The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Surface-loaded metal nanoparticles for peroxymonosulfate activation: Efficiency and mechanism reconnaissance
Open accessAbstract
Abstract This study comparatively examines the efficiency and mechanism of peroxymonosulfate (PMS) activation by twenty metal and metalloid nanoparticles loaded on alumina. Among the tested metals, Co exhibited the highest capacity for PMS activation and accompanying oxidative degradation of trichlorophenol (TCP), a representative organic pollutant in water. Other transition metals such as Mn, Cu, Mo, Ni, and W exhibited moderate activity, while Ti, Zn, Fe, V, Cr, Al, and Si were mostly ineffective. In contrast, all of the tested noble metals (Ru, Rh, Pd, Ir, Pt, and Au) except Ag enabled rapid PMS activation and TCP degradation, outperforming Co at acidic pH. Transition metals with noticeable PMS activation capacity differed from noble metals in several aspects, such as the effect of radical quenching on 4-chlorophenol (4-CP) degradation, electron paramagnetic resonance spectral features, oxidative conversion of bromide into bromate, and oxidation intermediate distribution. They were also distinguishable with respect to the dependence of PMS degradation on the presence of an electron donor (i.e., TCP), the capacity to activate peroxydisulfate (PDS), and the electrochemical response upon addition of PMS and 4-CP when fabricated into electrodes. Based on these observations, we categorized surface-loaded metal nanoparticles into two groups with distinctive PMS activation mechanisms: (i) transition metals such as Co, Cu, and Mo that activate PMS to produce highly reactive sulfate radicals (SO4 −); and (ii) noble metals such as Rh, Ir, and Au that mediated direct electron transfer from organic compound (electron donor) to persulfate (electron acceptor) without involving the formation of radical species.
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
Projector augmented-wave method
Blöchl, P. E. (1994) · Physical Review B · doi:10.1103/physrevb.50.17953 · Cited by 92,732
Special points for Brillouin-zone integrations
Monkhorst, H. J., & Pack, J. D. (1976) · Physical Review B · doi:10.1103/physrevb.13.5188 · Cited by 71,721
Metal-Free Carbocatalysis in Advanced Oxidation Reactions
Duan, X., Sun, H., & Wang, S. (2018) · Accounts of Chemical Research · doi:10.1021/acs.accounts.7b00535 · Cited by 1,329
Yun, E.-T., Lee, J. H., Kim, J., Park, H.-D., & Lee, J. (2018) · Environmental Science & Technology · doi:10.1021/acs.est.8b00959 · Cited by 1,175
Self-citationInsights into Heterogeneous Catalysis of Persulfate Activation on Dimensional-Structured Nanocarbons
Duan, X., Sun, H., Kang, J., Wang, Y., Indrawirawan, S., & Wang, S. (2015) · ACS Catalysis · doi:10.1021/acscatal.5b00774 · Cited by 799
Zhang, T., Chen, Y., Wang, Y., Le Roux, J., Yang, Y., & Croué, J.-P. (2014) · Environmental Science & Technology · doi:10.1021/es501218f · Cited by 798
Activation of Persulfates by Graphitized Nanodiamonds for Removal of Organic Compounds
Lee, H., Kim, H.-I., Weon, S., Choi, W., Hwang, Y. S., Seo, J., Lee, C., & Kim, J.-H. (2016) · Environmental Science & Technology · doi:10.1021/acs.est.6b02079 · Cited by 688
Self-citation
Cited by
Lim, J., Yang, Y., & Hoffmann, M. R. (2019) · Environmental Science & Technology · doi:10.1021/acs.est.9b01449 · Cited by 404
Zhou, X., Zhao, Q., Wang, J., Chen, Z., & Chen, Z. (2021) · Chemical Engineering Journal · doi:10.1016/j.cej.2020.128312 · Cited by 269
Metadata
- Authors
- Ahn, Y.-Y., Bae, H., Kim, H.-I., Kim, S.-H., Kim, J.-H., Lee, S.-G., & Lee, J.
- Venue
- Applied Catalysis B: Environmental
- Publisher
- Elsevier BV
- Published
- 2019-02
- Volume
- 241
- Pages
- 561-569
- ISSN
- 0926-3373 (ISSN-L)
- OpenAlex
- W2891606388
- Cited by
- 416
- References
- 7
- FWCI
- 10.93
- 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: Surface-loaded metal nanoparticles for peroxymonosulfate activation: Efficiency and mechanism reconnaissance. https://app.cochat.ai/papers/10.1016/j.apcatb.2018.09.056
- The paper
- Ahn, Y.-Y., Bae, H., Kim, H.-I., Kim, S.-H., Kim, J.-H., Lee, S.-G., & Lee, J. (2019). Surface-loaded metal nanoparticles for peroxymonosulfate activation: Efficiency and mechanism reconnaissance. Applied Catalysis B: Environmental. https://doi.org/10.1016/j.apcatb.2018.09.056
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.