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Ferritin: a model superparamagnet
Open accessAbstract
Abstract It is shown that ferritin follows Neel—Arrhenius behavior over eight orders of magnitude in frequency. A pre-exponential relaxation time of τ0 ∼ 10−11s and an anisotropy energy of E a k B = 318 K are obtained. A net core moment of 300 μB, in agreement with theoretical predictions, is determined from high-field magnetisation isotherms.
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Cited by
Exchange bias in nanostructures
Nogués, J., Sort, J., Langlais, V., Skumryev, V., Suriñach, S., Muñoz, J. S., & Baró, M. D. (2005) · Physics Reports · doi:10.1016/j.physrep.2005.08.004 · Cited by 1,925
Role of microglia in CNS inflammation
Graeber, M. B., Li, W., & Rodriguez, M. L. (2011) · FEBS Letters · doi:10.1016/j.febslet.2011.08.033 · Cited by 392
“They also accumulate large amounts of the ‘‘model superparamagnet’’ ferritin [54] which can be used as a marker for these”
BackgroundGutiérrez, L., Lázaro, F. J., Abadía, A. R., Romero, M. S., Quintana, C., Puerto Morales, M., Patiño, C., & Arranz, R. (2006) · Journal of Inorganic Biochemistry · doi:10.1016/j.jinorgbio.2006.06.010 · Cited by 49
Metadata
- Authors
- Kilcoyne, S. H., & Cywinski, R.
- Venue
- Journal of Magnetism and Magnetic Materials
- Publisher
- Elsevier BV
- Published
- 1995-02
- Volume
- 140-144
- Pages
- 1466-1467
- ISSN
- 0304-8853 (ISSN-L)
- OpenAlex
- W1976712727
- Cited by
- 181
- References
- 0
- FWCI
- 4.08
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Ferritin: a model superparamagnet. https://app.cochat.ai/papers/10.1016/0304-8853(94)00626-1
- The paper
- Kilcoyne, S. H., & Cywinski, R. (1995). Ferritin: a model superparamagnet. Journal of Magnetism and Magnetic Materials. https://doi.org/10.1016/0304-8853(94)00626-1
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
