微流控
分类
工作流程
可扩展性
计算机科学
纳米技术
数字微流体
过程(计算)
表征(材料科学)
吞吐量
工艺工程
材料科学
工程类
光电子学
电润湿
电介质
操作系统
数据库
电信
程序设计语言
无线
作者
Yukun He,Yi Qiao,Lu Ding,Tianguang Cheng,Jing Tu
出处
期刊:Biomicrofluidics
[American Institute of Physics]
日期:2023-11-13
卷期号:17 (6)
摘要
Droplet microfluidics is an attractive technology to run parallel experiments with high throughput and scalability while maintaining the heterogeneous features of individual samples or reactions. Droplet sorting is utilized to collect the desired droplets based on droplet characterization and in-droplet content evaluation. A proper monitoring method is critical in this process, which governs the accuracy and maximum frequency of droplet handling. Until now, numerous monitoring methods have been integrated in the microfluidic devices for identifying droplets, such as optical spectroscopy, mass spectroscopy, electrochemical monitoring, and nuclear magnetic resonance spectroscopy. In this review, we summarize the features of various monitoring methods integrated into droplet sorting workflow and discuss their suitable condition and potential obstacles in use. We aim to provide a systematic introduction and an application guide for choosing and building a droplet monitoring platform.
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