Evidence map›Paper›PMID 38039270›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

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

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Physics-informed deep learning for stochastic particle dynamics estimation.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
  6. Lab on a Particle Technologies.Analytical chemistry · 2024
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Eric W HesterDepartment of Mathematics, University of California, Los Angeles 90095, CA.ORCID 0000-0003-1651-9141
Sean CarneyDepartment of Mathematics, University of California, Los Angeles 90095, CA.
Vishwesh ShahDepartment of Bioengineering, University of California, Los Angeles 90095, CA.
Alyssa ArnheimDepartment of Bioengineering, University of California, Los Angeles 90095, CA.
Bena PatelDepartment of Bioengineering, University of California, Los Angeles 90095, CA.
Dino Di CarloCalifornia NanoSystems Institute, University of California, Los Angeles 90095, CA.ORCID 0000-0003-3942-4284
Andrea L BertozziDepartment of Mathematics, University of California, Los Angeles 90095, CA.ORCID 0000-0003-0396-7391
California NanoSystems Institute · USUniversity of California, Los Angeles · US

Funding

Simons Foundation (SF) 510776
6 · The paper itself

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.

Indexed as

aqueous two-phase systemsfluid dynamicsliquid–liquid phase separation

Identifiers

PMID38039270
PMCPMC10710025
OpenAlexW4389235708

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.