Department of Chemical and Materials Engineering, New Mexico State University, Las Cruces, New Mexico, USA.
School of Chemical, Biological, and Materials Engineering, The University of Oklahoma, Norman, Oklahoma, USA.
Cytometry A. 2023 Oct;103(10):786-795. doi: 10.1002/cyto.a.24772. Epub 2023 Jun 23.
High throughput and efficient separation/isolation of nanoparticles such as exosomes remain a challenge owing to their small size. Elasto-inertial approaches have a new potential to be leveraged because of the ability to achieve fine control over the forces that act on extremely small particles. That is, the viscoelasticity of fluid that helps carry biological particles such as extracellular vesicles (EVs) and cells through microfluidic channels can be tailored to optimize how different-sized particles move within the chip. In this contribution, we demonstrate through computational fluid dynamics (CFD) simulations the ability to separate nanoparticles with a size comparable to exosomes from larger spheres with physical properties comparable to cells and larger EVs. Our current design makes use of an efficient flow-focusing geometry at the inlet of the device in which two side channels deliver the sample, while the inner channel injects the sheath flow. Such flow configuration results in an efficient focusing of all the particles near the sidewalls of the channel at the inlet. By dissolving a minute amount of polymer in the sample and sheath fluid, the elastic lift force arises and the initially focused particle adjacent to the wall will gradually migrate toward the center of the channel. This results in larger particles experiencing larger elastic forces, thereby migrating faster toward the center of the channel. By adjusting the size and location of the outlets, nanoparticles comparable to the size of exosomes (30-100 nm) will be effectively separated from other particles. Furthermore, the influence of different parameters such as channel geometry, flow rate, and fluid rheology on the separation process is evaluated by computational analysis.
由于纳米颗粒(如外泌体)体积小,因此实现高通量且高效的分离/提取仍然是一个挑战。弹性惯性方法具有新的潜力,因为其能够实现对作用于极小颗粒的力的精细控制。也就是说,可以调整有助于携带诸如细胞外囊泡(EVs)和细胞等生物颗粒的流体的粘弹性,从而优化芯片内不同大小颗粒的运动方式。在本研究中,我们通过计算流体动力学(CFD)模拟证明了能够从与细胞和较大 EV 物理性质相当的较大球体中分离出与外泌体大小相当的纳米颗粒。我们目前的设计在器件入口处使用了高效的流聚焦几何形状,其中两个侧通道输送样品,而内通道则注入鞘流。这种流动配置导致所有颗粒在入口处靠近通道侧壁处有效地聚焦。通过在样品和鞘液中溶解少量聚合物,会产生弹性举力,并且与壁相邻的初始聚焦颗粒将逐渐向通道中心迁移。这导致较大的颗粒经历较大的弹性力,从而更快地向通道中心迁移。通过调整出口的尺寸和位置,可以有效地将与外泌体(30-100nm)大小相当的纳米颗粒与其他颗粒分离。此外,还通过计算分析评估了通道几何形状、流速和流体流变学等不同参数对分离过程的影响。