Precise monodisperse droplet generation by pressure-driven microfluidic flows

被引:14
|
作者
Zeng, Wen [1 ]
Yang, Shun [1 ]
Liu, Yichao [2 ]
Yang, Tianhang [1 ]
Tong, Zhizhong [1 ]
Shan, Xiaobiao [3 ]
Fu, Hai [1 ]
机构
[1] Harbin Inst Technol, Dept Fluid Control & Automat, Harbin 150001, Peoples R China
[2] Harbin Inst Technol, Harbin 150001, Peoples R China
[3] Harbin Inst Technol, State Key Lab Robot & Syst, Harbin 150001, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Droplet; Size; Pressure-driven flows; Closed-loop control; Accuracy; T-JUNCTION; BUBBLES;
D O I
10.1016/j.ces.2021.117206
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
In a T-junction microdroplet generator, as monodisperse droplets are formed for the droplet digital polymerase chain reaction (PCR), a mathematical model which can describe the nonlinear relation of droplet generation under pressure-driven microfluidic flows is established. For various viscosity of the fluids, the relation between the droplet length and the driving-pressure ratio is measured at a low capillary number (Ca < 0.01) of droplet generation. It can be observed that the droplet length varies nonlinearly with the driving-pressure ratio for a specific geometry of the T-junction. In particular, the relation between the droplet length and the driving-pressure ratio is tested experimentally for different geometries of the T-junctions. At low capillary numbers, the nonlinear relation between the droplet length and the driving-pressure ratio is basically determined by the geometrical parameters of the T-junction. Most importantly, a closed-loop control droplet microfluidic system is demonstrated, and the size of the droplets can be controlled more accurately by pressure-driven flows. The control precision of the droplet size is quantitatively studied for a wide range of typical conditions of droplet generation. In particular, the relative standard deviation of the droplet size for various flow conditions is less than 2%, which is of great importance for improving the detection accuracy of nucleic acid based on the droplet digital PCR. (c) 2021 Elsevier Ltd. All rights reserved.
引用
收藏
页数:8
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