Kafash Hoshiar, Ali and Le, Tuan-Anh and Amin, Faiz Ul and Kim, Myeong Ok and Yoon, Jungwon (2017) Studies of aggregated nanoparticles steering during magnetic-guided drug delivery in the blood vessels. Journal of Magnetism and Magnetic Materials, 427. pp. 181-187. DOI https://doi.org/10.1016/j.jmmm.2016.11.016
Kafash Hoshiar, Ali and Le, Tuan-Anh and Amin, Faiz Ul and Kim, Myeong Ok and Yoon, Jungwon (2017) Studies of aggregated nanoparticles steering during magnetic-guided drug delivery in the blood vessels. Journal of Magnetism and Magnetic Materials, 427. pp. 181-187. DOI https://doi.org/10.1016/j.jmmm.2016.11.016
Kafash Hoshiar, Ali and Le, Tuan-Anh and Amin, Faiz Ul and Kim, Myeong Ok and Yoon, Jungwon (2017) Studies of aggregated nanoparticles steering during magnetic-guided drug delivery in the blood vessels. Journal of Magnetism and Magnetic Materials, 427. pp. 181-187. DOI https://doi.org/10.1016/j.jmmm.2016.11.016
Abstract
Magnetic-guided targeted drug delivery (TDD) systems can enhance the treatment of diverse diseases. Despite the potential and promising results of nanoparticles, aggregation prevents precise particle guidance in the vasculature. In this study, we developed a simulation platform to investigate aggregation during steering of nanoparticles using a magnetic field function. The magnetic field function (MFF) comprises a positive and negative pulsed magnetic field generated by electromagnetic coils, which prevents adherence of particles to the vessel wall during magnetic guidance. A commonly used Y-shaped vessel was simulated and the performance of the MFF analyzed; the experimental data were in agreement with the simulation results. Moreover, the effects of various parameters on magnetic guidance were evaluated and the most influential identified. The simulation results presented herein will facilitate more precise guidance of nanoparticles in vivo.
Item Type: | Article |
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Uncontrolled Keywords: | Targeted drug delivery (TDD); Nanorobotic; Aggregation; Magnetic Nanoparticles |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 13 Feb 2020 10:23 |
Last Modified: | 30 Oct 2024 19:37 |
URI: | http://repository.essex.ac.uk/id/eprint/25512 |
Available files
Filename: JMMM-Hoshiar1.pdf
Licence: Creative Commons: Attribution-Noncommercial-No Derivative Works 3.0