Predicting the Dominant Role of Dense Aggregates in Magnetic Hyperthermia via Intracellular-Mimetic Nanoparticle Models

dc.contributor.affiliationUniversidade de Santiago de Compostela. Instituto de Materiais (iMATUS)
dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Bioquímica e Bioloxía Molecular
dc.contributor.authorGarcía Acevedo, Pelayo
dc.contributor.authorPaz Castro, Alba
dc.contributor.authorEstébanez Pisonero del Pozo, Jorge
dc.contributor.authorPiñeiro Redondo, Yolanda
dc.contributor.authorRivas Rey, José
dc.date.accessioned2025-11-05T08:12:20Z
dc.date.available2025-11-05T08:12:20Z
dc.date.issued2025-08-29
dc.description.abstractDense aggregation of magnetic nanoparticles (MNPs) in cellular environments is a major contributor to reduced magnetic hyperthermia (MH) efficiency; however, in situ magnetic characterization remains challenging, necessitating reliable extracellular models to predict such behavior. In this study, soft and dense aggregates (≈200 nm) are engineered using 10 nm iron oxide MNPs, encapsulated in polymeric (soft) or inorganic (dense) shells, with morphological features and strong magnetic dipolar interactions confirming their similarity to nanoparticle assemblies found in living cells. Unlike previous studies that induced aggregation by modifying the surrounding medium, the approach enables controlled, invariant aggregation states, allowing systematic evaluation of the transition from soft to dense aggregation under both aqueous and high-viscosity, cell-mimicking conditions. Results demonstrate that dense aggregation leads to a >20% reduction in specific absorption rate (SAR), primarily due to decreased remanent magnetization (MR), highlighting the critical role of aggregate structure. Viscosity is found to have a non-negligible effect once MNPs are aggregated, suggesting dominant Néel relaxation modulated by dipolar interactions. A strong SAR–MR correlation is observed, while SAR–coercivity (HC) dependence is disrupted by aggregation. These findings offer new insights for optimizing MH efficiency and guiding the design of magnetic nanoactuators for MH therapy.
dc.description.peerreviewedSI
dc.description.sponsorshipP.G.-A. thanks to Axencia Galega de Innovación (Spain) for his Posdoctoral Grant (Axudas de apoio á etapa de formación posdoutoral - IN606B-2024.1). This work was partially funded by Project PLEC2022-009217, within the framework of the State Plan for Scientific, Technical, and Innovation Research 2021–2023 and the Recovery, Transformation, and Resilience Plan of the Spanish Ministry of Science, Innovation, and Universities.
dc.identifier.citationReferences García-Acevedo, P., Paz-Castro, A., Estébanez, J., Piñeiro, Y., & Rivas, J. (2025). Predicting the Dominant Role of Dense Aggregates in Magnetic Hyperthermia via Intracellular-Mimetic Nanoparticle Models. Small, 21(41), e06620. 10.1002/smll.202506620
dc.identifier.doi10.1002/smll.202506620
dc.identifier.issn1613-6810
dc.identifier.urihttps://hdl.handle.net/10347/43548
dc.issue.number41
dc.journal.titleSmall
dc.language.isoeng
dc.page.final14
dc.page.initial1
dc.publisherWiley
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PLEC2022-009217/ES/
dc.relation.publisherversionhttps://doi.org/10.1002/smll.202506620
dc.rights© 2025 The Author(s). Small published by Wiley-VCH GmbH. This is anopen access article under the terms of the Creative Commons AttributionLicense, which permits use, distribution and reproduction in anymedium, provided the original work is properly cited.
dc.rightsAttribution 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectAggregation effects
dc.subjectMagnetic hyperthermia
dc.subjectMagnetic interactions
dc.subjectMagnetic nanoparticles
dc.titlePredicting the Dominant Role of Dense Aggregates in Magnetic Hyperthermia via Intracellular-Mimetic Nanoparticle Models
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number21
dspace.entity.typePublication
relation.isAuthorOfPublication04341b4a-d49c-44c0-bfeb-b646dc286ddc
relation.isAuthorOfPublicationb93d54f0-7941-4717-887f-1ef5ca4c6a17
relation.isAuthorOfPublication.latestForDiscovery04341b4a-d49c-44c0-bfeb-b646dc286ddc

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