The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Large-Scale Fe3O4Nanoparticles Soluble in Water Synthesized by a Facile Method
Abstract
Large-scale hydrophilic Fe 3 O 4 nanoparticles (NPs) were prepared in the presence of citrate and sodium nitrate via a facile method. The Fe 3 O 4 NPs are quite stable and can be freely dispersed in water. The as-prepared magnetic nanoparticle solution can be stable for more than 1 month. The mean diameter of the Fe 3 O 4 NPs can be controlled in the range of ∼20 to ∼40 nm in mean diameter. The NPs show superparamagnetic properties with a relatively high saturation magnetization moment 58 emu/mg at room temperature. Furthermore, a possible formation mechanism is proposed to explain why the magnetic nanoparticles are very well soluble in water.
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
Iron Oxide Nanoparticle Based Contrast Agents for Magnetic Resonance Imaging
Shen, Z., Wu, A., & Chen, X. (2017) · Molecular Pharmaceutics · doi:10.1021/acs.molpharmaceut.6b00839 · Cited by 328
The toxicity of nanoparticles and their interaction with cells: an in vitro metabolomic perspective
Awashra, M., & Młynarz, P. (2023) · Nanoscale Advances · doi:10.1039/d2na00534d · Cited by 319
Sodipo, B. K., & Aziz, A. A. (2016) · Journal of Magnetism and Magnetic Materials · doi:10.1016/j.jmmm.2016.05.019 · Cited by 169
Effect of synthesis conditions on the properties of citric-acid coated iron oxide nanoparticles
Li, L., Mak, K. Y., Leung, C. W., Chan, K. Y., Chan, W. K., Zhong, W., & Pong, P. W. T. (2013) · Microelectronic Engineering · doi:10.1016/j.mee.2013.02.045 · Cited by 162
Wang, P., Luo, M., Liu, D., Zhan, J., Liu, X., Wang, F., Zhou, Z., & Wang, P. (2018) · Journal of Chromatography A · doi:10.1016/j.chroma.2018.01.003 · Cited by 81
Metadata
- Authors
- Hui, C., Shen, C., Yang, T., Bao, L., Tian, J., Ding, H., Li, C., & Gao, H.-J.
- Venue
- The Journal of Physical Chemistry C
- Publisher
- American Chemical Society (ACS)
- Published
- 2008-07
- Volume
- 112
- Issue
- 30
- Pages
- 11336-11339
- ISSN
- 1932-7447 (ISSN-L)
- 1932-7455
- OpenAlex
- W2101111865
- Cited by
- 290
- References
- 1
- FWCI
- 4.38
- 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.