Fluid particle diffusion through high-hematocrit blood flow within a capillary tube
Introduction
Blood is a concentrated suspension of various types of blood cells in plasma, where about 99% of the volume fraction of these different blood cells consists of red blood cells (RBCs). When blood flows in vessels, a micron-scale flow field is generated by RBC motions, which is known to enhance substance diffusion to a level greater than simple Brownian diffusion (Ahuja et al., 1978). Enhancement of mass transport in blood flow is important, because various substances, such as oxygen, nutrients, waste products, and drugs, are transported in the microvascular circulation. The diffusion of platelets is also important, in terms of platelet contact and then adhesion to injured parts of a vascular wall during the first stage of thrombosis formation (Turitto et al., 1972, Wootton and Ku, 1999, Miyazaki and Yamaguchi, 2003). Also, in biomedical microdevices, substances are transported through blood flow within microchannels (Chang et al., 2000, Young and Simmons, 2009). Thus, understanding transport phenomena in microchannels is important not only with regard to physiological and pathological phenomena, but also for designing biomedical microdevices.
To investigate the role of RBCs in the microcirculation transport phenomena, many researchers have studied the motion and dispersion of RBCs in dilute suspensions flowing through glass capillaries (Goldsmith, 1971a, Goldsmith, 1971b, Fischer et al., 1978, Suzuki et al., 1996, Lominadze and Mchedlishvili, 1999, Mchedlishvili and Maeda, 2001, Pries and Secomb, 2003). Because the hematocrit (Hct) in microvessels is around 10–20% (Fung, 1997), it is essential to study blood flow behavior under similar Hct conditions. The main obstacles in tracking RBCs in high-Hct blood are light absorption by hemoglobin and light scattering by RBCs. To overcome this problem, Goldsmith and Turitto (1986) prepared ghost cells by rupturing the RBC membrane and taking out the hemoglobin. Then, they put a small number of RBCs in the suspension of transparent ghost cells and investigated the dispersion of these RBCs. Recently, the authors investigated dispersion of labeled RBCs in concentrated suspensions of healthy RBCs instead of ghost cells (Lima et al., 2008, Lima et al., 2009). Our confocal micro-PTV system enabled the detection of the motions of labeled RBCs even in concentrated suspensions of blood.
While the dispersion of RBCs in blood flow has been investigated widely, there are few reports on the dispersion of fluid particles in blood flow. Goldsmith and coworkers (Goldsmith and Karino, 1977, Goldsmith and Marlow, 1979, Goldsmith and Turitto, 1986) investigated tracer particle dispersion in blood flow, but they also used ghost cells, not RBCs, to visualize particle motions in the concentrated suspension. Recently, Gidaspow and Songprawat (2009) measured the diffusion coefficient of nanoparticles also in a suspension of ghost cells. Although these studies are suggestive and interesting, the use of ghost cells instead of RBCs is an important limitation, because the deformation of RBCs changes markedly by varying the viscosity ratio between the intracellular and extracellular fluids of RBCs. In the case of healthy RBCs in plasma, the viscosity of the intracellular fluid, containing hemoglobin, is about 5–8 times larger than that of plasma. In the case of ghost cells, on the other hand, the intracellular and extracellular fluids are identical and the viscosity ratio is unity. Thus, the dispersion of fluid particles in a concentrated suspension of healthy RBCs needs to be clarified.
In this study, the spreading of tracer particles in concentrated suspensions of healthy RBCs flowing in a capillary tube was investigated. By using a confocal micro-PTV system, we could track particle motions in blood with Hct concentrations of up to 20%. We discuss the effect of Hct, radial position of particles, and flow rate, on tracer particle dispersion. We also demonstrate that a scaling analysis could capture the main features of the results.
Section snippets
Experimental setup
The confocal micro-PTV system used in this study was the same as that used by Lima et al. (2009). For details, please refer our former paper.
Working fluids
Primarily four kinds of working fluid were used in this study: dextran40 (DX40; Otsoku Pharmaceutical Co., Ltd., Japan) alone and DX40 containing a human RBC Hct of 10%, 15%, and 20%. All samples were seeded with 0.1% (v/v) 1 μm diameter fluorescent tracer particles (F13082, Molecular Probes, Eugene, OR, USA). The density and viscosity of DX40 at 37 °C are
Spreading of tracer particles in 10% Hct blood
Fig. 1 shows the flow of 10% Hct blood with 0.1% tracer particles in the 50 μm diameter glass capillary tube with a flow rate of 0.033 μL/min. Fig. 1(a) is the superposition of the confocal image and the normal halogen illumination image, where a cell-free layer was found near the wall. In the pure confocal image (Fig. 1(b)), the tracer particles at the center plane were clearly observed as bright dots, although RBCs were hardly seen. By tracking individual tracer particles, we could measure the
Scaling
We next performed a scaling analysis in an attempt to understand the basic mechanism of the diffusion of tracer particles in the blood flow. Inside the blood flow, particles interact with surrounding RBCs, which changes their orientations and configurations chaotically. Thus, the motion of tracer particles might be expected to resemble a random walk. If we let the length-scale for a particle to drift in the radial direction by colliding to a single RBC be dr, dr may be approximated as a
Conclusions
In this study, the spreading of tracer particles in blood with up to 20% hematocrit flowing in a capillary tube was studied using a confocal micro-PTV system. We could successfully track hundreds of particles in high-hematocrit blood and measured the radial dispersion coefficient. The results illustrated significant enhancement of the particle diffusion due to a micron-scale flow-field generated by RBC motions. By increasing the flow rate, the particle dispersion increased almost linearly,
Conflict of interest statement
None declared.
Acknowledgments
This study was supported by Grant-in-Aid for Scientific Research (S) from the Japan Society for the Promotion of Science (JSPS; No. 19100008) and by a Grant-in-Aid for Young Scientists (A) from the JSPS (No. 19686016). We also acknowledge the support from the 2007 Global COE Program "Global Nano-Biomedical Engineering Education and Research Network Centre".
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