Experimental estimation and analysis of variance of the measured loss power of magnetic nanoparticles

Abstract Magnetic nanoparticles dissipate heat when exposed to alternating magnetic fields (AMFs), making them suitable for cancer hyperthermia. Therapeutic heating applications demand accurate characterization of the heating power dissipated by the particles. Specific loss power (SLP) generated by...

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Autores principales: Frederik Soetaert, Sri Kamal Kandala, Andris Bakuzis, Robert Ivkov
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Publicado: Nature Portfolio 2017
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spelling oai:doaj.org-article:29d1a107e539435e8a1bf74557a805aa2021-12-02T12:32:17ZExperimental estimation and analysis of variance of the measured loss power of magnetic nanoparticles10.1038/s41598-017-07088-w2045-2322https://doaj.org/article/29d1a107e539435e8a1bf74557a805aa2017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-07088-whttps://doaj.org/toc/2045-2322Abstract Magnetic nanoparticles dissipate heat when exposed to alternating magnetic fields (AMFs), making them suitable for cancer hyperthermia. Therapeutic heating applications demand accurate characterization of the heating power dissipated by the particles. Specific loss power (SLP) generated by magnetic nanoparticles is estimated from calorimetric heating measurements. Such measurements require adiabatic conditions, yet they are typically performed in an AMF device with non-adiabatic conditions. We have measured heating from four magnetic nanoparticle constructs using a range of frequencies (150–375 kHz) and magnetic fields (4–44 kA/m). We have extended a method developed to estimate SLP from the inherently non-adiabatic measurements, where we identify data ranges that conform to (quasi)-adiabatic conditions. Each time interval of measurement that met a predetermined criterion was used to generate a value of SLP, and the mean from all estimates was selected as the estimated SLP. Despite the application of rigorous selection criteria, measured temperature data displayed variability at specific heating loads resulting in larger variance of calculated mean SLP values. Overall, the results show a linear dependence of the SLP with AMF frequency, as anticipated by current models. Conversely, measured amplitude-dependent SLP profiles of all studied constructs conform to no predictions of current models.Frederik SoetaertSri Kamal KandalaAndris BakuzisRobert IvkovNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-15 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Frederik Soetaert
Sri Kamal Kandala
Andris Bakuzis
Robert Ivkov
Experimental estimation and analysis of variance of the measured loss power of magnetic nanoparticles
description Abstract Magnetic nanoparticles dissipate heat when exposed to alternating magnetic fields (AMFs), making them suitable for cancer hyperthermia. Therapeutic heating applications demand accurate characterization of the heating power dissipated by the particles. Specific loss power (SLP) generated by magnetic nanoparticles is estimated from calorimetric heating measurements. Such measurements require adiabatic conditions, yet they are typically performed in an AMF device with non-adiabatic conditions. We have measured heating from four magnetic nanoparticle constructs using a range of frequencies (150–375 kHz) and magnetic fields (4–44 kA/m). We have extended a method developed to estimate SLP from the inherently non-adiabatic measurements, where we identify data ranges that conform to (quasi)-adiabatic conditions. Each time interval of measurement that met a predetermined criterion was used to generate a value of SLP, and the mean from all estimates was selected as the estimated SLP. Despite the application of rigorous selection criteria, measured temperature data displayed variability at specific heating loads resulting in larger variance of calculated mean SLP values. Overall, the results show a linear dependence of the SLP with AMF frequency, as anticipated by current models. Conversely, measured amplitude-dependent SLP profiles of all studied constructs conform to no predictions of current models.
format article
author Frederik Soetaert
Sri Kamal Kandala
Andris Bakuzis
Robert Ivkov
author_facet Frederik Soetaert
Sri Kamal Kandala
Andris Bakuzis
Robert Ivkov
author_sort Frederik Soetaert
title Experimental estimation and analysis of variance of the measured loss power of magnetic nanoparticles
title_short Experimental estimation and analysis of variance of the measured loss power of magnetic nanoparticles
title_full Experimental estimation and analysis of variance of the measured loss power of magnetic nanoparticles
title_fullStr Experimental estimation and analysis of variance of the measured loss power of magnetic nanoparticles
title_full_unstemmed Experimental estimation and analysis of variance of the measured loss power of magnetic nanoparticles
title_sort experimental estimation and analysis of variance of the measured loss power of magnetic nanoparticles
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/29d1a107e539435e8a1bf74557a805aa
work_keys_str_mv AT frederiksoetaert experimentalestimationandanalysisofvarianceofthemeasuredlosspowerofmagneticnanoparticles
AT srikamalkandala experimentalestimationandanalysisofvarianceofthemeasuredlosspowerofmagneticnanoparticles
AT andrisbakuzis experimentalestimationandanalysisofvarianceofthemeasuredlosspowerofmagneticnanoparticles
AT robertivkov experimentalestimationandanalysisofvarianceofthemeasuredlosspowerofmagneticnanoparticles
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