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Preparation of amorphous magnetite nanoparticles embedded in polyvinyl alcohol using ultrasound radiation
Abstract
Uniformly dispersed amorphous nanoparticles of magnetite in polyvinyl alcohol have been obtained by ultrasound radiation. The properties of the as-prepared composite material were characterized by various analytical methods. We have found that the magnetite particles that were 12–20 nm in diameter were very well dispersed in the PVA. The magnetization measurements establish that the composite material is superparamagnetic in nature.
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Kirkpatrick, S. (1973) · Reviews of Modern Physics · doi:10.1103/revmodphys.45.574 · Cited by 5,260
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
Magnetite Nanocrystals: Nonaqueous Synthesis, Characterization, and Solubility
Pinna, N., Grancharov, S., Beato, P., Bonville, P., Antonietti, M., & Niederberger, M. (2005) · Chemistry of Materials · doi:10.1021/cm050060+ · Cited by 355
Nanomedicine and drug delivery: a mini review
Mirza, A. Z., & Siddiqui, F. A. (2014) · International Nano Letters · doi:10.1007/s40089-014-0094-7 · Cited by 353
Metadata
- Authors
- Kumar, R. V., Koltypin, Y., Cohen, Y. S., Cohen, Y., Aurbach, D., Palchik, O., Felner, I., & Gedanken, A.
- Venue
- Journal of Materials Chemistry
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2000
- Volume
- 10
- Issue
- 5
- Pages
- 1125-1129
- ISSN
- 0959-9428 (ISSN-L)
- 1364-5501
- OpenAlex
- W2110831038
- Cited by
- 186
- References
- 1
- FWCI
- 3.11
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kumar, R. V., Koltypin, Y., Cohen, Y. S., Cohen, Y., Aurbach, D., Palchik, O., Felner, I., & Gedanken, A. (2000). Preparation of amorphous magnetite nanoparticles embedded in polyvinyl alcohol using ultrasound radiation. Journal of Materials Chemistry. https://doi.org/10.1039/b000440p
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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.
