The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Polyoxometalate-Based Cobalt–Phosphate Molecular Catalysts for Visible Light-Driven Water Oxidation
Abstract
A series of all-inorganic, abundant-metal-based, high-nuclearity cobalt-phosphate (Co-Pi) molecular catalysts [{Co4(OH)3(PO4)}4(SiW9O34)4](32-) (1), [{Co4(OH)3(PO4)}4(GeW9O34)4](32-) (2), [{Co4(OH)3(PO4)}4(PW9O34)4](28-) (3), and [{Co4(OH)3(PO4)}4(AsW9O34)4](28-) (4) were synthesized and shown to be highly effective at photocatalytic water oxidation. The {Co16(PO4)4} cluster contains a Co4O4 cubane which is structurally analogous to the [Mn3CaO4] core of the oxygen-evolving complex (OEC) in photosystem II (PSII). Compounds 1-4 were shown to be the first POM-based Co-Pi-cluster molecular catalysts for visible light-driven water oxidation, thus serving as a functional model of the OEC in PSII. The systematic synthesis of four isostructural analogues allowed for investigating the influence of different heteroatoms in the POM ligands on the photocatalytic activities of these Co-Pi cluster WOCs. Further, the POM-based photocatalysts readily recrystallized from the photocatalytic reaction systems with the polyoxoanion structures unchanged, which together with the laser flash photolysis, dynamic light-scattering, (31)P NMR, UV-vis absorption, POM extraction, and ICP-MS analysis results collectively confirmed that compounds 1-4 maintain their structural integrity under the photocatalytic conditions. This study provides not only a valuable molecular model of the "Co-Pi" catalysts with a well-defined structure but also an unprecedented opportunity to fine-tune high-nuclearity POM clusters for visible light-driven water splitting.
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
Electrochemical Photolysis of Water at a Semiconductor Electrode
FUJISHIMA, A., & HONDA, K. (1972) · Nature · doi:10.1038/238037a0 · Cited by 34,169
In Situ Formation of an Oxygen-Evolving Catalyst in Neutral Water Containing Phosphate and Co 2+
Kanan, M. W., & Nocera, D. G. (2008) · Science · doi:10.1126/science.1162018 · Cited by 4,122
Crystal structure of oxygen-evolving photosystem II at a resolution of 1.9 Å
Umena, Y., Kawakami, K., Shen, J.-R., & Kamiya, N. (2011) · Nature · doi:10.1038/nature09913 · Cited by 3,913
Direct splitting of water under visible light irradiation with an oxide semiconductor photocatalyst
Zou, Z., Ye, J., Sayama, K., & Arakawa, H. (2001) · Nature · doi:10.1038/414625a · Cited by 3,161
Lessons from nature about solar light harvesting
Scholes, G. D., Fleming, G. R., Olaya-Castro, A., & van Grondelle, R. (2011) · Nature Chemistry · doi:10.1038/nchem.1145 · Cited by 1,915
Wireless Solar Water Splitting Using Silicon-Based Semiconductors and Earth-Abundant Catalysts
Reece, S. Y., Hamel, J. A., Sung, K., Jarvi, T. D., Esswein, A. J., Pijpers, J. J. H., & Nocera, D. G. (2011) · Science · doi:10.1126/science.1209816 · Cited by 1,687
A Fast Soluble Carbon-Free Molecular Water Oxidation Catalyst Based on Abundant Metals
Yin, Q., Tan, J. M., Besson, C., Geletii, Y. V., Musaev, D. G., Kuznetsov, A. E., Luo, Z., Hardcastle, K. I., & Hill, C. L. (2010) · Science · doi:10.1126/science.1185372 · Cited by 1,438
Semiconductor Nanowires for Energy Conversion
Hochbaum, A. I., & Yang, P. (2010) · Chemical Reviews · doi:10.1021/cr900075v · Cited by 1,404
A molecular ruthenium catalyst with water-oxidation activity comparable to that of photosystem II
Duan, L., Bozoglian, F., Mandal, S., Stewart, B., Privalov, T., Llobet, A., & Sun, L. (2012) · Nature Chemistry · doi:10.1038/nchem.1301 · Cited by 1,257
Nanomaterials for renewable energy production and storage
Chen, X., Li, C., Grätzel, M., Kostecki, R., & Mao, S. S. (2012) · Chemical Society Reviews · doi:10.1039/c2cs35230c · Cited by 1,015
Cited by
Anantharaj, S., Ede, S. R., Sakthikumar, K., Karthick, K., Mishra, S., & Kundu, S. (2016) · ACS Catalysis · doi:10.1021/acscatal.6b02479 · Cited by 2,503
Artificial Photosynthesis: Molecular Systems for Catalytic Water Oxidation
Kärkäs, M. D., Verho, O., Johnston, E. V., & Åkermark, B. (2014) · Chemical Reviews · doi:10.1021/cr400572f · Cited by 1,376
Metadata
- Authors
- Han, X.-B., Zhang, Z.-M., Zhang, T., Li, Y.-G., Lin, W., You, W., Su, Z.-M., & Wang, E.-B.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2014-03-31
- Volume
- 136
- Issue
- 14
- Pages
- 5359-5366
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2323963066
- Cited by
- 462
- References
- 45
- FWCI
- 32.16
- 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.