Journal
MICROMACHINES
Volume 12, Issue 8, Pages -Publisher
MDPI
DOI: 10.3390/mi12080974
Keywords
viscosity; dissipative particles; blood cells; computational modeling; rheology
Categories
Funding
- Operational Program Integrated Infrastructure of the project Integrated strategy in the development of personalized medicine of selected malignant tumor diseases and its impact on life quality [313011V446]
- European Regional Development Fund
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The study uses dissipative particles to simulate the inner viscosity of red blood cells, which improves the accuracy of the original model without significantly increasing computational complexity.
The inner viscosity of a biological red blood cell is about five times larger than the viscosity of the blood plasma. In this work, we use dissipative particles to enable the proper viscosity contrast in a mesh-based red blood cell model. Each soft particle represents a coarse-grained virtual cluster of hemoglobin proteins contained in the cytosol of the red blood cell. The particle interactions are governed by conservative and dissipative forces. The conservative forces have purely repulsive character, whereas the dissipative forces depend on the relative velocity between the particles. We design two computational experiments that mimic the classical viscometers. With these experiments we study the effects of particle suspension parameters on the inner cell viscosity and provide parameter sets that result in the correct viscosity contrast. The results are validated with both static and dynamic biological experiment, showing an improvement in the accuracy of the original model without major increase in computational complexity.
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