The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Highly Efficient Performance and Conversion Pathway of Photocatalytic NO Oxidation on SrO-Clusters@Amorphous Carbon Nitride
Open accessAbstract
This work demonstrates the first molecular-level conversion pathway of NO oxidation over a novel SrO-clusters@amorphous carbon nitride (SCO-ACN) photocatalyst, which is synthesized via copyrolysis of urea and SrCO 3 . The inclusion of SrCO 3 is crucial in the formation of the amorphous carbon nitride (ACN) and SrO clusters by attacking the intralayer hydrogen bonds at the edge sites of graphitic carbon nitride (CN). The amorphous nature of ACN can promote the transportation, migration, and transformation of charge carriers on SCO-ACN. And the SrO clusters are identified as the newly formed active centers to facilitate the activation of NO via the formation of Sr-NO δ(+), which essentially promotes the conversion of NO to the final products. The combined effects of the amorphous structure and SrO clusters impart outstanding photocatalytic NO removal efficiency to the SCO-ACN under visible-light irradiation. To reveal the photocatalytic mechanism, the adsorption and photocatalytic oxidation of NO over CN and SCO-ACN are analyzed by in situ DRIFTS, and the intermediates and conversion pathways are elucidated and compared. This work presents a novel in situ DRIFTS-based strategy to explore the photocatalytic reaction pathway of NO oxidation, which is quite beneficial to understand the mechanism underlying the photocatalytic reaction and advance the development of photocatalytic technology for environmental remediation.
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
Ong, W.-J., Tan, L.-L., Ng, Y. H., Yong, S.-T., & Chai, S.-P. (2016) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00075 · Cited by 7,147
Selective Breaking of Hydrogen Bonds of Layered Carbon Nitride for Visible Light Photocatalysis
Kang, Y., Yang, Y., Yin, L., Kang, X., Wang, L., Liu, G., & Cheng, H. (2016) · Advanced Materials · doi:10.1002/adma.201601567 · Cited by 626
West, J. J., Cohen, A., Dentener, F., Brunekreef, B., Zhu, T., Armstrong, B., Bell, M. L., Brauer, M., Carmichael, G., Costa, D. L., et al. (2016) · Environmental Science & Technology · doi:10.1021/acs.est.5b03827 · Cited by 390
Cited by
Mousavi, M., Habibi-Yangjeh, A., & Pouran, S. R. (2018) · Journal of Materials Science: Materials in Electronics · doi:10.1007/s10854-017-8166-x · Cited by 560
Hasija, V., Raizada, P., Sudhaik, A., Sharma, K., Kumar, A., Singh, P., Jonnalagadda, S. B., & Thakur, V. K. (2019) · Applied Materials Today · doi:10.1016/j.apmt.2019.04.003 · Cited by 503
Roles of N-Vacancies over Porous g-C3N4 Microtubes during Photocatalytic NOx Removal
Wang, Z., Huang, Y., Chen, M., Shi, X., Zhang, Y., Cao, J., Ho, W., & Lee, S. C. (2019) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.8b21987 · Cited by 287
Self-citation
Metadata
- Authors
- Cui, W., Li, J., Dong, F., Sun, Y., Jiang, G., Cen, W., Lee, S. C., & Wu, Z.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-08-30
- Volume
- 51
- Issue
- 18
- Pages
- 10682-10690
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2748715882
- Cited by
- 248
- References
- 3
- FWCI
- 8.25
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Highly Efficient Performance and Conversion Pathway of Photocatalytic NO Oxidation on SrO-Clusters@Amorphous Carbon Nitride. https://app.cochat.ai/papers/10.1021/acs.est.7b00974
- The paper
- Cui, W., Li, J., Dong, F., Sun, Y., Jiang, G., Cen, W., Lee, S. C., & Wu, Z. (2017). Highly Efficient Performance and Conversion Pathway of Photocatalytic NO Oxidation on SrO-Clusters@Amorphous Carbon Nitride. Environmental Science & Technology. https://doi.org/10.1021/acs.est.7b00974
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.