The DOI matches its Crossref record.
Robust Mesoporous Manganese Oxide Catalysts for Water Oxidation
Abstract
Inspired by the natural oxygen evolution reaction of Photosystem II, the earth-abundant and inexpensive manganese oxides (MnO x ) have been recognized for their great potential as highly efficient and robust materials for water oxidation reaction (WORs). To date, most of the heterogeneous, synthesized MnO x catalysts still exhibit lower activities for WORs, in comparison to RuO 2 and IrO 2 . Herein, we report a single-step and scalable synthesis method for mesoporous MnO x materials that is developed through a soft-templated method. This method allowed precise control of Mn 3+ -rich Mn 2 O 3 structure as well as pore sizes and crystallinity of these mesoporous MnO x . These catalysts were investigated for both photochemical and electrochemical water oxidation, and they presented a superior activity for water oxidation. The highest turnover frequency of 1.05 × 10 –3 s –1 was obtained, which is comparable with those for precious metal oxide based catalysts (RuO 2 and IrO 2 ). Our results illustrate a guideline to the design and synthesis of inexpensive and highly active heterogeneous catalysts for water oxidation.
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
Cited by
Ye, C., Li, J.-X., Li, Z.-J., Li, X.-B., Fan, X.-B., Zhang, L.-P., Chen, B., Tung, C.-H., & Wu, L.-Z. (2015) · ACS Catalysis · doi:10.1021/acscatal.5b02185 · Cited by 490
Wu, J., Liu, M., Chatterjee, K., Hackenberg, K. P., Shen, J., Zou, X., Yan, Y., Gu, J., Yang, Y., Lou, J., et al. (2016) · Advanced Materials Interfaces · doi:10.1002/admi.201500669 · Cited by 176
Metadata
- Authors
- Kuo, C.-H., Mosa, I. M., Poyraz, A. S., Biswas, S., El-Sawy, A. M., Song, W., Luo, Z., Chen, S.-Y., Rusling, J. F., He, J., & Suib, S. L.
- Venue
- ACS Catalysis
- Publisher
- American Chemical Society (ACS)
- Published
- 2015-02-16
- Volume
- 5
- Issue
- 3
- Pages
- 1693-1699
- ISSN
- 2155-5435 (ISSN-L)
- OpenAlex
- W2329797616
- Cited by
- 193
- References
- 0
- FWCI
- 8.60
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Robust Mesoporous Manganese Oxide Catalysts for Water Oxidation. https://app.cochat.ai/papers/10.1021/cs501739e
- The paper
- Kuo, C.-H., Mosa, I. M., Poyraz, A. S., Biswas, S., El-Sawy, A. M., Song, W., Luo, Z., Chen, S.-Y., Rusling, J. F., He, J., & Suib, S. L. (2015). Robust Mesoporous Manganese Oxide Catalysts for Water Oxidation. ACS Catalysis. https://doi.org/10.1021/cs501739e
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.
