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The Structure of Ferrihydrite, a Nanocrystalline Material

Michel, F. Marc, Ehm, Lars, Antao, Sytle M., Lee, Peter L., Chupas, Peter J., Liu, Gang, Strongin, Daniel R., Schoonen, Martin A. A., Phillips, Brian L., Parise, John B.·2007·Science

Abstract

Despite the ubiquity of ferrihydrite in natural sediments and its importance as an industrial sorbent, the nanocrystallinity of this iron oxyhydroxide has hampered accurate structure determination by traditional methods that rely on long-range order. We uncovered the atomic arrangement by real-space modeling of the pair distribution function (PDF) derived from direct Fourier transformation of the total x-ray scattering. The PDF for ferrihydrite synthesized with the use of different routes is consistent with a single phase (hexagonal space group P 6 3 mc ; a = ∼5.95 angstroms, c = ∼9.06 angstroms). In its ideal form, this structure contains 20% tetrahedrally and 80% octahedrally coordinated iron and has a basic structural motif closely related to the Baker-Figgis δ-Keggin cluster. Real-space fitting indicates structural relaxation with decreasing particle size and also suggests that second-order effects such as internal strain, stacking faults, and particle shape contribute to the PDFs.

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Metadata

Authors
Michel, F. M., Ehm, L., Antao, S. M., Lee, P. L., Chupas, P. J., Liu, G., Strongin, D. R., Schoonen, M. A. A., Phillips, B. L., & Parise, J. B.
Venue
Science
Published
2007-06-22
Volume
316
Issue
5832
Pages
1726-1729
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2049381544
Cited by
901
References
0
FWCI
28.70
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Structure of Ferrihydrite, a Nanocrystalline Material. https://app.cochat.ai/papers/10.1126/science.1142525
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Michel, F. M., Ehm, L., Antao, S. M., Lee, P. L., Chupas, P. J., Liu, G., Strongin, D. R., Schoonen, M. A. A., Phillips, B. L., & Parise, J. B. (2007). The Structure of Ferrihydrite, a Nanocrystalline Material. Science. https://doi.org/10.1126/science.1142525

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