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In vitro investigations of red blood cell phase separation in a complex microchannel network
Author(s) -
Alberto Mantegazza,
Francesco Clavica,
Dominik Obrist
Publication year - 2020
Publication title -
biomicrofluidics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.634
H-Index - 63
ISSN - 1932-1058
DOI - 10.1063/1.5127840
Subject(s) - microchannel , hematocrit , skewness , red blood cell , fraction (chemistry) , phase (matter) , flow (mathematics) , biological system , statistical physics , chemistry , topology (electrical circuits) , computer science , mechanics , physics , chromatography , mathematics , statistics , medicine , biochemistry , organic chemistry , combinatorics , biology , endocrinology
Microvascular networks feature a complex topology with multiple bifurcating vessels. Nonuniform partitioning ( phase separation ) of red blood cells (RBCs) occurs at diverging bifurcations, leading to a heterogeneous RBC distribution that ultimately affects the oxygen delivery to living tissues. Our understanding of the mechanisms governing RBC heterogeneity is still limited, especially in large networks where the RBC dynamics can be nonintuitive. In this study, our quantitative data for phase separation were obtained in a complex in vitro network with symmetric bifurcations and 176 microchannels. Our experiments showed that the hematocrit is heterogeneously distributed and confirmed the classical result that the branch with a higher blood fraction received an even higher RBC fraction ( classical partitioning ). An inversion of this classical phase separation ( reverse partitioning ) was observed in the case of a skewed hematocrit profile in the parent vessels of bifurcations. In agreement with a recent computational study [P. Balogh and P. Bagchi, Phys. Fluids 30 ,051902 (2018)], a correlation between the RBC reverse partitioning and the skewness of the hematocrit profile due to sequential converging and diverging bifurcations was reported. A flow threshold below which no RBCs enter a branch was identified. These results highlight the importance of considering the RBC flow history and the local RBC distribution to correctly describe the RBC phase separation in complex networks.

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