Department of Chemical Engineering, Texas Tech University, Lubbock, Texas 79409, USA.
Biomicrofluidics. 2010 Dec 6;4(4):44110. doi: 10.1063/1.3523053.
The behavior of a droplet train in a microfluidic network with hydrodynamic traps in which the hydrodynamic resistive properties of the network are varied is investigated. The flow resistance of the network and the individual droplets guide the movement of droplets in the network. In general, the flow behavior transitions from the droplets being immobilized in the hydrodynamic traps at low flow rates to breaking up and squeezing of the droplets at higher flow rates. A state diagram characterizing these dynamics is presented. A simple hydrodynamic circuit model that treats droplets as fluidic resistors is discussed, which predicts the experimentally observed flow rates for droplet trapping in the network. This study should enable the rational design of microfuidic devices for passive storage of nanoliter-scale drops.
研究了在具有流体动力陷阱的微流控网络中液滴链的行为，其中网络的流体动力阻力特性发生了变化。网络的流动阻力和单个液滴引导液滴在网络中的运动。一般来说，流动行为从低流速下液滴在流体动力陷阱中固定不动转变为更高流速下液滴的破裂和挤压。呈现了一个表征这些动力学的状态图。讨论了一种将液滴视为流体电阻器的简单流体动力学电路模型，该模型预测了实验观察到的网络中液滴捕获的流速。这项研究应该能够为纳米升规模液滴的被动存储设计合理的微流控设备。
