journal article·2023-06

Microfluidic Approaches for Microactuators: From Fabrication, Actuation, to Functionalization

Zhuo‐Chen Ma, Jiahao Fan, Hesheng Wang, Weidong Chen, Guang‐Zhong Yang, Bing Han

Small· Volume 19· Issue 22
Publisher page

Abstract

Abstract Microactuators can autonomously convert external energy into specific mechanical motions. With the feature sizes varying from the micrometer to millimeter scale, microactuators offer many operation and control possibilities for miniaturized devices. In recent years, advanced microfluidic techniques have revolutionized the fabrication, actuation, and functionalization of microactuators. Microfluidics can not only facilitate fabrication with continuously changing materials but also deliver various signals to stimulate the microactuators as desired, and consequently improve microfluidic chips with multiple functions. Herein, this cross‐field that systematically correlates microactuator properties and microfluidic functions is comprehensively reviewed. The fabrication strategies are classified into two types according to the flow state of the microfluids: stop‐flow and continuous‐flow prototyping. The working mechanism of microactuators in microfluidic chips is discussed in detail. Finally, the applications of microactuator‐enriched functional chips, which include tunable imaging devices, micromanipulation tools, micromotors, and microsensors, are summarized. The existing challenges and future perspectives are also discussed. It is believed that with the rapid progress of this cutting‐edge field, intelligent microsystems may realize high‐throughput manipulation, characterization, and analysis of tiny objects and find broad applications in various fields, such as tissue engineering, micro/nanorobotics, and analytical devices.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Micro and Nano Robotics · Advanced Sensor and Energy Harvesting Materials · Advanced Materials and Mechanics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Automation Shanghai Jiao Tong University Shanghai 200240 China

Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China

Shanghai Engineering Research Center of Intelligent Control and Management Shanghai 200240 China

Institute of Medical Robotics School of Biomedical Engineering Shanghai Jiao Tong University No. 800 Dongchuan Road Shanghai 200240 China

Funding

National Natural Science Foundation of China · Natural Science Foundation of Shanghai

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