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Cited by 428

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Theory of proton relaxation induced by superparamagnetic particles

Roch, Alain, Muller, Robert N., Gillis, Pierre·1999·The Journal of Chemical Physics

Abstract

Evaluating and understanding the performances of magnetic colloids as contrast agents for MRI requires a theory describing their magnetic interactions with water protons. The field dependence of the proton longitudinal relaxation rate (nuclear magnetic relaxation dispersion profiles) in aqueous colloidal suspensions of superparamagnetic particles is based on the so-called Curie relaxation, which essentially accounts for the high field part of the NMRD profiles (B0>0.02 T). The low-field part of the NMRD profiles can only be explained by the crystal’s internal anisotropy energy, a concept which clarifies the important difference between superpara- and paramagnetic compounds: the anisotropy energy modifies both the electronic precession frequencies and the thermodynamic probability of occupation of the crystal magnetic states. Our theory clearly explains why a low-field dispersion exists for suspensions of small size crystals, and why it does not for large crystals’ suspensions. This important effect is due to the Boltzmann factors depending on the anisotropy energy, which is itself proportional to the particle volume.

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Metadata

Authors
Roch, A., Muller, R. N., & Gillis, P.
Venue
The Journal of Chemical Physics
Published
1999-03-15
Volume
110
Issue
11
Pages
5403-5411
ISSN
  • 0021-9606 (ISSN-L)
  • 1089-7690
OpenAlex
W2042034685
Cited by
428
References
10
FWCI
3.79
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Theory of proton relaxation induced by superparamagnetic particles. https://app.cochat.ai/papers/10.1063/1.478435
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Roch, A., Muller, R. N., & Gillis, P. (1999). Theory of proton relaxation induced by superparamagnetic particles. The Journal of Chemical Physics. https://doi.org/10.1063/1.478435

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.