The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Theoretical and Experimental Insights into the Origin of the Catalytic Activity of Subnanometric Gold Clusters: Attempts to Predict Reactivity with Clusters and Nanoparticles of Gold
Open accessAbstract
Particle size is one of the key parameters determining the unexpected catalytic activity of gold, with reactivity improving as the particle gets smaller. While this is valid in the 1-5 nm range, chemists are now investigating the influence of particle size in the subnanometer regime. This is due to recent advances in both characterization techniques and synthetic routes capable of stabilizing these size-controlled gold clusters. Researchers reported in early studies that small clusters or aggregates of a few atoms can be extremely active in some reactions, while 1-2 nm nanoparticles are catalytically more efficient for other reactions. Furthermore, the possibility that small gold clusters generated in situ from gold salts or complexes could be the real active species in homogeneous gold-catalyzed organic reactions should be considered. In this Account, we address two questions. First, what is the origin of the enhanced reactivity of gold clusters on the subnanometer scale? And second, how can we predict the reactions where small clusters should work better than larger nanoparticles? Both geometric factors and electronic or quantum size effects become important in the subnanometer regime. Geometric reasons play a key role in hydrogenation reactions, where only accessible low coordinated neutral Au atoms are needed to dissociate H2. The quantum size effects of gold clusters are important as well, as clusters formed by only a few atoms have discrete molecule-like electronic states and their chemical reactivity is related to interactions between the cluster's frontier molecular orbitals and those of the reactant molecules. From first principles calculations, we predict an enhanced reactivity of small planar clusters for reactions involving activation of CC multiple bonds in alkenes and alkynes through Lewis acid-base interactions, and a better catalytic performance of 3D gold nanoparticles in redox reactions involving bond dissociation by oxidative addition and new bond formation by reductive elimination. In oxidation reactions with molecular O2, initial dissociation of O2 into basic oxygen atoms would be more effectively catalyzed by gold nanoparticles of ∼1 nm diameter. In contrast, small planar clusters should be more active for reactions following a radical pathway involving peroxo or hydroperoxo intermediates. We have experimentally confirmed these predictions for a series of Lewis acid and oxidation reactions catalyzed by gold clusters and nanoparticles either in solution or supported on solid carriers.
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
Supported gold nanoparticles as catalysts for organic reactions
Corma, A., & Garcia, H. (2008) · Chemical Society Reviews · doi:10.1039/b707314n · Cited by 1,883
Self-citationIdentification of Active Gold Nanoclusters on Iron Oxide Supports for CO Oxidation
Herzing, A. A., Kiely, C. J., Carley, A. F., Landon, P., & Hutchings, G. J. (2008) · Science · doi:10.1126/science.1159639 · Cited by 1,530
Cited by
Metal Catalysts for Heterogeneous Catalysis: From Single Atoms to Nanoclusters and Nanoparticles
Liu, L., & Corma, A. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00776 · Cited by 4,777
Self-citationWell-Defined Materials for Heterogeneous Catalysis: From Nanoparticles to Isolated Single-Atom Sites
Li, Z., Ji, S., Liu, Y., Cao, X., Tian, S., Chen, Y., Niu, Z., & Li, Y. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00311 · Cited by 1,245
Direct transformation of bulk copper into copper single sites via emitting and trapping of atoms
Qu, Y., Li, Z., Chen, W., Lin, Y., Yuan, T., Yang, Z., Zhao, C., Wang, J., Zhao, C., Wang, X., et al. (2018) · Nature Catalysis · doi:10.1038/s41929-018-0146-x · Cited by 988
Liu, L., & Corma, A. (2023) · Chemical Reviews · doi:10.1021/acs.chemrev.2c00733 · Cited by 689
Self-citationLi, P., Jin, Z., Fang, Z., & Yu, G. (2021) · Energy & Environmental Science · doi:10.1039/d1ee00545f · Cited by 532
Metadata
- Authors
- Boronat, M., Leyva-Pérez, A., & Corma, A.
- Venue
- Accounts of Chemical Research
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-06-10
- Volume
- 47
- Issue
- 3
- Pages
- 834-844
- ISSN
- 0001-4842 (ISSN-L)
- 1520-4898
- OpenAlex
- W2102935936
- Cited by
- 258
- References
- 2
- FWCI
- 8.88
- 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.