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

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Title: Hematocrit, viscosity and velocity distributions of aggregating and non-aggregating blood in a bifurcating microchannel.
Authors: Sherwood, Joseph1, Kaliviotis, Efstathios2, Dusting, Jonathan2, Balabani, Stavroula1 s.balabani@ucl.ac.uk
Source: Biomechanics & Modeling in Mechanobiology. Apr2014, Vol. 13 Issue 2, p259-273. 15p.
Subjects: Hematocrit, Blood viscosity, Microchannel flow, Erythrocytes, Cell aggregation, Particle image velocimetry
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. [ABSTRACT FROM AUTHOR]
Copyright of Biomechanics & Modeling in Mechanobiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Hematocrit, viscosity and velocity distributions of aggregating and non-aggregating blood in a bifurcating microchannel.
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  Data: <searchLink fieldCode="DE" term="%22Hematocrit%22">Hematocrit</searchLink><br /><searchLink fieldCode="DE" term="%22Blood+viscosity%22">Blood viscosity</searchLink><br /><searchLink fieldCode="DE" term="%22Microchannel+flow%22">Microchannel flow</searchLink><br /><searchLink fieldCode="DE" term="%22Erythrocytes%22">Erythrocytes</searchLink><br /><searchLink fieldCode="DE" term="%22Cell+aggregation%22">Cell aggregation</searchLink><br /><searchLink fieldCode="DE" term="%22Particle+image+velocimetry%22">Particle image velocimetry</searchLink>
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Biomechanics & Modeling in Mechanobiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10237-012-0449-9
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        Text: English
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      – SubjectFull: Hematocrit
        Type: general
      – SubjectFull: Blood viscosity
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      – SubjectFull: Microchannel flow
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      – SubjectFull: Cell aggregation
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      – SubjectFull: Particle image velocimetry
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              Text: Apr2014
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