使用在线无源滤波器按尺寸对微流体液滴进行灵敏且可预测的分离。
Sensitive and predictable separation of microfluidic droplets by size using in-line passive filter.
作者信息
Ding Ruihua, Ung W Lloyd, Heyman John A, Weitz David A
机构信息
Department of Chemistry and Chemical Biology, Harvard University , Cambridge, Massachusetts 02138, USA.
John A. Paulson School of Engineering and Applied Sciences, Harvard University , Cambridge, Massachusetts 02138, USA.
出版信息
Biomicrofluidics. 2017 Feb 21;11(1):014114. doi: 10.1063/1.4976723. eCollection 2017 Jan.
Abstract
Active manipulation of droplets is crucial in droplet microfluidics. However, droplet polydispersity decreases the accuracy of active manipulation. We develop a microfluidic "droplet filter" that accurately separates droplets by size. The droplet filter has a sharp size cutoff and is capable of distinguishing droplets differing in volume by 20%. A simple model explains the behavior of the droplets as they pass through the filter. We show application of the filter in improving dielectric sorting efficiency.
摘要
在液滴微流控中，对液滴进行主动操控至关重要。然而，液滴的多分散性会降低主动操控的准确性。我们开发了一种微流控“液滴过滤器”，它能够按尺寸精确分离液滴。该液滴过滤器具有尖锐的尺寸截止点，能够区分体积相差20%的液滴。一个简单的模型解释了液滴通过过滤器时的行为。我们展示了该过滤器在提高介电分选效率方面的应用。
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