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Cited by 539

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Learning from Nature to Improve the Heat Generation of Iron-Oxide Nanoparticles for Magnetic Hyperthermia Applications

Open access
Martinez-Boubeta, Carlos, Simeonidis, Konstantinos, Makridis, Antonios, Angelakeris, Makis, Iglesias, Oscar, Guardia, Pablo, Cabot, Andreu, Yedra, Lluis, Estradé, Sonia, Peiró, Francesca, Saghi, Zineb, Midgley, Paul A., Conde-Leborán, Iván, Serantes, David, Baldomir, Daniel·2013·Scientific Reports

Abstract

The performance of magnetic nanoparticles is intimately entwined with their structure, mean size and magnetic anisotropy. Besides, ensembles offer a unique way of engineering the magnetic response by modifying the strength of the dipolar interactions between particles. Here we report on an experimental and theoretical analysis of magnetic hyperthermia, a rapidly developing technique in medical research and oncology. Experimentally, we demonstrate that single-domain cubic iron oxide particles resembling bacterial magnetosomes have superior magnetic heating efficiency compared to spherical particles of similar sizes. Monte Carlo simulations at the atomic level corroborate the larger anisotropy of the cubic particles in comparison with the spherical ones, thus evidencing the beneficial role of surface anisotropy in the improved heating power. Moreover we establish a quantitative link between the particle assembling, the interactions and the heating properties. This knowledge opens new perspectives for improved hyperthermia, an alternative to conventional cancer therapies.

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Metadata

Authors
Martinez-Boubeta, C., Simeonidis, K., Makridis, A., Angelakeris, M., Iglesias, O., Guardia, P., Cabot, A., Yedra, L., Estradé, S., Peiró, F., Saghi, Z., Midgley, P. A., Conde-Leborán, I., Serantes, D., & Baldomir, D.
Venue
Scientific Reports
Published
2013-04-11
Volume
3
Issue
1
Pages
1652-1652
ISSN
2045-2322 (ISSN-L)
OpenAlex
W1990396565
Cited by
539
References
1
FWCI
19.31
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Learning from Nature to Improve the Heat Generation of Iron-Oxide Nanoparticles for Magnetic Hyperthermia Applications. https://app.cochat.ai/papers/10.1038/srep01652
The paper
Martinez-Boubeta, C., Simeonidis, K., Makridis, A., Angelakeris, M., Iglesias, O., Guardia, P., Cabot, A., Yedra, L., Estradé, S., Peiró, F., Saghi, Z., Midgley, P. A., Conde-Leborán, I., Serantes, D., & Baldomir, D. (2013). Learning from Nature to Improve the Heat Generation of Iron-Oxide Nanoparticles for Magnetic Hyperthermia Applications. Scientific Reports. https://doi.org/10.1038/srep01652

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.