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Optimized shapes of magnetic arrays for drug targeting applications

Optimized shapes of magnetic arrays for drug targeting applications
Optimized shapes of magnetic arrays for drug targeting applications
Arrays of permanent magnet elements have been utilized as light-weight, inexpensive sources for applying external magnetic fields in magnetic drug targeting applications, but they are extremely limited in the range of depths over which they can apply useful magnetic forces. In this paper, designs for optimized magnet arrays are presented, which were generated using an optimization routine to maximize the magnetic force available from an arbitrary arrangement of magnetized elements, depending on a set of design parameters including the depth of targeting (up to 50mm from the magnet) and direction of force required. A method for assembling arrays in practice is considered, quantifying the difficulty of assembly and suggesting a means for easing this difficulty without a significant compromise to the applied field or force. Finite element simulations of in vitro magnetic retention experiments were run to demonstrate the capability of a subset of arrays to retain magnetic microparticles against flow. The results suggest that, depending on the choice of array, a useful proportion of particles (more than 10%) could be retained at flow velocities up to 100 mm/s or to depths as far as 50mm from the magnet. Finally, the optimization routine was used to generate a design for a Halbach array optimized to deliver magnetic force to a depth of 50mm inside the brain.
magnetic drug targeting, Halbach array design, optimization, magnetic nanoparticle, permanent magnet flux source, targeted drug delivery
0022-3727
225501-225517
Barnsley, Lester C.
da7b9324-6305-4b35-8e4e-0f4a6410aa25
Carugo, Dario
0a4be6cd-e309-4ed8-a620-20256ce01179
Stride, Eleanor
c0143e95-81fa-47c8-b9bc-5b4fc319bba6
Barnsley, Lester C.
da7b9324-6305-4b35-8e4e-0f4a6410aa25
Carugo, Dario
0a4be6cd-e309-4ed8-a620-20256ce01179
Stride, Eleanor
c0143e95-81fa-47c8-b9bc-5b4fc319bba6

Barnsley, Lester C., Carugo, Dario and Stride, Eleanor (2016) Optimized shapes of magnetic arrays for drug targeting applications. Journal of Physics D: Applied Physics, 49 (22), 225501-225517. (doi:10.1088/0022-3727/49/22/225501).

Record type: Article

Abstract

Arrays of permanent magnet elements have been utilized as light-weight, inexpensive sources for applying external magnetic fields in magnetic drug targeting applications, but they are extremely limited in the range of depths over which they can apply useful magnetic forces. In this paper, designs for optimized magnet arrays are presented, which were generated using an optimization routine to maximize the magnetic force available from an arbitrary arrangement of magnetized elements, depending on a set of design parameters including the depth of targeting (up to 50mm from the magnet) and direction of force required. A method for assembling arrays in practice is considered, quantifying the difficulty of assembly and suggesting a means for easing this difficulty without a significant compromise to the applied field or force. Finite element simulations of in vitro magnetic retention experiments were run to demonstrate the capability of a subset of arrays to retain magnetic microparticles against flow. The results suggest that, depending on the choice of array, a useful proportion of particles (more than 10%) could be retained at flow velocities up to 100 mm/s or to depths as far as 50mm from the magnet. Finally, the optimization routine was used to generate a design for a Halbach array optimized to deliver magnetic force to a depth of 50mm inside the brain.

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L Barnsley - JPhysD Appl Phys - 2016.pdf - Version of Record
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More information

Accepted/In Press date: 6 April 2016
e-pub ahead of print date: 4 May 2016
Published date: 4 May 2016
Keywords: magnetic drug targeting, Halbach array design, optimization, magnetic nanoparticle, permanent magnet flux source, targeted drug delivery
Organisations: Bioengineering Group, Mechatronics

Identifiers

Local EPrints ID: 393979
URI: https://eprints.soton.ac.uk/id/eprint/393979
ISSN: 0022-3727
PURE UUID: dc65cc28-74a4-48aa-adbb-8c7ab578eb15

Catalogue record

Date deposited: 09 May 2016 13:33
Last modified: 14 Aug 2019 18:20

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