Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48105, USA.
Lab Chip. 2017 Oct 25;17(21):3664-3671. doi: 10.1039/c7lc00745k.
Co-encapsulation of two distinct particles within microfluidic droplets provides the means to achieve various high-throughput single-cell assays, such as biochemical reactions and cell-cell interactions in small isolated volumes. However, limited by the Poisson statistics, the co-encapsulation rate of the conventional co-flow approach is low even under optimal conditions. Only up to 13.5% of droplets precisely contain a pair of two distinct particles, while the rest, either being empty or encapsulating unpaired particles become wastes. Thus, the low co-encapsulation efficiency makes droplet-based assays impractical in biological applications involving low abundant bioparticles. In this paper, we present a highly promising droplet merging strategy to increase the co-encapsulation efficiency. Our method first enriches droplets exactly encapsulating a single particle via fluorescence or scattering-light activated sorting. Then, two droplets, each with a distinct particle, are precisely one-to-one paired and merged in a novel microwell device. This deterministic approach overcomes the Poisson statistics limitation facing conventional stochastic methods, yielding an up to 90% post-sorting particle capture rate and an overall 88.1% co-encapsulation rate. With its superior single-particle pairing performance, our system provides a promising technological platform to enable highly efficient microdroplet assays.
在微流控液滴中共同封装两种不同的颗粒为实现各种高通量单细胞分析提供了手段,例如在小体积中进行生化反应和细胞间相互作用。然而,受泊松统计的限制,即使在最佳条件下,传统共流方法的共封装率也很低。只有多达 13.5%的液滴精确地包含一对两个不同的颗粒,而其余的液滴要么为空,要么封装了不成对的颗粒,成为废物。因此,低共封装效率使得基于液滴的分析在涉及低丰度生物颗粒的生物应用中不切实际。在本文中,我们提出了一种很有前途的液滴融合策略来提高共封装效率。我们的方法首先通过荧光或散射光激活分选来富集精确封装单个颗粒的液滴。然后,两个各有一个不同颗粒的液滴在新颖的微井装置中精确地一对一配对并融合。这种确定性方法克服了传统随机方法面临的泊松统计限制,实现了高达 90%的分选后颗粒捕获率和 88.1%的总体共封装率。由于其出色的单颗粒配对性能,我们的系统为实现高效的微滴分析提供了一个很有前途的技术平台。