The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Synthesis, Structure, Properties, and Applications of Bimetallic Nanoparticles of Noble Metals
Open accessAbstract
Bimetallic nanoparticles of noble metals are of high interest in imaging, biomedical devices, including nanomedicine, and heterogeneous catalysis. Synthesis, properties, characterization, biological properties, and practical applicability of nanoparticles on the basis of platinum group metals and the coin metals Ag and Au are discussed, also in comparison with the corresponding monometallic nanoparticles. In addition to the parameters that are required to characterize monometallic nanoparticles (mainly size, size distribution, shape, crystallographic nature, surface functionalization, charge), further information is required for a full characterization of bimetallic nanoparticles. This concerns the overall elemental composition of a bimetallic nanoparticle population (ratio of the two metals) and the internal distribution of the elements in individual nanoparticles (e.g., the presence of homogeneous alloys, core–shell systems, and possible intermediate stages). It is also important to ensure that all particles are identical in terms of elemental composition, that is, that the homogeneity of the particle population is given. Macroscopic properties like light absorption, antibacterial effects, and catalytic activity depend on these properties. The currently available methods for a full characterization of bimetallic nanoparticles are discussed, and future developments in this field are outlined.
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
Recent Advances in Electrocatalysts for Oxygen Reduction Reaction
Shao, M., Chang, Q., Dodelet, J.-P., & Chenitz, R. (2016) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00462 · Cited by 3,903
Nanoalloys: From Theory to Applications of Alloy Clusters and Nanoparticles
Ferrando, R., Jellinek, J., & Johnston, R. L. (2008) · Chemical Reviews · doi:10.1021/cr040090g · Cited by 3,690
Sahay, G., Alakhova, D. Y., & Kabanov, A. V. (2010) · Journal of Controlled Release · doi:10.1016/j.jconrel.2010.01.036 · Cited by 2,181
Laser Synthesis and Processing of Colloids: Fundamentals and Applications
Zhang, D., Gökce, B., & Barcikowski, S. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00468 · Cited by 1,344
Sub-nanometre sized metal clusters: from synthetic challenges to the unique property discoveries
Lu, Y., & Chen, W. (2012) · Chemical Society Reviews · doi:10.1039/c2cs15325d · Cited by 1,152
Strain-controlled electrocatalysis on multimetallic nanomaterials
Luo, M., & Guo, S. (2017) · Nature Reviews Materials · doi:10.1038/natrevmats.2017.59 · Cited by 1,115
Stamenkovic, V. R., Mun, B. S., Mayrhofer, K. J. J., Ross, P. N., & Markovic, N. M. (2006) · Journal of the American Chemical Society · doi:10.1021/ja0600476 · Cited by 974
Xia, T., Kovochich, M., Liong, M., Meng, H., Kabehie, S., George, S., Zink, J. I., & Nel, A. E. (2009) · ACS Nano · doi:10.1021/nn900918w · Cited by 933
Zhu, C., Du, D., Eychmüller, A., & Lin, Y. (2015) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00255 · Cited by 672
Tuning the Activity of Pt(111) for Oxygen Electroreduction by Subsurface Alloying
Stephens, I. E. L., Bondarenko, A. S., Perez-Alonso, F. J., Calle-Vallejo, F., Bech, L., Johansson, T. P., Jepsen, A. K., Frydendal, R., Knudsen, B. P., Rossmeisl, J., et al. (2011) · Journal of the American Chemical Society · doi:10.1021/ja111690g · Cited by 526
Cited by
Wang, H., Fang, Q., Gu, W., Du, D., Lin, Y., & Zhu, C. (2020) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.0c14007 · Cited by 95
Johny, J., Kamp, M., Prymak, O., Tymoczko, A., Wiedwald, U., Rehbock, C., Schürmann, U., Popescu, R., Gerthsen, D., Kienle, L., et al. (2021) · The Journal of Physical Chemistry C · doi:10.1021/acs.jpcc.1c02138 · Cited by 47
Hybrid nanostructures of Ag/Au-ZnO synthesized by pulsed laser ablation/irradiation in liquid
Kanakkillam, S. S., Krishnan, B., Peláez, R. F. C., Martinez, J. A. A., Avellaneda, D. A., & Shaji, S. (2021) · Surfaces and Interfaces · doi:10.1016/j.surfin.2021.101561 · Cited by 21
Metadata
- Authors
- Loza, K., Heggen, M., & Epple, M.
- Venue
- Advanced Functional Materials
- Publisher
- Wiley
- Published
- 2020-03-05
- Volume
- 30
- Issue
- 21
- ISSN
- 1616-301X (ISSN-L)
- 1616-3028
- OpenAlex
- W3009654721
- Cited by
- 499
- References
- 13
- FWCI
- 45.16
- Type
- journal article
- Language
- en
- Open access
- hybrid
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.