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An Interface–Particle Interaction Approach for Evaluation of the Co-Encapsulation Efficiency of Cells in a Flow-Focusing Droplet Generator

机译:一种界面粒子相互作用方法用于评估流动聚焦液滴发生器中电池的共封装效率

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摘要

Droplet-based microfluidics offers significant advantages, such as high throughput and scalability, making platforms based on this technology ideal candidates for point-of-care (POC) testing and clinical diagnosis. However, the efficiency of co-encapsulation in droplets is suboptimal, limiting the applicability of such platforms for the biosensing applications. The homogeneity of the bioanalytes in the droplets is an unsolved problem. While there is extensive literature on the experimental setups and active methods used to increase the efficiency of such platforms, passive techniques have received less attention, and their fundamentals have not been fully explored. Here, we develop a novel passive technique for investigating cell encapsulation using the finite element method (FEM). The level set method was used to track the interfaces of forming droplets. The effects of walls and the droplet interfaces on relatively large cells were calculated to track them more accurately during encapsulation. The static surface tension force was used to account for the effects of the interfaces on cells. The results revealed that the pairing efficiency is highly sensitive to the standard deviation (SD) of the distance between the cells in the entrance channel. The pairing efficiency prediction error of our model differed by less than 5% from previous experiments. The proposed model can be used to evaluate the performance of droplet-based microfluidic devices to ensure higher precision for co-encapsulation of cells.
机译:基于液滴的微流体提供了显着的优势,例如高吞吐量和可扩展性,基于该技术的平台进行平台,理想的候选人进行护理点(POC)测试和临床诊断。然而,液滴中的共同封装的效率是次优的,限制了这种平台用于生物传感应用的适用性。液滴中生物分析的均匀性是一个未解决的问题。虽然有广泛的文献在实验设置和用于提高这种平台效率的积极方法的情况下,被动技术受到不太关注,并且他们的基本面尚未完全探索。在这里,我们使用有限元方法(FEM)制定一种用于研究细胞封装的新型被动技术。使用级别设置方法来跟踪形成液滴的接口。计算壁和液滴接口对相对大的电池的影响,以在封装期间更准确地跟踪它们。静态表面张力用于考虑界面对细胞的影响。结果表明,配对效率对入口通道中的单元之间的距离的标准偏差(SD)非常敏感。我们模型的配对效率预测误差与先前实验的不同程度不同。所提出的模型可用于评估基于液滴的微流体装置的性能,以确保细胞共封装的更高精度。

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