The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Atom Transfer Radical Polymerization Synthesis and Magnetic Characterization of MnFe2O4/Polystyrene Core/Shell Nanoparticles
Abstract
An atom transfer radical polymerization route is developed for the coating of MnFe2O4 nanoparticles with polystyrene yielding the core-shell nanoparticles with size <15 nm. Magnetic studies show a decrease in coercivity after the formation of polystyrene shell, which is considered due to the reduction of magnetic surface anisotropy upon polymer coating. The MnFe2O4 nanoparticles as the magnetic core were separately prepared by a reverse micelle microemulsion method. Polymerization initiators are chemically attached onto the surface of nanoparticles. The modified nanoparticles are then used as macro-initiators in the subsequent polymerization reaction. This approach provides great flexibility in the selection of magnetic core. Consequently, magnetic tunability is able to be introduced into these core/shell nanoparticulate systems to achieve the desired superparamagnetic response.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Monodisperse FePt Nanoparticles and Ferromagnetic FePt Nanocrystal Superlattices
Sun, S., Murray, C. B., Weller, D., Folks, L., & Moser, A. (2000) · Science · doi:10.1126/science.287.5460.1989 · Cited by 6,137
Cited by
Barbey, R., Lavanant, L., Paripovic, D., Schüwer, N., Sugnaux, C., Tugulu, S., & Klok, H.-A. (2009) · Chemical Reviews · doi:10.1021/cr900045a · Cited by 1,753
Atrp in the design of functional materials for biomedical applications
Siegwart, D. J., Oh, J. K., & Matyjaszewski, K. (2012) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2011.08.001 · Cited by 613
Oh, J. K., & Park, J. M. (2011) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2010.08.005 · Cited by 427
Core/Shell Gold Nanoparticles by Self-Assembly and Crosslinking of Micellar, Block-Copolymer Shells
Kang, Y., & Taton, T. A. (2005) · Angewandte Chemie International Edition · doi:10.1002/anie.200461119 · Cited by 316
Li, D., Sheng, X., & Zhao, B. (2005) · Journal of the American Chemical Society · doi:10.1021/ja0422561 · Cited by 300
Metadata
- Authors
- Vestal, C. R., & Zhang, Z. J.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2002-11-09
- Volume
- 124
- Issue
- 48
- Pages
- 14312-14313
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2004720579
- Cited by
- 325
- References
- 1
- FWCI
- 10.76
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.