Ning Jia, Lei Yulin, Hu Hong, Gai Chenhui
School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen 518055, China.
Micromachines (Basel). 2023 Jul 31;14(8):1543. doi: 10.3390/mi14081543.
This review focuses on the development of surface acoustic wave-enabled acoustic drop ejection (SAW-ADE) technology, which utilizes surface acoustic waves to eject droplets from liquids without touching the sample. The technology offers advantages such as high throughput, high precision, non-contact, and integration with automated systems while saving samples and reagents. The article first provides an overview of the SAW-ADE technology, including its basic theory, simulation verification, and comparison with other types of acoustic drop ejection technology. The influencing factors of SAW-ADE technology are classified into four categories: fluid properties, device configuration, presence of channels or chambers, and driving signals. The influencing factors discussed in detail from various aspects, such as the volume, viscosity, and surface tension of the liquid; the type of substrate material, interdigital transducers, and the driving waveform; sessile droplets and fluid in channels/chambers; and the power, frequency, and modulation of the input signal. The ejection performance of droplets is influenced by various factors, and their optimization can be achieved by taking into account all of the above factors and designing appropriate configurations. Additionally, the article briefly introduces the application scenarios of SAW-ADE technology in bioprinters and chemical analyses and provides prospects for future development. The article contributes to the field of microfluidics and lab-on-a-chip technology and may help researchers to design and optimize SAW-ADE systems for specific applications.
本综述聚焦于基于表面声波的声学液滴喷射(SAW-ADE)技术的发展,该技术利用表面声波从液体中喷射液滴而无需接触样品。该技术具有高通量、高精度、非接触以及可与自动化系统集成等优点,同时还能节省样品和试剂。文章首先概述了SAW-ADE技术,包括其基本理论、模拟验证以及与其他类型声学液滴喷射技术的比较。SAW-ADE技术的影响因素分为四类:流体特性、器件配置、通道或腔室的存在以及驱动信号。从各个方面详细讨论了影响因素,如液体的体积、粘度和表面张力;基底材料、叉指换能器的类型以及驱动波形;静态液滴以及通道/腔室内的流体;以及输入信号的功率、频率和调制。液滴的喷射性能受多种因素影响,通过综合考虑上述所有因素并设计合适的配置可以实现对其的优化。此外,文章简要介绍了SAW-ADE技术在生物打印机和化学分析中的应用场景,并提供了未来发展前景。本文对微流体和芯片实验室技术领域做出了贡献,可能有助于研究人员为特定应用设计和优化SAW-ADE系统。