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微流控中的液滴检测与分选系统综述

Droplet Detection and Sorting System in Microfluidics: A Review.

作者信息

Huang Can, Jiang Yuqian, Li Yuwen, Zhang Han

机构信息

Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77842, USA.

State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, China.

出版信息

Micromachines (Basel). 2022 Dec 30;14(1):103. doi: 10.3390/mi14010103.

Abstract

Since being invented, droplet microfluidic technologies have been proven to be perfect tools for high-throughput chemical and biological functional screening applications, and they have been heavily studied and improved through the past two decades. Each droplet can be used as one single bioreactor to compartmentalize a big material or biological population, so millions of droplets can be individually screened based on demand, while the sorting function could extract the droplets of interest to a separate pool from the main droplet library. In this paper, we reviewed droplet detection and active sorting methods that are currently still being widely used for high-through screening applications in microfluidic systems, including the latest updates regarding each technology. We analyze and summarize the merits and drawbacks of each presented technology and conclude, with our perspectives, on future direction of development.

摘要

自发明以来,液滴微流控技术已被证明是用于高通量化学和生物功能筛选应用的完美工具,并且在过去二十年中得到了深入研究和改进。每个液滴都可以用作一个单独的生物反应器,将大量物质或生物群体分隔开来,因此可以根据需求对数百万个液滴进行单独筛选,而分选功能可以将感兴趣的液滴从主液滴库中提取到一个单独的池中。在本文中,我们回顾了目前仍广泛用于微流控系统高通量筛选应用的液滴检测和主动分选方法,包括每种技术的最新进展。我们分析并总结了每种所介绍技术的优缺点,并从我们的角度对未来的发展方向进行了总结。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c88d/9867185/a635448c15b8/micromachines-14-00103-g001.jpg

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