Hoshiar, AK, Le, T-A, Valdastri, P orcid.org/0000-0002-2280-5438 et al. (1 more author) (2020) Swarm of Magnetic Nanoparticles Steering in Multi-Bifurcation Vessels under Fluid Flow. Journal of Micro-Bio Robotics, 16. pp. 137-145. ISSN 2194-6418
Abstract
Magnetic drug targeting has emerged as a promising approach for enhancing the efficiency of drug delivery. Recent developments in real-time monitoring techniques have enabled the guidance of magnetic nanoparticles (MNPs) in the vascular network. Despite recent developments in magnetic navigation, no comprehensive strategy for swarm of nanoparticles steering under fluid flow exists. This paper introduces a strategy for MNPs steering in a vascular network under fluid flow. In the proposed scheme, the swarm of nanoparticles are initially guided to an area that guarantees their successful guidance towards a desired direction (called safe zone) using an asymmetrical field function to handle swarm of nanoparticles. Then, a transporter field function is used to transfer the particles between the safe zones, and finally a sustainer field function is used to keep the particles within the safe zone. A steering algorithm is proposed to enhance the targeting performance in the multi-bifurcation vessel. Utilizing the proposed concept, a high success rate for targeting is achieved in simulations, which demonstrates the potential and limitations of swarm of nanoparticles steering under fluid flow.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Springer-Verlag GmbH Germany, part of Springer Nature 2020. This is an author produced version of a paper published in Journal of Micro-Bio Robotics. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Swarm Magnetic nanoparticles Electromagnetic actuation Blood vessels Targeted drug delivery |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds) |
Funding Information: | Funder Grant number Royal Society wm150122 |
Depositing User: | Symplectic Publications |
Date Deposited: | 05 Feb 2020 15:55 |
Last Modified: | 03 Feb 2021 01:38 |
Status: | Published |
Publisher: | Springer Nature |
Identification Number: | 10.1007/s12213-020-00127-2 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:156365 |