A Model for Red Blood Cells in Simulations of Large‐scale Blood Flows

Melchionna, Simone

doi:10.1002/mats.201100012

Cited by 40 publications

(24 citation statements)

References 40 publications

(48 reference statements)

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“…1a-b we show two typical late-time configurations of the binary fluid density for V f = 0 and V f ∼ 0.036, A = 2. Such value of A sets the longitudinal length of the dumbbell particle at ∼ 8 lattice points, comparable with the interface width, estimated around 5 − 7 lattice spacings, as in previous works [8,9,18]. In both cases, domains of each phase grow with time as the phase separation proceeds, until they achieve a sufficiently large size at late times, beyond which finite size effects become dominant.…”

Section: Curvature Dynamics Of Fluid-fluid Interfaces With Colloidssupporting

confidence: 85%

Disordered interfaces in soft fluids with suspended colloids

Tiribocchi

Lauricella

Montessori

et al. 2019

Int. J. Mod. Phys. C

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Computer simulations of bi-continuous two-phase fluids with intersparsed dumbbells show that, unlike rigid colloids, soft dumbbells do not lead to arrested coarsening. However, they significantly alter the curvature dynamics of the fluid-fluid interface, whose probability density distributions are shown to exhibit (i) a universal spontaneous transition from an initial broad-shape distribution towards a highly localized one and (ii) super-diffusive dynamics with long-range effects. Both features may prove useful for the design of novel families of soft porous materials.

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Section: Curvature Dynamics Of Fluid-fluid Interfaces With Colloidssupporting

confidence: 85%

Disordered interfaces in soft fluids with suspended colloids

Tiribocchi

Lauricella

Montessori

et al. 2019

Int. J. Mod. Phys. C

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show abstract

“…Furthermore, our work opens a route to equipping coarse-grained blood models [43,44] with proper constitutive laws for the tumbling/tank-treading probability or the average particle deformation given an ambient stress value.…”

Section: Discussionmentioning

confidence: 99%

Crossover from tumbling to tank-treading-like motion in dense simulated suspensions of red blood cells

et al. 2013

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Via computer simulations, we provide evidence that the shear rate induced red blood cell tumbling-to-tank-treading transition also occurs at quite high volume fractions, where collective effects are important. The transition takes place as the ratio of effective suspension stress to the characteristic cell membrane stress exceeds a certain value and does not explicitly depend on volume fraction or cell deformability. This value coincides with that for a transition from an orientationally less ordered to a highly ordered phase. The average cell deformation does not show any signature of transition, but rather follows a simple scaling law independent of volume fraction.

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“…41,43 Furthermore, this effect has also been quantitatively predicted by 2D blood flow models 9 and by the simplified blood models, 84,105,116 which do not properly capture RBC membrane deformability. This clearly indicates that the deformability and dynamics of individual cells do not significantly affect the flow resistance.…”

Section: Healthy Blood Flowmentioning

confidence: 99%

Computational Biorheology of Human Blood Flow in Health and Disease

et al. 2013

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Hematologic disorders arising from infectious diseases, hereditary factors and environmental influences can lead to, and can be influenced by, significant changes in the shape, mechanical and physical properties of red blood cells (RBCs), and the biorheology of blood flow. Hence, modeling of hematologic disorders should take into account the multiphase nature of blood flow, especially in arterioles and capillaries. We present here an overview of a general computational framework based on dissipative particle dynamics (DPD) which has broad applicability in cell biophysics with implications for diagnostics, therapeutics and drug efficacy assessments for a wide variety of human diseases. This computational approach, validated by independent experimental results, is capable of modeling the biorheology of whole blood and its individual components during blood flow so as to investigate cell mechanistic processes in health and disease. DPD is a Lagrangian method that can be derived from systematic coarse-graining of molecular dynamics but can scale efficiently up to arterioles and can also be used to model RBCs down to the spectrin level. We start from experimental measurements of a single RBC to extract the relevant biophysical parameters, using single-cell measurements involving such methods as optical tweezers, atomic force microscopy and micropipette aspiration, and cell-population experiments involving microfluidic devices. We then use these validated RBC models to predict the biorheological behavior of whole blood in healthy or pathological states, and compare the simulations with experimental results involving apparent viscosity and other relevant parameters. While the approach discussed here is sufficiently general to address a broad spectrum of hematologic disorders including certain types of cancer, this paper specifically deals with results obtained using this computational framework for blood flow in malaria and sickle cell anemia.

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A Model for Red Blood Cells in Simulations of Large‐scale Blood Flows

Cited by 40 publications

References 40 publications

Disordered interfaces in soft fluids with suspended colloids

Disordered interfaces in soft fluids with suspended colloids

Crossover from tumbling to tank-treading-like motion in dense simulated suspensions of red blood cells

Computational Biorheology of Human Blood Flow in Health and Disease

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