The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Degradation Mechanism of Methylene Blue in a Heterogeneous Fenton-like Reaction Catalyzed by Ferrocene
Abstract
Ferrocene (Fc) was used to catalyze a heterogeneous Fenton reaction for the degradation of methylene blue (MB). The high catalytic activity and stability of Fc in the Fc/Fenton-like system are confirmed. MB removal percentage could still maintain at 99.50% after Fc was successively used for three cycles and only 1.12% of Fc dissolved with 100% discoloration of MB, indicating the good reusability and stability of Fc. The reaction rate can be accelerated by improving the dosage of the catalyst and the temperature, and the degradation of MB was found to follow the pseudo-first-order kinetic model and the activated reaction energy was calculated to be 82.71 kJ/mol. MB was determined to be degraded through three different pathways simultaneously during the Fc/Fenton-like process, forming Cl –, NO 3 –, SO 4 2–, and lower molecular weight intermediates: C–N and C–S broke to form the previous rarely reported benzothiazole (determined by liquid chromatography–mass spectrometry), C–N broke to form phenol, and -OH and -HSO 3 connected to MB.
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
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
Cited by
Nguyen, C. H., Fu, C.-C., & Juang, R.-S. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2018.08.110 · Cited by 594
Zhang, L., Wan, S.-S., Li, C.-X., Xu, L., Cheng, H., & Zhang, X.-Z. (2018) · Nano Letters · doi:10.1021/acs.nanolett.8b03178 · Cited by 584
Catalytic Oxidation Process for the Degradation of Synthetic Dyes: An Overview
Javaid, R., & Qazi, U. Y. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16112066 · Cited by 365
Xin, X., Xu, T., Yin, J., Wang, L., & Wang, C. (2015) · Applied Catalysis B: Environmental · doi:10.1016/j.apcatb.2015.04.016 · Cited by 261
Metadata
- Authors
- Wang, Q., Tian, S., & Ning, P.
- Venue
- Industrial & Engineering Chemistry Research
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-12-23
- Volume
- 53
- Issue
- 2
- Pages
- 643-649
- ISSN
- 0888-5885 (ISSN-L)
- 1520-5045
- OpenAlex
- W2072693914
- Cited by
- 322
- References
- 1
- FWCI
- 7.67
- 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.