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声流操控微颗粒和细胞的地形学研究。

Topographical Manipulation of Microparticles and Cells with Acoustic Microstreaming.

机构信息

Department of Nanoengineering, University of California San Diego , La Jolla, California 92093, United States.

State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics , Nanjing 210016, China.

出版信息

ACS Appl Mater Interfaces. 2017 Nov 8;9(44):38870-38876. doi: 10.1021/acsami.7b15237. Epub 2017 Oct 24.

DOI:10.1021/acsami.7b15237
PMID:29028308
Abstract

Precise and reproducible manipulation of synthetic and biological microscale objects in complex environments is essential for many practical biochip and microfluidic applications. Here, we present an attractive acoustic topographical manipulation (ATM) method to achieve efficient and reproducible manipulation of diverse microscale objects. This new guidance method relies on the acoustically induced localized microstreaming forces generated around microstructures, which are capable of trapping nearby microobjects and manipulating them along a determined trajectory based on local topographic features. This unique phenomenon is investigated by numerical simulations examining the local microstreaming in the presence of microscale boundaries under the standing acoustic wave. This method can be used to manipulate a single microobject around a complex structure as well as collectively manipulate multiple objects moving synchronously along complicated shapes. Furthermore, the ATM can serve for automated maze solving by autonomously manipulating microparticles with diverse geometries and densities, including live cells, through complex maze-like topographical features without external feedback, particle modification, or adjustment of operational parameters.

摘要

在复杂环境中精确且可重复地操作合成和生物微尺度物体对于许多实际的生物芯片和微流控应用至关重要。在这里,我们提出了一种有吸引力的声形貌操作(ATM)方法,以实现对各种微尺度物体的高效且可重复的操作。这种新的引导方法依赖于在微结构周围产生的声诱导局部微流体力,该力能够捕获附近的微物体,并根据局部形貌特征沿着确定的轨迹对其进行操作。通过数值模拟研究了在驻声波存在下微尺度边界存在时的局部微流,从而研究了这种独特的现象。该方法可用于在复杂结构周围操作单个微物体,也可用于沿着复杂形状同步操作多个物体。此外,ATM 可以通过自主操作具有不同几何形状和密度的微颗粒(包括活细胞)来解决自动化迷宫问题,而无需外部反馈、颗粒修饰或操作参数调整。

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