Publication | Open Access
Correction: Corrigendum: Effect of magnetic dipolar interactions on nanoparticle heating efficiency: Implications for cancer hyperthermia
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2014
Year
NanoparticlesMagnetic PropertiesEngineeringNanowiresPolymer-based MagnetMagnetic ResonanceThermal TherapyBiomedical EngineeringNanostructured Magnetic SystemsFerrofluidNanomedicineMagnetismHyperthermiaChain LengthMagnetohydrodynamicsThermodynamicsRadiation OncologyBiophysicsNanotechnologyMagnetic HyperthermiaMagnetic Dipolar InteractionsMagnetic MaterialCancer HyperthermiaMolecule-based MagnetNanomaterialsMedicine
Nanostructured magnetic systems can heat in alternating magnetic fields, making them promising for cancer therapy. The study investigates how particle chain formation affects the specific loss power of low‑ and high‑anisotropy ferrite magnetic fluids and proposes a dipole‑interaction model to explain the trends. The authors develop a theoretical dipole‑interaction model valid in the linear response regime to explain the observed trends. FMR analysis and Monte Carlo simulations show that higher particle concentrations and longer chains reduce specific loss power, while the model predicts that optimal particle sizes for hyperthermia are about 30 % smaller than previously thought and that optimal chain lengths depend on surface‑to‑surface distance, suggesting new strategies to improve cancer hyperthermia.
Nanostructured magnetic systems have many applications, including potential use in cancer therapy deriving from their ability to heat in alternating magnetic fields. In this work we explore the influence of particle chain formation on the normalized heating properties, or specific loss power (SLP) of both low- (spherical) and high- (parallelepiped) anisotropy ferrite-based magnetic fluids. Analysis of ferromagnetic resonance (FMR) data shows that high particle concentrations correlate with increasing chain length producing decreasing SLP. Monte Carlo simulations corroborate the FMR results. We propose a theoretical model describing dipole interactions valid for the linear response regime to explain the observed trends. This model predicts optimum particle sizes for hyperthermia to about 30% smaller than those previously predicted, depending on the nanoparticle parameters and chain size. Also, optimum chain lengths depended on nanoparticle surface-to-surface distance. Our results might have important implications to cancer treatment and could motivate new strategies to optimize magnetic hyperthermia.