The DOI matches its Crossref record; 218 of the 218 references it cites were found in a registry or an index.
Nanocarbon-Based Catalytic Ozonation for Aqueous Oxidation: Engineering Defects for Active Sites and Tunable Reaction Pathways
Open accessAbstract
Abstract Catalytic ozonation relies on the direct oxidation by ozone (O3) and indirect oxidation by reactive oxygen species (ROS) produced from activated ozone molecules, and the technique has been recognized as one of the most promising remediation technologies in water decontamination. Functional nanocarbon materials have been extensively exploited as heterogeneous catalysts to drive catalytic ozonation because of the environmental-benign process, easy applicability, and high efficiency. Nevertheless, the bottlenecks in the processes are the economical production of high-performance and robust carbocatalysts and the debatable oxidation regimes. Different active sites have been suggested in engineered nanocarbons, and the corresponding mechanisms of the carbocatalytic ozonation are ambiguous including the evolution of various ROS, occurrence of radical and nonradical reaction pathways, selectivity toward organics, and tunable oxidation capacity. In this Review, we will showcase the roadmap of the development of reaction-oriented carbocatalysts and clarify the arguments in the mechanisms of the intrinsic active sites, identification of ROS, reaction intermediates, and oxidation pathways in carbocatalytic ozonation. We will provide critical comments and innovative strategies on the mechanistic investigations in carbon-based ozonation from the molecular level (electronic structures) to macroscale (kinetics), by deliberate radical screening/capture techniques, advanced characterizations and in situ analysis, and theoretical computations. More importantly, the critical issues and future directions will be proposed in the rational material/system design, mechanistic exploration, and the implementation of this powerful technology in catalytic oxidation and real wastewater treatment.
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
Helical microtubules of graphitic carbon
Iijima, S. (1991) · Nature · doi:10.1038/354056a0 · Cited by 43,098
Geim, A. K., & Novoselov, K. S. (2007) · Nature Materials · doi:10.1038/nmat1849 · Cited by 39,979
Buxton, G. V., Greenstock, C. L., Helman, W. P., & Ross, A. B. (1988) · Journal of Physical and Chemical Reference Data · doi:10.1063/1.555805 · Cited by 12,332
The chemistry of graphene oxide
Dreyer, D. R., Park, S., Bielawski, C. W., & Ruoff, R. S. (2010) · Chem. Soc. Rev. · doi:10.1039/b917103g · Cited by 11,653
STERNBERGER, L. A., HARDY, P. H., CUCULIS, J. J., & MEYER, H. G. (1970) · Journal of Histochemistry & Cytochemistry · doi:10.1177/18.5.315 · Cited by 5,042
Generation and Detection of Reactive Oxygen Species in Photocatalysis
Nosaka, Y., & Nosaka, A. Y. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00161 · Cited by 4,771
Persulfate-Based Advanced Oxidation: Critical Assessment of Opportunities and Roadblocks
Lee, J., von Gunten, U., & Kim, J.-H. (2020) · Environmental Science & Technology · doi:10.1021/acs.est.9b07082 · Cited by 3,585
Graphene Oxide: Preparation, Functionalization, and Electrochemical Applications
Chen, D., Feng, H., & Li, J. (2012) · Chemical Reviews · doi:10.1021/cr300115g · Cited by 3,531
Structural Defects in Graphene
Banhart, F., Kotakoski, J., & Krasheninnikov, A. V. (2011) · ACS Nano · doi:10.1021/nn102598m · Cited by 3,340
Ozonation of drinking water: Part I. Oxidation kinetics and product formation
von Gunten, U. (2003) · Water Research · doi:10.1016/s0043-1354(02)00457-8 · Cited by 2,448
Metadata
- Authors
- Wang, Y., Duan, X., Xie, Y., Sun, H., & Wang, S.
- Venue
- ACS Catalysis
- Publisher
- American Chemical Society (ACS)
- Published
- 2020-11-03
- Volume
- 10
- Issue
- 22
- Pages
- 13383-13414
- ISSN
- 2155-5435 (ISSN-L)
- OpenAlex
- W3096777548
- Cited by
- 313
- References
- 218
- FWCI
- 9.23
- 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: Nanocarbon-Based Catalytic Ozonation for Aqueous Oxidation: Engineering Defects for Active Sites and Tunable Reaction Pathways. https://app.cochat.ai/papers/10.1021/acscatal.0c04232
- The paper
- Wang, Y., Duan, X., Xie, Y., Sun, H., & Wang, S. (2020). Nanocarbon-Based Catalytic Ozonation for Aqueous Oxidation: Engineering Defects for Active Sites and Tunable Reaction Pathways. ACS Catalysis. https://doi.org/10.1021/acscatal.0c04232
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.