Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Vuong, Quoc Lam

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University of Mons

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2017Ferritin Protein Regulates the Degradation of Iron Oxide Nanoparticles78citations
  • 2012A Universal Scaling Law to Predict the Efficiency of Magnetic Nanoparticles as MRI T2‐Contrast Agents186citations
  • 2009Magnetic resonance relaxation properties of superparamagnetic particles287citations

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Chart of shared publication
Ménager, Christine
1 / 4 shared
Gossuin, Yves
3 / 7 shared
Luciani, Nathalie
1 / 3 shared
Volatron, Jeanne
1 / 1 shared
Hémadi, Miryana
1 / 2 shared
Carn, Florent
1 / 8 shared
Kolosnjaj-Tabi, Jelena
1 / 1 shared
Charron, Gaëlle
1 / 2 shared
Javed, Yasir
1 / 2 shared
Gazeau, Florence
1 / 5 shared
Alloyeau, Damien
1 / 13 shared
Fresnais, Jérôme
1 / 4 shared
Berret, Jeanfrançois
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Sandre, Olivier
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Gillis, Pierre
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Hocq, Aline
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Roch, Alain
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2012
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Co-Authors (by relevance)

  • Ménager, Christine
  • Gossuin, Yves
  • Luciani, Nathalie
  • Volatron, Jeanne
  • Hémadi, Miryana
  • Carn, Florent
  • Kolosnjaj-Tabi, Jelena
  • Charron, Gaëlle
  • Javed, Yasir
  • Gazeau, Florence
  • Alloyeau, Damien
  • Fresnais, Jérôme
  • Berret, Jeanfrançois
  • Sandre, Olivier
  • Gillis, Pierre
  • Hocq, Aline
  • Roch, Alain
OrganizationsLocationPeople

article

A Universal Scaling Law to Predict the Efficiency of Magnetic Nanoparticles as MRI T2‐Contrast Agents

  • Vuong, Quoc Lam
  • Gossuin, Yves
  • Fresnais, Jérôme
  • Berret, Jeanfrançois
  • Sandre, Olivier
Abstract

<jats:title>Abstract</jats:title><jats:p>Magnetic particles are very efficient magnetic resonance imaging (MRI) contrast agents. In recent years, chemists have unleashed their imagination to design multi‐functional nanoprobes for biomedical applications including MRI contrast enhancement. This study is focused on the direct relationship between the size and magnetization of the particles and their nuclear magnetic resonance relaxation properties, which condition their efficiency. Experimental relaxation results with maghemite particles exhibiting a wide range of sizes and magnetizations are compared to previously published data and to well‐established relaxation theories with a good agreement. This allows deriving the experimental master curve of the transverse relaxivity <jats:italic>versus</jats:italic> particle size and to predict the MRI contrast efficiency of any type of magnetic nanoparticles. This prediction only requires the knowledge of the size of the particles impermeable to water protons and the saturation magnetization of the corresponding volume. To predict the <jats:italic>T</jats:italic><jats:sub>2</jats:sub> relaxation efficiency of magnetic single crystals, the crystal size and magnetization – obtained through a single Langevin fit of a magnetization curve – is the only information needed. For contrast agents made of several magnetic cores assembled into various geometries (dilute fractal aggregates, dense spherical clusters, core–shell micelles, hollow vesicles…︁), one needs to know a third parameter, namely the intra‐aggregate volume fraction occupied by the magnetic materials relatively to the whole (hydrodynamic) sphere. Finally a calculation of the maximum achievable relaxation effect – and the size needed to reach this maximum – is performed for different cases: maghemite single crystals and dense clusters, core‐shell particles (oxide layer around a metallic core) and zinc‐manganese ferrite crystals.</jats:p>

Topics
  • nanoparticle
  • impedance spectroscopy
  • cluster
  • single crystal
  • zinc
  • Manganese
  • magnetization
  • saturation magnetization