Evidence map›Paper›PMID 34940304›Full record

ArticleGels (Basel, Switzerland)2021

Modeling and Simulation of the Ion-Binding-Mediated Swelling Dynamics of Mucin-like Polyelectrolyte Gels.

Jian Du, Owen L Lewis, James P Keener, Aaron L Fogelson

Abstract read
In one paragraph

Article in Gels (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Deswelling Dynamics of Chemically-Active Polyelectrolyte Gels.Computational Science--ICCS ... : international conference ... : proceedings. ICCS · 2023
    Article
  3. Article
  4. Article
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

4 authors.

Jian DuDepartment of Mathematical Sciences, Florida Institute of Technology, Melbourne, FL 32901, USA.ORCID 0000-0001-7861-5636
Owen L LewisDepartment of Mathematics and Statistics, University of New Mexico, Albuquerque, NM 87106, USA.
James P KeenerDepartment of Mathematics and Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, USA.
Aaron L FogelsonDepartment of Mathematics and Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, USA.

Funding

Modeling gastric mucus layer physiologyR01GM131408 · NIGMS · UNIVERSITY OF UTAH · PI FOGELSON, AARON L · 2018 to 2021
$1.5M
NIGMS NIH HHS 1R01GM131408NIGMS NIH HHS R01 GM131408
6 · The paper itself

Abstract

Volume phase transitions in polyeletrolyte gels play important roles in many biophysical processes such as DNA packaging, nerve excitation, and cellular secretion. The swelling and deswelling of these charged polymer gels depend strongly on their ionic environment. In this paper, we present an extension to our previous two-fluid model for ion-binding-mediated gel swelling. The extended model eliminates the assumptions about the size similarity between the network and solvent particles, which makes it suitable for investigating of a large family of biologically relevant problems. The model treats the polyeletrolyte gel as a mixture of two materials, the network and the solvent. The dynamics of gel swelling is governed by the balance between the mechanical and chemical forces on each of these two materials. Simulations based on the model illustrate that the chemical forces are significantly influenced by the binding/unbinding reactions between the ions and the network, as well as the resulting distribution of charges within the gel. The dependence of the swelling rate on ionic bath concentrations is analyzed and this analysis highlights the importance of the electromigration of ions and the induced electric field in regulating gel swelling.

Indexed as

electrochemistrygel swellingmodelingsimulation

Identifiers

PMID34940304
PMCPMC8702155

What OpenQuestion holds

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Registered trials

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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.