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Low-Field Magnetic Separation of Monodisperse Fe 3 O 4 Nanocrystals

Yavuz, Cafer T., Mayo, J. T., Yu, William W., Prakash, Arjun, Falkner, Joshua C., Yean, Sujin, Cong, Lili, Shipley, Heather J., Kan, Amy, Tomson, Mason, Natelson, Douglas, Colvin, Vicki L.·2006·Science

Abstract

Magnetic separations at very low magnetic field gradients (<100 tesla per meter) can now be applied to diverse problems, such as point-of-use water purification and the simultaneous separation of complex mixtures. High–surface area and monodisperse magnetite (Fe 3 O 4 ) nanocrystals (NCs) were shown to respond to low fields in a size-dependent fashion. The particles apparently do not act independently in the separation but rather reversibly aggregate through the resulting high-field gradients present at their surfaces. Using the high specific surface area of Fe 3 O 4 NCs that were 12 nanometers in diameter, we reduced the mass of waste associated with arsenic removal from water by orders of magnitude. Additionally, the size dependence of magnetic separation permitted mixtures of 4- and 12-nanometer–sized Fe 3 O 4 NCs to be separated by the application of different magnetic fields.

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Metadata

Authors
Yavuz, C. T., Mayo, J. T., Yu, W. W., Prakash, A., Falkner, J. C., Yean, S., Cong, L., Shipley, H. J., Kan, A., Tomson, M., Natelson, D., & Colvin, V. L.
Venue
Science
Published
2006-11-10
Volume
314
Issue
5801
Pages
964-967
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1984395192
Cited by
1,250
References
0
FWCI
28.43
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Low-Field Magnetic Separation of Monodisperse Fe 3 O 4 Nanocrystals. https://app.cochat.ai/papers/10.1126/science.1131475
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Yavuz, C. T., Mayo, J. T., Yu, W. W., Prakash, A., Falkner, J. C., Yean, S., Cong, L., Shipley, H. J., Kan, A., Tomson, M., Natelson, D., & Colvin, V. L. (2006). Low-Field Magnetic Separation of Monodisperse Fe 3 O 4 Nanocrystals. Science. https://doi.org/10.1126/science.1131475

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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.