Fluid-Structure Interaction and Scaling Laws for Deterministic Encapsulation of Hyperelastic Cells in Microfluidic Droplets
Andi Liu, Guohui Hu

TL;DR
This paper develops a numerical framework to understand and predict the encapsulation of hyperelastic cells in microfluidic droplets, revealing how cell properties influence flow regimes and encapsulation efficiency.
Contribution
It introduces a coupled phase-field and ALE method to model fluid-structure interactions and proposes a scaling law for deterministic cell encapsulation in microchannels.
Findings
A unified dimensionless scaling law predicts encapsulation windows.
Cell presence shifts droplet generation regimes via a geometric blockage effect.
Droplet periodicity is robust, but internal cell stress is highly sensitive.
Abstract
The precise encapsulation of deformable particles in multiphase flows involves complex transient Fluid-Structure Interactions (FSI) and topological interfacial changes. In the context of single-cell analysis, a numerical framework that couples the Cahn-Hilliard phase-field model with the Arbitrary Lagrangian-Eulerian (ALE) method is employed to investigate the dynamics of deformable cell encapsulation in flow-focusing microchannels. By resolving the coupling between the hyperelastic cell, carrier fluid, and evolving interface, we propose a unified dimensionless scaling law to predict the operational spatial window for the deterministic encapsulation quantitatively. Furthermore, the physical presence of cells modulates the droplet generation flow regime via a "geometric blockage effect", shifting the transition boundary from the squeezing to the dripping regime toward lower flow-rate…
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Taxonomy
TopicsInnovative Microfluidic and Catalytic Techniques Innovation · 3D Printing in Biomedical Research · Lattice Boltzmann Simulation Studies
