Literature DB >> 23114881

Hematocrit, viscosity and velocity distributions of aggregating and non-aggregating blood in a bifurcating microchannel.

Joseph M Sherwood1, Efstathios Kaliviotis, Jonathan Dusting, Stavroula Balabani.   

Abstract

Microscale blood flow is characterised by heterogeneous distributions of hematocrit, viscosity and velocity. In microvascular bifurcations, cells are unevenly distributed between the branches, and this effect can be amplified in subsequent branches depending on a number of parameters. We propose an approach to infer hematocrit profiles of human blood flowing through a bifurcating microchannel. The influence of aggregation, induced by the addition of Dextran 2000 to the samples, is also considered. Averaged values indicate plasma skimming, particularly in the presence of red blood cell (RBC) aggregation. Using an empirical model, the hematocrit profiles are used to estimate local relative viscosity distributions. Simulations are used to predict how the non-uniform viscosity influences the velocity profiles. Comparing these data to velocity profiles of RBCs measured using particle image velocimetry provides validation of the model. It is observed that aggregation blunts velocity profiles after a long straight section of channel. Downstream of the bifurcation, skewing of the velocity profiles is detected, which is enhanced by aggregation. The proposed methodology is capable of providing hitherto unreported information on important aspects of microscale blood rheology.

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Year:  2012        PMID: 23114881     DOI: 10.1007/s10237-012-0449-9

Source DB:  PubMed          Journal:  Biomech Model Mechanobiol        ISSN: 1617-7940


  13 in total

1.  Controlled Microfluidic Environment for Dynamic Investigation of Red Blood Cell Aggregation.

Authors:  Rym Mehri; Catherine Mavriplis; Marianne Fenech
Journal:  J Vis Exp       Date:  2015-06-04       Impact factor: 1.355

2.  Hematocrit dispersion in asymmetrically bifurcating vascular networks.

Authors:  Krishna Sriram; Marcos Intaglietta; Daniel M Tartakovsky
Journal:  Am J Physiol Heart Circ Physiol       Date:  2014-09-12       Impact factor: 4.733

3.  Going beyond 20 μm-sized channels for studying red blood cell phase separation in microfluidic bifurcations.

Authors:  Sophie Roman; Adlan Merlo; Paul Duru; Frédéric Risso; Sylvie Lorthois
Journal:  Biomicrofluidics       Date:  2016-05-12       Impact factor: 2.800

4.  Visualization and analysis of biomaterial-centered thrombus formation within a defined crevice under flow.

Authors:  Megan A Jamiolkowski; Drake D Pedersen; Wei-Tao Wu; James F Antaki; William R Wagner
Journal:  Biomaterials       Date:  2016-04-26       Impact factor: 12.479

5.  Continuum microhaemodynamics modelling using inverse rheology.

Authors:  Joseph van Batenburg-Sherwood; Stavroula Balabani
Journal:  Biomech Model Mechanobiol       Date:  2021-12-14

6.  Inflow/Outflow Boundary Conditions for Particle-Based Blood Flow Simulations: Application to Arterial Bifurcations and Trees.

Authors:  Kirill Lykov; Xuejin Li; Huan Lei; Igor V Pivkin; George Em Karniadakis
Journal:  PLoS Comput Biol       Date:  2015-08-28       Impact factor: 4.475

7.  Spatial distributions of red blood cells significantly alter local haemodynamics.

Authors:  Joseph M Sherwood; David Holmes; Efstathios Kaliviotis; Stavroula Balabani
Journal:  PLoS One       Date:  2014-06-20       Impact factor: 3.240

8.  Partitioning of red blood cell aggregates in bifurcating microscale flows.

Authors:  E Kaliviotis; J M Sherwood; S Balabani
Journal:  Sci Rep       Date:  2017-03-17       Impact factor: 4.379

9.  A micro-scale simulation of red blood cell passage through symmetric and asymmetric bifurcated vessels.

Authors:  Tong Wang; Uwitije Rongin; Zhongwen Xing
Journal:  Sci Rep       Date:  2016-02-02       Impact factor: 4.379

10.  Bubbles Moving in Blood Flow in a Microchannel Network: The Effect on the Local Hematocrit.

Authors:  David Bento; Sara Lopes; Inês Maia; Rui Lima; João M Miranda
Journal:  Micromachines (Basel)       Date:  2020-03-26       Impact factor: 2.891

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