Literature DB >> 28397910

Unraveling viscosity effects on the hysteresis losses of magnetic nanocubes.

D Cabrera1, A Lak, T Yoshida, M E Materia, D Ortega, F Ludwig, P Guardia, A Sathya, T Pellegrino, F J Teran.   

Abstract

Hysteresis losses in magnetic nanoparticles constitute the basis of magnetic hyperthermia for delivering a local thermal stress. Nevertheless, this therapeutic modality is only to be realised through a careful appraisal of the best possible intrinsic and extrinsic conditions to the nanoparticles for which they maximise and preserve their heating capabilities. Low frequency (100 kHz) hysteresis loops accurately probe the dynamical magnetic response of magnetic nanoparticles in a more reliable manner than calorimetry measurements, providing conclusive quantitative data under different experimental conditions. We consider here a set of iron oxide or cobalt ferrite nanocubes of different sizes, through which we experimentally and theoretically study the influence of the viscosity of the medium on the low frequency hysteresis loops of magnetic colloids, and hence their ability to produce and dissipate heat to the surroundings. We analyse the role of nanoparticle size, size distribution, chemical composition, and field intensity in making the magnetisation dynamics sensitive to viscosity. Numerical simulations using the stochastic Landau-Lifshitz-Gilbert equation model the experimental observations in excellent agreement. These results represent an important contribution towards predicting viscosity effects and hence to maximise heat dissipation from magnetic nanoparticles regardless of the environment.

Entities:  

Year:  2017        PMID: 28397910     DOI: 10.1039/c7nr00810d

Source DB:  PubMed          Journal:  Nanoscale        ISSN: 2040-3364            Impact factor:   7.790


  8 in total

1.  Whither Magnetic Hyperthermia? A Tentative Roadmap.

Authors:  Irene Rubia-Rodríguez; Antonio Santana-Otero; Simo Spassov; Etelka Tombácz; Christer Johansson; Patricia De La Presa; Francisco J Teran; María Del Puerto Morales; Sabino Veintemillas-Verdaguer; Nguyen T K Thanh; Maximilian O Besenhard; Claire Wilhelm; Florence Gazeau; Quentin Harmer; Eric Mayes; Bella B Manshian; Stefaan J Soenen; Yuanyu Gu; Ángel Millán; Eleni K Efthimiadou; Jeff Gaudet; Patrick Goodwill; James Mansfield; Uwe Steinhoff; James Wells; Frank Wiekhorst; Daniel Ortega
Journal:  Materials (Basel)       Date:  2021-02-03       Impact factor: 3.623

2.  Interplay of cell death signaling pathways mediated by alternating magnetic field gradient.

Authors:  De Wei Wong; Wei Liang Gan; Yuan Kai Teo; Wen Siang Lew
Journal:  Cell Death Discov       Date:  2018-04-27

3.  The relevance of Brownian relaxation as power absorption mechanism in Magnetic Hyperthermia.

Authors:  Teobaldo E Torres; Enio Lima; M Pilar Calatayud; Beatriz Sanz; Alfonso Ibarra; Rodrigo Fernández-Pacheco; Alvaro Mayoral; Clara Marquina; M Ricardo Ibarra; Gerardo F Goya
Journal:  Sci Rep       Date:  2019-03-08       Impact factor: 4.379

4.  Influence of shape, size and magnetostatic interactions on the hyperthermia properties of permalloy nanostructures.

Authors:  Riccardo Ferrero; Alessandra Manzin; Gabriele Barrera; Federica Celegato; Marco Coïsson; Paola Tiberto
Journal:  Sci Rep       Date:  2019-04-29       Impact factor: 4.379

5.  Dynamics of superparamagnetic nanoparticles in viscous liquids in rotating magnetic fields.

Authors:  Nikolai A Usov; Ruslan A Rytov; Vasiliy A Bautin
Journal:  Beilstein J Nanotechnol       Date:  2019-11-22       Impact factor: 3.649

6.  Heating Efficiency of Triple Vortex State Cylindrical Magnetic Nanoparticles.

Authors:  De Wei Wong; Wei Liang Gan; Yuan Kai Teo; Wen Siang Lew
Journal:  Nanoscale Res Lett       Date:  2019-12-16       Impact factor: 4.703

Review 7.  Embracing Defects and Disorder in Magnetic Nanoparticles.

Authors:  Aidin Lak; Sabrina Disch; Philipp Bender
Journal:  Adv Sci (Weinh)       Date:  2021-02-15       Impact factor: 16.806

8.  Reliable evaluation method of heating power of magnetic nanofluids to directly predict the tumor temperature during hyperthermia.

Authors:  Ji-Wook Kim; Seongtae Bae
Journal:  Sci Rep       Date:  2021-11-11       Impact factor: 4.379

  8 in total

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