Dynamic analysis of fluid flow and selection of optimal nanoparticles for a geometry with 50% blockage

Document Type : Original Article

Authors

1 Associate Professor, Imam Ali University (AS), Tehran, Iran.

2 Master's degree, Sharif University of Technology, Tehran, Iran.

3 Ph.D., Imam Ali University (AS), Tehran, Iran.

4 Assistant Professor, Imam Ali University (AS), Tehran, Iran.

Abstract

Fluid transfer pipes play a key role in connecting different components of fluid systems, especially within the human body's circulatory system. Blockage of the carotid arteries, the primary blood vessels carrying blood from the heart to the brain, is a leading cause of stroke. Therefore, treating carotid artery blockages represents a significant stride in stroke prevention and the enhancement of brain and body function. The most contemporary approach for delivering drugs precisely to damaged arterial regions involves the use of nanoparticles that are fine-tuned in terms of both size and quantity. In this study, a geometry with 50% occlusion is utilized to examine the optimal nanoparticles. Following simulations of fluid flow in the damaged areas and the selection of Fe3O4@MOF nanoparticles with an appropriate surface ligand as a targeted drug carrier, in sizes ranging from 100 to 1000 nm, and with injection numbers of 100, 300, and 500 particles per cycle, the nanoparticle simulations are conducted. Ultimately, the results indicate that particles measuring 100 nm in size, with an injection number of 300 particles per cycle, exhibit the highest degree of adhesion to the target area. Additionally, particles sized at 800 nm, injected at a rate of 100 particles per cycle, demonstrate superior surface and volume drug transfer capabilities. Optimizing the quantity of injected particles notably reduces costs and mitigates potential side effects

Keywords

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https://creativecommons.org/licenses/by/4.0/

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Fluid Mechanics & Aerodynamics
Volume 12, Issue 2 - Serial Number 32
Autumn and winter 2023
March 2024
Pages 13-31

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History

  • Receive Date: 14 July 2023
  • Revise Date: 11 December 2023
  • Accept Date: 08 January 2024
  • Publish Date: 19 February 2024

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