Particokinetics: computational analysis of the superparamagnetic iron oxide nanoparticles deposition process

Walter HZ C&aacute;rdenas, Javier B Mamani, Tatiana T Sibov, Cristofer A Caous, Edson Amaro Jr, Lionel F GamarraInstituto do C&eacute;rebro, Hospital Israelita Albert Einstein, S&atilde;o Paulo, BrazilBackground: Nanoparticles in suspension are often utilized for intracellula...

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Autores principales:	C&aacute;rdenas WH, Mamani JB, Sibov TT, Caous CA, Amaro Jr E, Gamarra LF
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2012
Materias:	Medicine (General) R5-920
Acceso en línea:	https://doaj.org/article/58b2ed958f0f4077b5a62911cda70a66
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spelling	oai:doaj.org-article:58b2ed958f0f4077b5a62911cda70a662021-12-02T01:08:06ZParticokinetics: computational analysis of the superparamagnetic iron oxide nanoparticles deposition process1176-91141178-2013https://doaj.org/article/58b2ed958f0f4077b5a62911cda70a662012-06-01T00:00:00Zhttp://www.dovepress.com/particokinetics-computational-analysis-of-the-superparamagnetic-iron-o-a10026https://doaj.org/toc/1176-9114https://doaj.org/toc/1178-2013Walter HZ C&aacute;rdenas, Javier B Mamani, Tatiana T Sibov, Cristofer A Caous, Edson Amaro Jr, Lionel F GamarraInstituto do C&eacute;rebro, Hospital Israelita Albert Einstein, S&atilde;o Paulo, BrazilBackground: Nanoparticles in suspension are often utilized for intracellular labeling and evaluation of toxicity in experiments conducted in vitro. The purpose of this study was to undertake a computational modeling analysis of the deposition kinetics of a magnetite nanoparticle agglomerate in cell culture medium.Methods: Finite difference methods and the Crank-Nicolson algorithm were used to solve the equation of mass transport in order to analyze concentration profiles and dose deposition. Theoretical data were confirmed by experimental magnetic resonance imaging.Results: Different behavior in the dose fraction deposited was found for magnetic nanoparticles up to 50 nm in diameter when compared with magnetic nanoparticles of a larger diameter. Small changes in the dispersion factor cause variations of up to 22% in the dose deposited. The experimental data confirmed the theoretical results.Conclusion: These findings are important in planning for nanomaterial absorption, because they provide valuable information for efficient intracellular labeling and control toxicity. This model enables determination of the in vitro transport behavior of specific magnetic nanoparticles, which is also relevant to other models that use cellular components and particle absorption processes.Keywords: magnetite, nanoparticles, diffusion, sedimentation, agglomerates, computational modeling, cellular labeling, magnetic resonance imagingC&aacute;rdenas WHMamani JBSibov TTCaous CAAmaro Jr EGamarra LFDove Medical PressarticleMedicine (General)R5-920ENInternational Journal of Nanomedicine, Vol 2012, Iss default, Pp 2699-2712 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine (General) R5-920
spellingShingle	Medicine (General) R5-920 C&aacute;rdenas WH Mamani JB Sibov TT Caous CA Amaro Jr E Gamarra LF Particokinetics: computational analysis of the superparamagnetic iron oxide nanoparticles deposition process
description	Walter HZ C&aacute;rdenas, Javier B Mamani, Tatiana T Sibov, Cristofer A Caous, Edson Amaro Jr, Lionel F GamarraInstituto do C&eacute;rebro, Hospital Israelita Albert Einstein, S&atilde;o Paulo, BrazilBackground: Nanoparticles in suspension are often utilized for intracellular labeling and evaluation of toxicity in experiments conducted in vitro. The purpose of this study was to undertake a computational modeling analysis of the deposition kinetics of a magnetite nanoparticle agglomerate in cell culture medium.Methods: Finite difference methods and the Crank-Nicolson algorithm were used to solve the equation of mass transport in order to analyze concentration profiles and dose deposition. Theoretical data were confirmed by experimental magnetic resonance imaging.Results: Different behavior in the dose fraction deposited was found for magnetic nanoparticles up to 50 nm in diameter when compared with magnetic nanoparticles of a larger diameter. Small changes in the dispersion factor cause variations of up to 22% in the dose deposited. The experimental data confirmed the theoretical results.Conclusion: These findings are important in planning for nanomaterial absorption, because they provide valuable information for efficient intracellular labeling and control toxicity. This model enables determination of the in vitro transport behavior of specific magnetic nanoparticles, which is also relevant to other models that use cellular components and particle absorption processes.Keywords: magnetite, nanoparticles, diffusion, sedimentation, agglomerates, computational modeling, cellular labeling, magnetic resonance imaging
format	article
author	C&aacute;rdenas WH Mamani JB Sibov TT Caous CA Amaro Jr E Gamarra LF
author_facet	C&aacute;rdenas WH Mamani JB Sibov TT Caous CA Amaro Jr E Gamarra LF
author_sort	C&aacute;rdenas WH
title	Particokinetics: computational analysis of the superparamagnetic iron oxide nanoparticles deposition process
title_short	Particokinetics: computational analysis of the superparamagnetic iron oxide nanoparticles deposition process
title_full	Particokinetics: computational analysis of the superparamagnetic iron oxide nanoparticles deposition process
title_fullStr	Particokinetics: computational analysis of the superparamagnetic iron oxide nanoparticles deposition process
title_full_unstemmed	Particokinetics: computational analysis of the superparamagnetic iron oxide nanoparticles deposition process
title_sort	particokinetics: computational analysis of the superparamagnetic iron oxide nanoparticles deposition process
publisher	Dove Medical Press
publishDate	2012
url	https://doaj.org/article/58b2ed958f0f4077b5a62911cda70a66
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Particokinetics: computational analysis of the superparamagnetic iron oxide nanoparticles deposition process

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