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A Novel Two-Step Silica-Coating Process for Engineering Magnetic Nanocomposites
Abstract
A novel two-step silica-coating process, sol−gel followed by dense liquid coatings, is described. The maghemite surfaces coated with silica, using the two-step process, are characterized by X-ray photoelectron spectroscopy, electrokinetics, leaching test, and magnetization measurement. Compared with the single-step sol−gel or dense-liquid-coating process, the two-step process produces magnetic nanocomposites of the highest protection against acid attack at the lowest level of silica coatings with maximized magnetization.
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Citations
Cited by
Laurent, S., Forge, D., Port, M., Roch, A., Robic, C., Vander Elst, L., & Muller, R. N. (2008) · Chemical Reviews · doi:10.1021/cr068445e · Cited by 6,852
Biomedical Nanomagnetics: A Spin Through Possibilities in Imaging, Diagnostics, and Therapy
Krishnan, K. M. (2010) · IEEE Transactions on Magnetics · doi:10.1109/tmag.2010.2046907 · Cited by 819
Magnetic Nanocomposites: A New Perspective in Catalysis
Zhu, Y., Stubbs, L. P., Ho, F., Liu, R., Ship, C. P., Maguire, J. A., & Hosmane, N. S. (2010) · ChemCatChem · doi:10.1002/cctc.200900314 · Cited by 417
Takafuji, M., Ide, S., Ihara, H., & Xu, Z. (2004) · Chemistry of Materials · doi:10.1021/cm030334y · Cited by 381
Self-citationHakami, O., Zhang, Y., & Banks, C. J. (2012) · Water Research · doi:10.1016/j.watres.2012.04.032 · Cited by 347
Metadata
- Authors
- Liu, Q., Xu, Z., Finch, J. A., & Egerton, R.
- Venue
- Chemistry of Materials
- Publisher
- American Chemical Society (ACS)
- Published
- 1998-11-12
- Volume
- 10
- Issue
- 12
- Pages
- 3936-3940
- ISSN
- 0897-4756 (ISSN-L)
- 1520-5002
- OpenAlex
- W1987958796
- Cited by
- 250
- References
- 0
- FWCI
- 0.91
- Type
- journal article
- Language
- en
- Open access
- closed
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- Liu, Q., Xu, Z., Finch, J. A., & Egerton, R. (1998). A Novel Two-Step Silica-Coating Process for Engineering Magnetic Nanocomposites. Chemistry of Materials. https://doi.org/10.1021/cm980370a
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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.