Flow rate resonance of actively deforming particles.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
10 Jun 2023
Historique:
received: 09 01 2023
accepted: 29 05 2023
medline: 12 6 2023
pubmed: 11 6 2023
entrez: 10 6 2023
Statut: epublish

Résumé

Lymphoid organs are unusual multicellular tissues: they are densely packed, but the lymphocytes trafficking through them are actively moving. We hypothesize that the intriguing ability of lymphocytes to avoid jamming and clogging is in part attributable to the dynamic shape changes that cells undergo when they move. In this work, we test this hypothesis by investigating an idealized system, namely, the flow of self-propelled, oscillating particles passing through a narrow constriction in two dimensions (2D), using numerical simulations. We found that deformation allows particles with these properties to flow through a narrow constriction in conditions when non-deformable particles would not be able to do so. Such a flowing state requires the amplitude and frequency of oscillations to exceed threshold values. Moreover, a resonance leading to the maximum flow rate was found when the oscillation frequency matched the natural frequency of the particle related to its elastic stiffness. To our knowledge, this phenomenon has not been described previously. Our findings could have important implications for understanding and controlling flow in a variety of systems in addition to lymphoid organs, such as granular flows subjected to vibration.

Identifiants

pubmed: 37301896
doi: 10.1038/s41598-023-36182-5
pii: 10.1038/s41598-023-36182-5
pmc: PMC10257709
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

9455

Subventions

Organisme : Human Frontier Science Program (HFSP)
ID : RGP0053/2020
Organisme : Human Frontier Science Program (HFSP)
ID : RGP0053/2020
Organisme : Human Frontier Science Program (HFSP)
ID : RGP0053/2020
Organisme : Human Frontier Science Program (HFSP)
ID : RGP0053/2020

Informations de copyright

© 2023. The Author(s).

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Auteurs

Daniel R Parisi (DR)

Instituto Tecnológico de Buenos Aires (ITBA), CONICET, C.A. de Buenos Aires, Argentina. dparisi@itba.edu.ar.

Lucas E Wiebke (LE)

Instituto Tecnológico de Buenos Aires (ITBA), C.A. de Buenos Aires, Argentina.

Judith N Mandl (JN)

Department of Physiology and McGill Research Centre on Complex Traits, McGill University, Montreal, Canada.

Johannes Textor (J)

Data Science group, Institute for Computing and Information Sciences, Radboud University, Nijmegen, The Netherlands.

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Classifications MeSH