Fluid dynamics alters liquid–liquid phase separation in confined aqueous two-phase systems

Eric W. Hester, Sean Carney, Vishwesh Shah, Alyssa Arnheim, Bena Patel, Dino Di Carlo, Andrea L. Bertozzi

Research output: Contribution to journalArticlepeer-review

3 Citations (SciVal)

Abstract

Liquid–liquid phase separation is key to understanding aqueous two-phase systems (ATPS) arising throughout cell biology, medical science, and the pharmaceutical industry. Controlling the detailed morphology of phase-separating compound droplets leads to new technologies for efficient single-cell analysis, targeted drug delivery, and effective cell scaffolds for wound healing. We present a computational model of liquid–liquid phase separation relevant to recent laboratory experiments with gelatin–polyethylene glycol mixtures. We include buoyancy and surface-tension-driven finite viscosity fluid dynamics with thermally induced phase separation. We show that the fluid dynamics greatly alters the evolution and equilibria of the phase separation problem. Notably, buoyancy plays a critical role in driving the ATPS to energy-minimizing crescent-shaped morphologies, and shear flows can generate a tenfold speedup in particle formation. Neglecting fluid dynamics produces incorrect minimum-energy droplet shapes. The model allows for optimization of current manufacturing procedures for structured microparticles and improves understanding of ATPS evolution in confined and flowing settings important in biology and biotechnology.
Original languageEnglish
Article numbere2306467120
JournalProceedings of the National Academy of Sciences
Volume120
Issue number49
Early online date1 Dec 2023
DOIs
Publication statusPublished - 5 Dec 2023

Data Availability Statement

All code used for data generation and analysis is available at https://github.com/ericwhester/multiphase-fluids-code (74). The simulation data is too large to host online, but will be made available upon request.

Acknowledgements

This work is supported by Simons Foundation Math + X Investigator Award No. 510776. We acknowledge computing resources on Hoffman2 provided through the Institute for Digital Research and Education at UCLA.

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