The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Specific Absorption Rates and Magnetic Properties of Ferrofluids with Interaction Effects at Low Concentrations
Open accessAbstract
The specific absorption rate (SAR) of a maghemite-based ferrofluid, measured at 315 K, 3 kA/m, and 109 kHz, was found to double as the ferrofluid concentration was decreased by a factor of 4. The ferrofluid contained nonagglomerated, highly crystalline, and monodisperse nanoparticles with an average size of 11.6 nm and an initial concentration of 8.14 mg/mL. The magnetic characterization of three different concentrations of this ferrofluid revealed several effects typical of the presence of magnetic interactions, such as the decrease of initial susceptibility values (liquid ferrofluid) and Néel relaxation times, τ N (frozen ferrofluid), with increasing concentration. The accurate SAR determination in adiabatic conditions allowed estimating the τ N values of the liquid ferrofluid, which displayed the same trend against concentration as those obtained in the frozen state. Such a trend allowed explaining qualitatively the degradation of the heating performance of the ferrofluid upon increasing concentration. Eventually, correlation between τ N values in both states was discussed in terms of several theoretical models described in the literature and developed to explain the properties of an assembly of nanoparticles with dipolar interactions.
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
Renal clearance of quantum dots
Soo Choi, H., Liu, W., Misra, P., Tanaka, E., Zimmer, J. P., Itty Ipe, B., Bawendi, M. G., & Frangioni, J. V. (2007) · Nature Biotechnology · doi:10.1038/nbt1340 · Cited by 4,476
Thermal Fluctuations of a Single-Domain Particle
Brown, W. F. (1963) · Physical Review · doi:10.1103/physrev.130.1677 · Cited by 3,374
Cited by
Dutz, S., & Hergt, R. (2013) · International Journal of Hyperthermia · doi:10.3109/02656736.2013.822993 · Cited by 522
Branquinho, L. C., Carrião, M. S., Costa, A. S., Zufelato, N., Sousa, M. H., Miotto, R., Ivkov, R., & Bakuzis, A. F. (2013) · Scientific Reports · doi:10.1038/srep02887 · Cited by 395
Bordelon, D. E., Cornejo, C., Grüttner, C., Westphal, F., DeWeese, T. L., & Ivkov, R. (2011) · Journal of Applied Physics · doi:10.1063/1.3597820 · Cited by 142
Accounting for biological aggregation in heating and imaging of magnetic nanoparticles
Etheridge, M. L., Hurley, K. R., Zhang, J., Jeon, S., Ring, H. L., Hogan, C., Haynes, C. L., Garwood, M., & Bischof, J. C. (2014) · TECHNOLOGY · doi:10.1142/s2339547814500198 · Cited by 115
Optimizing Magnetic Nanoparticle Based Thermal Therapies Within the Physical Limits of Heating
Etheridge, M. L., & Bischof, J. C. (2013) · Annals of Biomedical Engineering · doi:10.1007/s10439-012-0633-1 · Cited by 64
Metadata
- Authors
- Urtizberea, A., Natividad, E., Arizaga, A., Castro, M., & Mediano, A.
- Venue
- The Journal of Physical Chemistry C
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-03-01
- Volume
- 114
- Issue
- 11
- Pages
- 4916-4922
- ISSN
- 1932-7447 (ISSN-L)
- 1932-7455
- OpenAlex
- W2082390401
- Cited by
- 160
- References
- 2
- FWCI
- 3.82
- Type
- journal article
- Language
- en
- Open access
- green
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.