Suppr超能文献

设计具有多通道网络的微流控芯片过滤技术用于细胞颗粒的高效分选

Designing Microfluidic-Chip Filtration with Multiple Channel Networks for the Highly Efficient Sorting of Cell Particles.

作者信息

Chun Myung-Suk

机构信息

Complex Fluids Laboratory, Advanced Materials and Systems Research Division, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea.

Biomedical Engineering Division, KIST School, University of Science and Technology, Seoul 02792, Republic of Korea.

出版信息

Micromachines (Basel). 2024 Dec 5;15(12):1474. doi: 10.3390/mi15121474.

Abstract

Microfluidic-chip based hydrodynamic filtration is one of the passive sorting techniques that can separate cell or particle suspensions into subpopulations of different sizes. As the branch channels and side channels play an important role in maintaining particle focusing, their rational design is necessary for highly efficient sorting. A model framework involving multiple side and multiple branch channels has been developed by extending the analytical analysis of three-dimensional laminar flow in channel networks, which was previously validated by comparison with numerical simulations. Objective parameters were identified as the number of branch channels and each length of individual branches. The presence of multiple side channels causes an increase in the average fluid velocity in main and branch channels as the branch point shifts toward the end of the main channel, which differs from the behavior observed in a single side channel. The number of branches and their individual lengths decrease distinctly in the case of branch channels consisting of narrow and wide sections, which enables the compact design of a microfluidic-chip, being operated by a lower pressure drop under the same throughput. Sorting of bidisperse particles was accomplished with an optimally designed chip to verify this framework by achieving very high recovery and purity.

摘要

基于微流控芯片的流体动力过滤是一种被动分选技术,可将细胞或颗粒悬浮液分离成不同大小的亚群。由于分支通道和侧通道在维持颗粒聚焦方面起着重要作用,因此合理设计它们对于高效分选至关重要。通过扩展对通道网络中三维层流的分析,开发了一个包含多个侧通道和多个分支通道的模型框架,该框架先前已通过与数值模拟的比较得到验证。目标参数被确定为分支通道的数量和各个分支的长度。多个侧通道的存在会导致主通道和分支通道中的平均流体速度增加,因为分支点向主通道末端移动,这与在单个侧通道中观察到的行为不同。在由窄段和宽段组成的分支通道的情况下,分支数量及其各自的长度明显减少,这使得微流控芯片能够紧凑设计,在相同通量下以较低的压降运行。使用优化设计的芯片完成了双分散颗粒的分选,以通过实现非常高的回收率和纯度来验证该框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9394/11727769/b431ef822aaf/micromachines-15-01474-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验