Ye Wen-Qi, Zhang Wei, Xu Zhang-Run
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China.
Research Center for Analytical Sciences, Northeastern University, Shenyang 110819, China.
Biomicrofluidics. 2024 Apr 1;18(2):021301. doi: 10.1063/5.0188227. eCollection 2024 Mar.
Fluid manipulation is an important foundation of microfluidic technology. Various methods and devices have been developed for fluid control, such as electrowetting-on-dielectric-based digital microfluidic platforms, microfluidic pumps, and pneumatic valves. These devices enable precise manipulation of small volumes of fluids. However, their complexity and high cost limit the commercialization and widespread adoption of microfluidic technology. Shape memory polymers as smart materials can adjust their shape in response to external stimuli. By integrating shape memory polymers into microfluidic chips, new possibilities for expanding the application areas of microfluidic technology emerge. These shape memory polymers can serve as actuators or regulators to drive or control fluid flow in microfluidic systems, offering innovative approaches for fluid manipulation. Due to their unique properties, shape memory polymers provide a new solution for the construction of intelligent and automated microfluidic systems. Shape memory microfluidic chips are expected to be one of the future directions in the development of microfluidic technology. This article offers a summary of recent research achievements in the field of shape memory microfluidic chips for fluid and droplet manipulation and provides insights into the future development direction of shape memory microfluidic devices.
流体操控是微流控技术的重要基础。人们已经开发出了各种用于流体控制的方法和装置,比如基于介电电泳的数字微流控平台、微流控泵和气动阀。这些装置能够精确操控小体积的流体。然而,它们的复杂性和高成本限制了微流控技术的商业化和广泛应用。形状记忆聚合物作为智能材料能够响应外部刺激来调整自身形状。通过将形状记忆聚合物集成到微流控芯片中,微流控技术的应用领域得以拓展,出现了新的可能性。这些形状记忆聚合物可以用作驱动器或调节器,以驱动或控制微流控系统中的流体流动,为流体操控提供了创新方法。由于其独特的性能,形状记忆聚合物为构建智能和自动化微流控系统提供了新的解决方案。形状记忆微流控芯片有望成为微流控技术未来的发展方向之一。本文总结了形状记忆微流控芯片在流体和液滴操控领域的近期研究成果,并对形状记忆微流控装置的未来发展方向进行了探讨。