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PMID: 32567630 Published · ppublish English Journal Article

On the effects of membrane viscosity on transient red blood cell dynamics.

Soft matter ·Vol. 16 ·No. 26 ·2020-07-08 ·页码 6191-6205

Guglietta F, Behr M, Biferale L, Falcucci G, Sbragaglia M

Abstract

Computational Fluid Dynamics (CFD) is currently used to design and improve the hydraulic properties of biomedical devices, wherein the large scale blood circulation needs to be simulated by accounting for the mechanical response of red blood cells (RBCs) at the mesoscale. In many practical instances, biomedical devices work on time-scales comparable to the intrinsic relaxation time of RBCs: thus, a systematic understanding of the time-dependent response of erythrocyte membranes is crucial for the effective design of such devices. So far, this information has been deduced from experimental data, which do not necessarily adapt to the broad variety of fluid dynamic conditions that can be encountered in practice. This work explores the novel possibility of studying the time-dependent response of an erythrocyte membrane to external mechanical loads via mesoscale numerical simulations, with a primary focus on the detailed characterisation of the RBC relaxation time tc following the arrest of the external mechanical load. The adopted mesoscale model exploits a hybrid Immersed Boundary-Lattice Boltzmann Method (IB-LBM), coupled with the Standard Linear Solid (SLS) model to account for the RBC membrane viscosity. We underscore the key importance of the 2D membrane viscosity μm to correctly reproduce the relaxation time of the RBC membrane. A detailed assessment of the dependencies on the typology and strength of the applied mechanical loads is also provided. Overall, our findings open interesting future perspectives for the study of the non-linear response of RBCs immersed in time-dependent strain fields.

MeSH 主题词
Blood Viscosity Erythrocyte Deformability Erythrocyte Membrane Erythrocytes Viscosity
作者与单位
共 5 位作者,点击展开单位 / ORCID
Guglietta Fabio ORCID
Department of Physics & INFN, University of Rome "Tor Vergata", Via della Ricerca Scientifica 1, 00133, Rome, Italy. [email protected] and Chair for Computational Analysis of Technical Systems (CATS), RWTH Aachen University, 52056 Aachen, Germany and Computation-Based Science and Technology Research Center, The Cyprus Institute, 20 Konstantinou Kavafi Str., 2121 Nicosia, Cyprus.
Behr Marek
Chair for Computational Analysis of Technical Systems (CATS), RWTH Aachen University, 52056 Aachen, Germany.
Biferale Luca
Department of Physics & INFN, University of Rome "Tor Vergata", Via della Ricerca Scientifica 1, 00133, Rome, Italy. [email protected].
Falcucci Giacomo ORCID
Department of Enterprise Engineering "Mario Lucertini", University of Rome "Tor Vergata", Via del Politecnico 1, 00133 Rome, Italy and John A. Paulson School of Engineering and Applied Physics, Harvard University, 33 Oxford Street, 02138 Cambridge, Massachusetts, USA.
Sbragaglia Mauro
Department of Physics & INFN, University of Rome "Tor Vergata", Via della Ricerca Scientifica 1, 00133, Rome, Italy. [email protected].
Article Info
Journal
Soft matter
Abbr.
Soft Matter
ISSN
1744-6848
Corresponding email
Published
2020-07-08
页码
6191-6205
Language
English
Country/Region
England
NLM ID
101295070
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