Predicting the Dominant Role of Dense Aggregates in Magnetic Hyperthermia via Intracellular-Mimetic Nanoparticle Models
Loading...
Identifiers
Publication date
Advisors
Tutors
Editors
Journal Title
Journal ISSN
Volume Title
Publisher
Wiley
Abstract
Dense 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.
Description
Bibliographic citation
References 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
Relation
Has part
Has version
Is based on
Is part of
Is referenced by
Is version of
Requires
Publisher version
https://doi.org/10.1002/smll.202506620Sponsors
P.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.
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.
Attribution 4.0 International
Attribution 4.0 International








