation, assembly, and tissue engineering. This article is protected by copyright. All rights reserved.

Identifiants

pubmed: 38230855
doi: 10.1002/adhm.202303767
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2303767

Informations de copyright

This article is protected by copyright. All rights reserved.

Auteurs

Yuting Zhou (Y)

State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China.
Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, 110016, China.
University of Chinese Academy of Sciences, Beijing, 100049, China.

Wen Cheng (W)

Shengjing Hospital of China Medical University Shenyang, Beijing, 110022, China.

Liguo Dai (L)

Henan Provincial Key Laboratory of Intelligent Manufacturing of Mechanical Equipment, Zhengzhou University of Light Industry, Zhengzhou, 450002, China.

Songyi Guo (S)

Shengjing Hospital of China Medical University Shenyang, Beijing, 110022, China.

Junfeng Wu (J)

State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China.
Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, 110016, China.
University of Chinese Academy of Sciences, Beijing, 100049, China.

Xiaodong Wang (X)

State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China.
Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, 110016, China.
University of Chinese Academy of Sciences, Beijing, 100049, China.

Anhua Wu (A)

Shengjing Hospital of China Medical University Shenyang, Beijing, 110022, China.

Lianqing Liu (L)

State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China.
Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, 110016, China.

Niandong Jiao (N)

State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China.
Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, 110016, China.

Classifications MeSH