Practical methods for generating alternating magnetic fields for biomedical research
Name
RSINAK-000088-084301_1.pdf
Description
Published version
Size
32.02 MB
Format
Adobe PDF
Checksum (MD5)
5b9019c84f0ea3999c9c23ff32c2c247
Author(s)
Christiansen, Michael Gary
Bono, David C
Perreault, David J.
Anikeeva, Polina Olegovna
Date Issued
August 2017
Journal
Review of scientific instruments
Publisher
AIP Publishing
Citation
Christiansen, Michael G., Christina M. Howe, David C. Bono, David Perreault and Polina Anikeeva. "Practical methods for generating alternating magnetic fields for biomedical research. Review of scientific instruments 88, 8 (August 2017) 084301 © 2017 Author(s).
Version
Final published version
Abstract
Alternating magnetic fields (AMFs) cause magnetic nanoparticles (MNPs) to dissipate heat while leaving surrounding tissue unharmed, a mechanism that serves as the basis for a variety of emerging biomedical technologies. Unfortunately, the challenges and costs of developing experimental setups commonly used to produce AMFs with suitable field amplitudes and frequencies present a barrier to researchers. This paper first presents a simple, cost-effective, and robust alternative for small AMF working volumes that uses soft ferromagnetic cores to focus the flux into a gap. As the experimental length scale increases to accommodate animal models (working volumes of 100s of cm3 or greater), poor thermal conductivity and volumetrically scaled core losses render that strategy ineffective. Comparatively feasible strategies for these larger volumes instead use low loss resonant tank circuits to generate circulating currents of 1 kA or greater in order to produce the comparable field amplitudes. These principles can be extended to the problem of identifying practical routes for scaling AMF setups to humans, an infrequently acknowledged challenge that influences the extent to which many applications of MNPs may ever become clinically relevant.
MIT Department
Massachusetts Institute of Technology. Department of Materials Science and Engineering
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Massachusetts Institute of Technology. Research Laboratory of Electronics
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1063/1.4999358
