Export file:

Format

  • RIS(for EndNote,Reference Manager,ProCite)
  • BibTex
  • Text

Content

  • Citation Only
  • Citation and Abstract

Qualitative theoretical modeling to study the possibility of detecting multi-virus in blood flow using Nano-quartz crystal microbalance

1 Electrical Engineering Department, College of Engineering, King Khalid University, Asir 61421, Saudi Arabia
2 Department of Mechanical Engineering, College of Engineering, King Khalid University, Asir 61421, Saudi Arabia
3 Department of Computers and Communications, College of Engineering, Delta University for Science and Technology, Egypt
4 Laboratory of Electromechanical Systems (LASEM), National Engineering School of Sfax, University of Sfax, Sfax 43038, Tunisia
5 Electronics and Information Technology Laboratory, University of Sfax, National Engineering School of Sfax, Sfax 43038, Tunisia
6 Research Center for Advanced Materials Science (RCAMS), King Khalid University, Asir 61413, Saudi Arabia.
7 Nabeul’s Foundation Institute for Engineering Studies, University of Carthage, IPEIN, Nabeul 8000, Tunisia

Methods for testing the presence of a virus in the blood are of interest to researchers and doctors because they determine how rapidly a virus is detected. In general, virus detection is a major scientific problem due to the serious effects of viruses on the human body. At present, only one virus can be detected in a single test. This potentially costs the medical establishment more time and money that could be saved if blood testing was more efficient. This study presents a qualitative method to enable doctors and researchers to detect more than one virus simultaneously. This was performed using quartz nanoparticles. Using polymer thin films of polydimethylsiloxane (PDMS), each chip emits a different frequency for each specific type of virus on the chip. The multiplicity of these chips allows for the detection of a number of viruses with the same number of nanoscale chips simultaneously. Blood flow around quartz nanoparticles was modelled. In this model, several conventional Quartz Crystal Microbalance (QCM) with nanostructures (Nano-QCM) particles are inserted into the three main types of blood vessels. The results showed that the best location for the Nano-QCM is the large artery and that it is possible to test for a number of viruses in all types of blood vessels.
  Figure/Table
  Supplementary
  Article Metrics

Keywords blood flow; virus detection; quartz nanoparticles; heat transfer; laminar stream

Citation: Mohamed Abbas, Ali Algahtani, Amir Kessentini, Hassen Loukil, Muneer Parayangat, Thafasal Ijyas, Abdul Wase Mohammed. Qualitative theoretical modeling to study the possibility of detecting multi-virus in blood flow using Nano-quartz crystal microbalance. Mathematical Biosciences and Engineering, 2020, 17(5): 4563-4577. doi: 10.3934/mbe.2020252

References

  • 1. Z. Liu, J. R. Clausen, R. R. Rao, C. K. Aidun, Nanoparticle diffusion in sheared cellular blood flow, arXiv preprint arXiv, 2019 (2019).
  • 2. R. Ellahi, A. Zeeshan, F. Hussain, A. Asadollahi, Peristaltic Blood Flow of Couple Stress Fluid Suspended with nanoparticles under the Influence of Chemical Reaction and Activation Energy, Symmetry, 11 (2019), 276.
  • 3. S. M. Gheibi Hayat, M. Darroudi, Nanovaccine: A novel approach in immunization, J. Cell Physiol., 234 (2019), 12530-12536.
  • 4. T. Elnaqeeb, N. A. Shah, K. S. Mekheimer, Hemodynamic Characteristics of Gold Nanoparticle Blood Flow Through a Tapered Stenosed Vessel with Variable nanofluid Viscosity, BionanoScience, 9 (2019), 245-255.
  • 5. D. M. Teleanu, I. Negut, V. Grumezescu, A. M. Grumezescu, R. I. Teleanu, Nanomaterials for Drug Delivery to the Central Nervous System, Nanomaterials, 9 (2019), 371.
  • 6. A. Zaman, N. Ali, M. Sajjad, Effects of nanoparticles (Cu, TiO2, Al2O3) on unsteady blood flow through a curved overlapping stenosed channel, Math. Comput. Simul., 156 (2019), 279-293.
  • 7. K. M. Prasad, T. Sudha, A Mathematical Approach to Study the Blood Flow Through Stenosed Artery with Suspension of nanoparticles, in Numerical Heat Transfer and Fluid Flow, Springer, (2019), 193-202.
  • 8. R. L. Hewlin, A. Ciero, J. P. Kizito, Development of a Two-Way Coupled Eulerian-Lagrangian Computational Magnetic Nanoparticle Targeting Model for Pulsatile Flow in a Patient-Specific Diseased Left Carotid Bifurcation Artery, Cardiovasc. Eng. Technol., 10 (2019), 299-313.
  • 9. F. Campbell, F. L. Bos, S. Sieber, G. Arias-Alpizar, B. E. Koch, J. Huwyler, et al., Directing nanoparticle Biodistribution through Evasion and Exploitation of Stab2-Dependent Nanoparticle Uptake, ACS Nano, 12 (2018), 2138-2150.    
  • 10. V. Hamdipoor, M. R. Afzal, T. A. Le, J. Yoon, Haptic-Based Manipulation Scheme of Magnetic nanoparticles in a Multi-Branch Blood Vessel for Targeted Drug Delivery, Micromachines, 9 (2018), 14.
  • 11. K. B. Johnsen, M. Bak, P. J. Kempen, F. Melander, A. Burkhart, M. S. Thomsen, et al., A antibody affinity and valency impact brain uptake of transferrin receptor-targeted gold nanoparticles, Theranostics, 8 (2018), 3416.
  • 12. H. Ye, Z. Shen, L. Yu, M. Wei, Y. Li, Manipulating nanoparticle transport within blood flow through external forces: An exemplar of mechanics in nanomedicine, Proc. R. Soc. A, 474 (2018), 20170845.
  • 13. W. Wicke, A. Ahmadzadeh, V. Jamali, H. Unterweger, C. Alexiou, R. Schober, Magnetic nanoparticle-Based Molecular Communication in Microfluidic Environments, IEEE Trans. NanoBioscience, 18 (2019), 156-169.
  • 14. F. N. Dultsev, E. A. Kolosovsky, Identifying a single biological nano-sized particle using a quartz crystal microbalance. A mathematical model, Sens. Actuators B, 143 (2009), 17-24.
  • 15. A. D. Polyanin, W. E. Schiesser, A. I. Zhurov, Partial differential equation, Scholarpedia, 3 (2008), 4605.
  • 16. R. Selyanchyn, S. Wakamatsu, K. Hayashi, S. W. Lee, A nano-thin film-based prototype QCM sensor array for monitoring human breath and respiratory patterns, Sensors, 15 (2015), 18834-18850.

 

Reader Comments

your name: *   your email: *  

© 2020 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution Licese (http://creativecommons.org/licenses/by/4.0)

Download full text in PDF

Export Citation

Copyright © AIMS Press All Rights Reserved