Evidence map›Paper›PMID 32864538›Full record

ArticlePhysical review fluids2018

Electrodeformation of Vesicles Suspended in a Liquid Medium.

Adnan Morshed, Prashanta Dutta, Mohammad Robiul Hossan, Robert Dillon

Abstract read
In one paragraph

Article in Physical review fluids, 2018. 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. Article
  3. Review
  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.

Adnan MorshedSchool of Mechanical and Materials Engineering Washington State University, Pullman, WA 99164.
Prashanta DuttaSchool of Mechanical and Materials Engineering Washington State University, Pullman, WA 99164.
Mohammad Robiul HossanDepartment of Engineering and Physics University of Central Oklahoma, Edmond, OK 73034.
Robert DillonDepartment of Mathematics and Statistics Washington State University, Pullman, WA 99164.

Funding

Multiscale Modeling of Transport though Blood Brain BarrierR01GM122081 · NIGMS · WASHINGTON STATE UNIVERSITY · PI DUTTA, PRASHANTA · 2016 to 2018
$763k
NIGMS NIH HHS R01 GM122081
6 · The paper itself

Abstract

Deformation of flexible vesicles suspended in a fluid medium due to an applied electric field can provide valuable insight into deformation dynamics at a very small scale. In an electric field, the response of the vesicle membrane is strongly influenced by the conductivity of surrounding fluid, vesicle size and shape, and the magnitude of applied field. We studied the electrodeformation of vesicles immersed in a fluid media under a DC electric field. An immersed interface method is used to solve the electric field over the domain with conductive or non-conductive vesicles while an immersed boundary method is employed to solve fluid flow, fluid-solid interaction, membrane mechanics and vesicle deformation. Initial force analysis on the membrane surface reveals almost linear influence of vesicle size, but the vesicle size does not affect the long-term deformation which is consistent with experimental evidence. Highly nonlinear effect of the applied field as well as the conductivity ratios inside and outside of the vesicle are observed. Results also point towards an early linear deformation regime followed by an equilibrium stage for the membranes. Modeling results suggest that electrodeforming vesicles can create unique external flows for different conductivity ratios. Moreover, significant influence of the initial aspect ratio of the vesicle on the force distribution is observed across a range of conductivity ratios.

Indexed as

Giant vesiclesImmersed boundary methodImmersed interface methodVesicle electrodeformation

Identifiers

PMID32864538
PMCPMC7451073

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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.