The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Graphene-Supported Ag-Based Core–Shell Nanoparticles for Hydrogen Generation in Hydrolysis of Ammonia Borane and Methylamine Borane
Abstract
Well-dispersed magnetically recyclable core-shell Ag@M (M = Co, Ni, Fe) nanoparticles (NPs) supported on graphene have been synthesized via a facile in situ one-step procedure, using methylamine borane (MeAB) as a reducing agent under ambient condition. Their catalytic activity toward hydrolysis of ammonia borane (AB) were studied. Although the Ag@Fe/graphene NPs are almost inactive, the as-prepared Ag@Co/graphene NPs are the most reactive catalysts, followed by Ag@Ni/graphene NPs. Compared with AB and NaBH4, the as-synthesized Ag@Co/graphene catalysts which reduced by MeAB exert the highest catalytic activity. Additionally, the Ag@Co NPs supported on graphene exhibit higher catalytic activity than the catalysts with other conventional supports, such as the SiO2, carbon black, and γ-Al2O3. The as-synthesized Ag@Co/graphene NPs exert satisfied catalytic activity, with the turnover frequency (TOF) value of 102.4 (mol H2 min(-1) (mol Ag)(-1)), and the activation energy Ea value of 20.03 kJ/mol. Furthermore, the as-synthesized Ag@Co/graphene NPs show good recyclability and magnetically reusability for the hydrolytic dehydrogenation of AB and MeAB, which make the practical reusing application of the catalysts more convenient. Moreover, this simple synthetic method indicates that MeAB could be used as not only a potential hydrogen storage material but also an efficient reducing agent. It can be easily extended to facile preparation of other graphene supported metal NPs.
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
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
Xu, D., Liu, Z., Yang, H., Liu, Q., Zhang, J., Fang, J., Zou, S., & Sun, K. (2009) · Angewandte Chemie International Edition · doi:10.1002/anie.200900293 · Cited by 385
Cited by
Graphene oxide: A promising nanomaterial for energy and environmental applications
Li, F., Jiang, X., Zhao, J., & Zhang, S. (2015) · Nano Energy · doi:10.1016/j.nanoen.2015.07.014 · Cited by 674
Nest-like NiCoP for Highly Efficient Overall Water Splitting
Du, C., Yang, L., Yang, F., Cheng, G., & Luo, W. (2017) · ACS Catalysis · doi:10.1021/acscatal.7b00662 · Cited by 549
Self-citationChen, S., Hai, X., Chen, X.-W., & Wang, J.-H. (2014) · Analytical Chemistry · doi:10.1021/ac501497d · Cited by 334
Metal nanoparticles supported on two-dimensional graphenes as heterogeneous catalysts
Navalon, S., Dhakshinamoorthy, A., Alvaro, M., & Garcia, H. (2016) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2015.12.005 · Cited by 323
Metadata
- Authors
- Yang, L., Luo, W., & Cheng, G.
- Venue
- ACS Applied Materials & Interfaces
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-08-08
- Volume
- 5
- Issue
- 16
- Pages
- 8231-8240
- ISSN
- 1944-8244 (ISSN-L)
- 1944-8252
- OpenAlex
- W2003135537
- Cited by
- 183
- References
- 2
- FWCI
- 9.62
- 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.