4.5 Article

Programmable and Parallel Trapping of Submicron/Nanoscale Particles Using Acoustic Micro-Pillar Array Chip

期刊

ADVANCED MATERIALS INTERFACES
卷 8, 期 24, 页码 -

出版社

WILEY
DOI: 10.1002/admi.202101334

关键词

acoustofluidics; micro-pillar array; submicron particle trapping

资金

  1. National Science Foundation of China [62004139]
  2. 111 project [B07104]

向作者/读者索取更多资源

Acoustofluidics using a low-frequency acoustic field actuated micro-pillar array chip enables programmable and parallel trapping of nanoparticles efficiently. The chip has the ability to geometrically tune the trapping limit by altering pillar size, providing an alternative technique for submicron particle manipulation.
Acoustofluidics has emerged as a promising method for submicron particle manipulation. However, ultrahigh-frequency or focused sound waves are usually required to generate sufficient acoustic radiation force or localized streaming vortex for trapping nanoscale objects, which is more challenging in device fabrication. This work presents a novel method using a low-frequency acoustic field actuated micro-pillar array (APA) chip to efficiently enable programmable and parallel trapping of nanoparticles. Driven by the acoustic waves, each arrayed vibrating micropillar generates a highly localized acoustic field with enhanced acoustic radiation forces and well-confined vortex streaming around the pillar. The APA chip is demonstrated with geometric tuning ability of regulating the trapping limit by altering the pillar size. Micropillar arrays with a diameter of 5 mu m are demonstrated to trap 112 nm particles efficiently. Thanks to the convenience of using ultrasounds and arraying micropillars of different geometric sizes, the APA chip provides an alternative of submicron particle manipulation technique for programmable and high-throughput trapping and patterning of particles, with potential for lab-on-a-chip sample preparations.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据