Evidence map›Paper›PMID 41341223›Full record

ArticleCommunications physics2025

Unravel the rotational and translational behavior of a single squirmer in flexible polymer solutions at different Reynolds numbers.

Kai Qi, Yuan Zhou, Marco De Corato, Kevin Stratford, Ignacio Pagonabarraga

Abstract read
In one paragraph

Article in Communications physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Kai Qi *2020 X-Lab, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050 China.ORCID 0000-0002-6659-4273
Yuan Zhou *2020 X-Lab, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050 China.
Marco De CoratoAragon Institute of Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain.ORCID 0000-0002-9361-4794
Kevin StratfordEdinburgh Parallel Computing Centre, The University of Edinburgh, Edinburgh, EH9 3JZ Scotland.
Ignacio PagonabarragaCentre Européen de Calcul Atomique et Moléculaire (CECAM), École Polytechnique Fédérale de Lasuanne (EPFL), Avenue Forel 2, Lausanne, 1015 Switzerland.ORCID 0000-0002-6187-5025

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microorganisms such as bacteria and algae navigate complex fluids, where their dynamics are vital for medical and industrial applications. However, the influence of the Reynolds number (Re) on the transport and rotational behavior of microswimmers in viscoelastic media remains poorly understood. Here, we investigate these effects for a model squirmer in flexible polymer solutions across a range of Re using Lattice Boltzmann simulations. The interaction between swimmer activity and polymer heterogeneity strongly affects behavior, with rotational enhancement up to 1400-fold and reduced self-propulsion and diffusivity for squirmers. These effects result from hydrodynamic and mechanical interactions: polymers wrap ahead of pushers and accumulate behind pullers, enhancing rotation while hindering translation through forces and torques from direct contacts or asymmetric flows. The influence of Re and squirmer-polymer boundary conditions (no-slip vs. repulsive) is also examined. Notably, no-slip conditions intensify effects above a critical Reynolds number (

Indexed as

Biological physicsColloidsCondensed-matter physicsPolymersStatistical physics, thermodynamics and nonlinear dynamics

Identifiers

PMID41341223
PMCPMC12669044

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.