Sensitive and predictable separation of microfluidic droplets by size using in-line passive filter

使用在线无源过滤器按尺寸灵敏且可预测地分离微流体液滴

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作者:Ruihua Ding, W Lloyd Ung, John A Heyman, David A Weitz

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.

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