Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/18499
Title: Hematocrit, viscosity and velocity distributions of aggregating and non-aggregating blood in a bifurcating microchannel
Authors: Sherwood, Joseph M. 
Kaliviotis, Efstathios 
Dusting, Jonathan 
Balabani, Stavroula 
Major Field of Science: Engineering and Technology
Field Category: Mechanical Engineering
Keywords: Aggregation;Hematocrit distribution;PIV;Velocity profiles;Viscosity profiles
Issue Date: Apr-2014
Source: Biomechanics and Modeling in Mechanobiology, 2014, vol. 13, iss. 2, pp. 259-273
Volume: 13
Issue: 2
Start page: 259
End page: 273
Journal: Biomechanics and modeling in mechanobiology 
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.
URI: https://hdl.handle.net/20.500.14279/18499
ISSN: 16177959
DOI: 10.1007/s10237-012-0449-9
Rights: © Springer
Type: Article
Affiliation : University College London 
King's College London 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

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