About the influence of the colloidal magnetic nanoparticles coating on the specific loss power in magnetic hyperthermia

• Published in: Journal of magnetism and magnetic materials 2021-02, Vol.519, p.167451, Article 167451
• Main Authors: Osaci, Mihaela, Cacciola, Matteo
• Format: Article
• Language: English
• Subjects: Agglomeration; Algorithms; Biocompatibility; Blood vessels; Coating; Colloid; Colloids; Computer simulation; Fever; Hyperthermia; Langevin dynamics; Magnetic fluids; Magnetic hyperthermia; Magnetic induction; Magnetic relaxation; Mathematical models; Nanoparticles; Nanoparticles coating; Relaxation time; Specific loss power
• ISSN: 0304-8853; 1873-4766
• DOI: 10.1016/j.jmmm.2020.167451

[Display omitted] •Simulation of the nanoparticle coating influence on the heat generation by magnetic.•Simulation of the self-organisation of colloidal nanoparticles.•Simulation of the Néel magnetic relaxation time for interacting magnetic nanoparticles.•The effective magnetic relaxation time is used in the specific loss power (SLP). The current magnetic hyperthermia with nanoparticles is a method of destroying cancer cells, increasingly studied theoretically and experimentally. The colloidal magnetic nanoparticle systems used in this method have a pronounced agglomeration tendency that leads to the blocking of blood vessels in the case of intravenous administration of the nanoparticles. For nanoparticle dispersion stability and biocompatibility, the particles are covered with an organic layer. The influence of nanoparticle coating on the generation of heat by magnetic hyperthermia is very little studied. In this paper, we theoretically study, by numerical simulation, the way in which the nanoparticle coating affects the agglomeration tendency of the nanoparticles, as well as the specific loss power which characterises the nanoparticle performance in the generation of heat by magnetic hyperthermia. For this purpose, we propose a theoretical model. The self-organisation of colloidal nanoparticles will be simulated using a Langevin dynamics stochastic method based on an effective Verlet-type algorithm, then the magnetic relaxation time used in the specific loss power (SLP) relation, obtained based on the theory of magnetic fluid losses from Rosensweig.