Gu Yuyang, Chen Chuyi, Mao Zhangming, Bachman Hunter, Becker Ryan, Rufo Joseph, Wang Zeyu, Zhang Peiran, Mai John, Yang Shujie, Zhang Jinxin, Zhao Shuaiguo, Ouyang Yingshi, Wong David T W, Sadovsky Yoel, Huang Tony Jun
Department of Mechanical Engineering and Materials Science, Duke University, NC 27708, USA.
Department of Engineering Science and Mechanics, Pennsylvania State University, University Park, PA 16801, USA.
Sci Adv. 2021 Jan 1;7(1). doi: 10.1126/sciadv.abc0467. Print 2021 Jan.
Liquid droplets have been studied for decades and have recently experienced renewed attention as a simplified model for numerous fascinating physical phenomena occurring on size scales from the cell nucleus to stellar black holes. Here, we present an acoustofluidic centrifugation technique that leverages an entanglement of acoustic wave actuation and the spin of a fluidic droplet to enable nanoparticle enrichment and separation. By combining acoustic streaming and droplet spinning, rapid (<1 min) nanoparticle concentration and size-based separation are achieved with a resolution sufficient to identify and isolate exosome subpopulations. The underlying physical mechanisms have been characterized both numerically and experimentally, and the ability to process biological samples (including DNA segments and exosome subpopulations) has been successfully demonstrated. Together, this acoustofluidic centrifuge overcomes existing limitations in the manipulation of nanoscale (<100 nm) bioparticles and can be valuable for various applications in the fields of biology, chemistry, engineering, material science, and medicine.
几十年来,人们一直在研究液滴,最近,作为一种简化模型,液滴重新受到关注,它可用于研究从细胞核到恒星黑洞等大小尺度上发生的众多迷人的物理现象。在此,我们展示了一种声流控离心技术,该技术利用声波驱动与流体液滴自旋的纠缠来实现纳米颗粒的富集和分离。通过结合声流和液滴旋转,可在不到1分钟的时间内实现快速的纳米颗粒浓缩和基于尺寸的分离,其分辨率足以识别和分离外泌体亚群。已经通过数值模拟和实验对其潜在的物理机制进行了表征,并成功证明了处理生物样品(包括DNA片段和外泌体亚群)的能力。总之,这种声流控离心机克服了在纳米级(<100 nm)生物颗粒操作方面的现有局限性,对于生物学、化学、工程、材料科学和医学等领域的各种应用可能具有重要价值。