Skip to main content

Design for Detecting Red Blood Cell Deformation at Different Flow Velocities in Blood Vessel

  • Conference paper
  • First Online:
Bio-inspired Information and Communication Technologies (BICT 2020)

Abstract

Molecular communication (MC) holds considerable promise as the next generation of design for drug delivery that allows for targeted therapy with minimal toxicity. Most current studies on flow-based MC driven drug delivery application consider a Newtonian fluid and laminar flow. However, blood is a complex biological fluid composed of deformable cells especially red blood cells, proteins, platelets, and plasma. For blood flow in capillaries, arterioles and venules, the particulate nature of the blood needs to be considered in the delivery process. The ability to change shape is essential for the proper functioning of red blood cells in microvessels. The different shapes of red blood cells have a great impact on the performance characteristics of whole blood (blood and plasma). Changes in the properties and shape of RBC substances are often associated with different blood diseases and diseases, such as sickle cell anemia, diabetes, and malaria. Based on the state of the red blood cells in the microtubules at different flow rates, this paper proposes a design for detecting the ability of the cells to deform. Based on the difference in the concentration of the nanoparticles at the receiving end at different flow rates, the ability of the red blood cells to deform is determined, and the blood state is determined. Further, the related blood diseases can be initially predicted.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Sun, Y., Yang, K., Liu, Q.: Channel capacity modelling of blood capillary-based molecular communication with blood flow drift. In: Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication NanoCom 2017 (2017). https://doi.org/10.1145/3109453.3109454

  2. Felicetti, L., Femminella, M., Reali, G.: A molecular communications system for live detection of hyperviscosity syndrome. Trans. NanoBiosci. 19, 410–421 (2019)

    Article  Google Scholar 

  3. Reichel, F., Mauer, J., Nawaz, A.A., Gompper, J., Guck, G., Fedosov, D.A.: High-throughput microfluidic characterization of erythrocyte shapes and mechanical variability. Biophys. J. 117(1), 14–24 (2019). https://doi.org/10.1016/j.bpj.2019.05.022

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Tan, J., Thomas, A., Liu, Y.: Influence of red blood cells on nanoparticle targeted delivery in microcirculation. Soft Matter 8(6), 1934–1946 (2012). https://doi.org/10.1039/c2sm06391c

    Article  CAS  Google Scholar 

  5. Amoh, Y., Katsuoka, K., Hoffman, R.: Color-coded fluorescent protein imaging of angiogenesis: the AngioMouse174. Models Curr. Pharm. Des. 14(36), 3810–3819 (2008). https://doi.org/10.2174/138161208786898644

    Article  CAS  PubMed  Google Scholar 

  6. Kuntao, Y., Xueting, X., Musha, E.: A study on the effects of morphological variation of erythrocyte on the scattering characteristics (2019). https://doi.org/10.13265/j.cnki.jxlgdxxb.2019.05.016

  7. Felicetti, L., Femminella, M., Reali, G., Li, P.: A molecular communication system in blood vessels for tumor detection. In: Proceedings of the 1st ACM International Conference on Nanoscale Computing and Communication, NANOCOM 2014 (2014). https://doi.org/10.1145/2619955.2619978

  8. Aleksander, P., Popel, S., Johnsons, P.C.: Microcirculation and hemorheology. Ann. Rev. Fluid Mech., 1–23 (2005). https://doi.org/10.1146/annurev.fluid.37.042604.133933.Microcirculation

  9. Li, X., Popel, A.S., Karniadakis, G.E.: Bloodplasma separation in Y-shaped bifurcating microfluidic channels: a dissipative particle dynamics simulation study. Phys. Biol. 9(2) (2012). https://doi.org/10.1088/1478-3975/9/2/026010

  10. Tsubota, K., Wada, S.: Elastic force of red blood cell membrane during tank-treading motion: consideration of the membranes natural state. J. Mech. Sci. 52(2), 356–364 (2010). https://doi.org/10.1016/j.ijmecsci.2009.10.007

    Article  Google Scholar 

  11. Sequeira, A., et al.: Numerical modelling of cell distribution in blood flow. Math. Model. Nat. Phenom. 9(6), 69–84 (2014). https://doi.org/10.1051/mmnp/20149606

    Article  Google Scholar 

  12. Venkatesan, J., Sankar, D.S., Hemalatha, K., Yatim, Y.: Mathematical analysis of Casson fluid model for blood rheology in stenosed narrow arteries. J. Appl. Math. 2013 (2013). https://doi.org/10.1155/2013/583809

  13. Liu, Y., Liu, W.K.: Rheology of red blood cell aggregation by computer simulation. J. Comput. Phys. 220(1), 139–154 (2006). https://doi.org/10.1016/j.jcp.2006.05.010

    Article  Google Scholar 

  14. Bessonov, N., et al.: Numerical simulation of blood flows with non-uniform distribution of erythrocytes and platelets. Russ. J. Numer. Anal. Math. Model. 28(5), 443–458 (2013). https://doi.org/10.1515/rnam-2013-0024

    Article  Google Scholar 

  15. Bessonov, N., Sequeira, A., Simakov, S., Vassilevskii, Y., Volpert, V.: Methods of blood flow modelling. Math. Model. Nat. Phenom. 11(1), 1–25 (2016). https://doi.org/10.1051/mmnp/201611101

    Article  Google Scholar 

  16. Gidaspow, D., Huang, J.: Kinetic theory based model for blood flow and its viscosity. Ann. Biomed. Eng. 37(8), 1534–1545 (2009). https://doi.org/10.1007/s10439-009-9720-3

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to RuiZi Zhang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zhang, R., Sun, Y., Chen, Y. (2020). Design for Detecting Red Blood Cell Deformation at Different Flow Velocities in Blood Vessel. In: Chen, Y., Nakano, T., Lin, L., Mahfuz, M., Guo, W. (eds) Bio-inspired Information and Communication Technologies. BICT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 329. Springer, Cham. https://doi.org/10.1007/978-3-030-57115-3_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-57115-3_20

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-57114-6

  • Online ISBN: 978-3-030-57115-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics