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

Authors Cárdenas WHZ, Mamani J, Sibov T, Caous CA, Amaro Jr. E, gamarra L 

Received 20 January 2012

Accepted for publication 3 March 2012

Published 1 June 2012 Volume 2012:7 Pages 2699—2712


Review by Single anonymous peer review

Peer reviewer comments 2

This paper has been retracted.


Walter HZ Cárdenas, Javier B Mamani, Tatiana T Sibov, Cristofer A Caous, Edson Amaro Jr, Lionel F Gamarra
Instituto do Cérebro, Hospital Israelita Albert Einstein, São Paulo, Brazil

Background: 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

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