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Deterministic droplet-based co-encapsulation and pairing of microparticles via active sorting and downstream merging

机译:基于确定的液滴基通过主动分选和下游合并进行微粒的共封装和配对

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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.
机译:微流体液滴中的两个不同颗粒的共同封装提供了实现各种高通量单细胞测定的方法,例如小分离体积的生物化学反应和细胞 - 细胞相互作用。然而,受泊松统计的限制,即使在最佳条件下,常规融流方法的共封装率也很低。只有13.5%的液滴精确地含有一对不同的颗粒,而其余部分是空的或封装未配对的颗粒变得浪费。因此,低共同封装效率使涉及低丰富生物颗粒的生物应用中基于液滴的测定。在本文中,我们提出了一个高度有前途的液滴合并策略,以提高共同封装效率。我们的方法首先通过荧光或散射光激活分选富集液滴精确地封装单个粒子。然后,两个具有不同颗粒的液滴,精确地是一对一的配对并合并在微孔装置中。这种确定性方法克服了常规随机方法面临的泊松统计限制,产量高达90%的分类后颗粒捕获率和总共88.1%的共封装率。凭借其优越的单粒子配对性能,我们的系统提供了有希望的技术平台,以实现高效的Microdroplet测定。

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