Literature DB >> 20448297

Mathematical modelling of the cell-depleted peripheral layer in the steady flow of blood in a tube.

Miguel A Moyers-Gonzalez1, Robert G Owens.   

Abstract

In an earlier paper, Moyers-Gonzalez et al. [J. Fluid. Mech. 617 (2008), 327-354] used kinetic theory to derive a non-homogeneous haemorheological model and applied this to simulate the properties of steady flow of blood in a tube. By adjusting the tube haematocrit to match that of the experimental fitted curve of Pries et al. [Circ. Res. 67 (1990), 826-834] the authors showed that it was possible to quantitatively predict the apparent viscosity values presented in a later paper by Pries et al. [Am. J. Physiol. 263 (1992), 1770-1778]. In the present paper, it is the discharge haematocrit rather than the tube haematocrit that is prescribed. We further develop the predictive capacities of the original model of Moyers-Gonzalez et al. [J. Fluid. Mech. 617 (2008), 327-354] by introducing a cell-free peripheral layer next to the tube wall where, following the ideas of Sharan and Popel [Biorheology 38 (2001), 415-428], dissipation in this layer is accounted for by allowing the viscosity there to exceed that of plasma. Using both the apparent viscosity data of Pries et al. [Am. J. Physiol. 263 (1992), 1770-1778] and the relative tube haematocrit relation proposed by Sharan and Popel [Biorheology 38 (2001), 415-428], we predict the thickness of the cell-free layer and the relative viscosity in this layer. The predicted thickness of the cell-free layer as a function of both a pseudo-shear rate and the tube diameter for 45% haematocrit blood is shown to be in very close conformity with the experimental measurements of Reinke et al. [Am. J. Physiol. 253 (1987), 540-547]. With increasing discharge haematocrit the cell-free layer thickness is shown to decrease, as observed in several experimental papers [Bugliarello and Hayden, Trans. Soc. Rheol. VII (1963), 209-230, Bugliarello and Sevilla, Biorheology 7 (1970), 85-107, Soutani et al., Am. J. Physiol. 268 (1995), 1959-1965]. Our prediction of the relative viscosity in the cell-free layer shows a similar trend to that computed by Sharan and Popel [Biorheology 38 (2001), 415-428]. Finally, for sufficiently large pseudo-shear rates it is shown that the Deborah number (a non-dimensional relaxation time) may be taken to be a constant, thus greatly simplifying our haemorheological model and allowing for a partially analytic solution to the problem of steady non-homogeneous flow of blood in a tube.

Mesh:

Year:  2010        PMID: 20448297     DOI: 10.3233/BIR-2010-0558

Source DB:  PubMed          Journal:  Biorheology        ISSN: 0006-355X            Impact factor:   1.875


  8 in total

1.  Blood flow and cell-free layer in microvessels.

Authors:  Dmitry A Fedosov; Bruce Caswell; Aleksander S Popel; George Em Karniadakis
Journal:  Microcirculation       Date:  2010-11       Impact factor: 2.628

2.  Dynamics of blood flow: modeling of Fåhraeus and Fåhraeus-Lindqvist effects using a shear-induced red blood cell migration model.

Authors:  Rachid Chebbi
Journal:  J Biol Phys       Date:  2018-09-15       Impact factor: 1.365

3.  The Fåhræus-Lindqvist effect in small blood vessels: how does it help the heart?

Authors:  Michela Ascolese; Angiolo Farina; Antonio Fasano
Journal:  J Biol Phys       Date:  2019-12-02       Impact factor: 1.365

4.  Blood flow in small tubes: quantifying the transition to the non-continuum regime.

Authors:  Huan Lei; Dmitry A Fedosov; Bruce Caswell; George Em Karniadakis
Journal:  J Fluid Mech       Date:  2013-05-01       Impact factor: 3.627

5.  Two-phase model for prediction of cell-free layer width in blood flow.

Authors:  Bumseok Namgung; Meongkeun Ju; Pedro Cabrales; Sangho Kim
Journal:  Microvasc Res       Date:  2012-10-29       Impact factor: 3.514

6.  Effect of deformability difference between two erythrocytes on their aggregation.

Authors:  Meongkeun Ju; Swe Soe Ye; Hong Tong Low; Junfeng Zhang; Pedro Cabrales; Hwa Liang Leo; Sangho Kim
Journal:  Phys Biol       Date:  2013-04-10       Impact factor: 2.583

7.  A computational model of a microfluidic device to measure the dynamics of oxygen-dependent ATP release from erythrocytes.

Authors:  Richard J Sove; Nour Ghonaim; Daniel Goldman; Christopher Gerald Ellis
Journal:  PLoS One       Date:  2013-11-27       Impact factor: 3.240

8.  A Tube-Integrated Painted Biosensor for Glucose and Lactate.

Authors:  Weihua Shi; Xiaojin Luo; Yue Cui
Journal:  Sensors (Basel)       Date:  2018-05-18       Impact factor: 3.576

  8 in total

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