The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
The Roles of Reactive Species in Micropollutant Degradation in the UV/Free Chlorine System
Abstract
The UV/free chlorine process forms reactive species such as hydroxyl radicals (HO(•)), chlorine atoms (Cl(•)), Cl2(•-), and O(•-). The specific roles of these reactive species in aqueous micropollutant degradation in the UV/chlorine process under different conditions were investigated using a steady-state kinetic model. Benzoic acid (BA) was chosen as the model micropollutant. The steady-state kinetic model developed fitted the experimental data well. The results showed that HO(•) and Cl(•) contributed substantially to BA degradation, while the roles of the other reactive species such as Cl2(•-) and O(•-) were negligible. The overall degradation rate of BA decreased as the pH increased from 6 to 9. In particular, the relative contributions of HO(•) and Cl(•) to the degradation changed from 34.7% and 65.3% respectively at pH 6 to 37.9% and 62% respectively at pH 9 under the conditions evaluated. Their relative contributions also changed slightly with variations in chlorine dosage, BA concentration and chloride concentration. The scavenging effect of natural organic matter (NOM) on Cl(•) was relatively small compared to that on HO(•), while bicarbonate preferentially reduced the contribution of Cl(•). This study is the first to demonstrate the contributions of different reactive species to the micropollutant degradation in the UV/chlorine system under environmentally relevant conditions.
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
Sharpless, C. M., & Linden, K. G. (2003) · Environmental Science & Technology · doi:10.1021/es025814p · Cited by 275
Soltermann, F., Lee, M., Canonica, S., & von Gunten, U. (2013) · Water Research · doi:10.1016/j.watres.2012.09.034 · Cited by 109
Weng, S., Li, J., & Blatchley, E. R. (2012) · Water Research · doi:10.1016/j.watres.2012.02.017 · Cited by 107
Cited by
Wang, J., & Wang, S. (2021) · Chemical Engineering Journal · doi:10.1016/j.cej.2020.128392 · Cited by 1,332
Removal of 2-MIB and geosmin using UV/persulfate: Contributions of hydroxyl and sulfate radicals
Xie, P., Ma, J., Liu, W., Zou, J., Yue, S., Li, X., Wiesner, M. R., & Fang, J. (2015) · Water Research · doi:10.1016/j.watres.2014.11.029 · Cited by 592
Self-citationMultiple Roles of Dissolved Organic Matter in Advanced Oxidation Processes
Yang, X., Rosario-Ortiz, F. L., Lei, Y., Pan, Y., Lei, X., & Westerhoff, P. (2022) · Environmental Science & Technology · doi:10.1021/acs.est.2c01017 · Cited by 459
Chuang, Y.-H., Chen, S., Chinn, C. J., & Mitch, W. A. (2017) · Environmental Science & Technology · doi:10.1021/acs.est.7b03570 · Cited by 441
Chen, S., Cai, M., Liu, Y., Zhang, L., & Feng, L. (2019) · Water Research · doi:10.1016/j.watres.2018.11.044 · Cited by 406
Wang, J., Wan, Y., Ding, J., Wang, Z., Ma, J., Xie, P., & Wiesner, M. R. (2020) · Environmental Science & Technology · doi:10.1021/acs.est.0c02061 · Cited by 359
Yang, Y., Pignatello, J. J., Ma, J., & Mitch, W. A. (2016) · Water Research · doi:10.1016/j.watres.2015.11.049 · Cited by 308
Zhou, Y., Chen, C., Guo, K., Wu, Z., Wang, L., Hua, Z., & Fang, J. (2020) · Water Research · doi:10.1016/j.watres.2020.116231 · Cited by 228
Self-citationRemucal, C. K., & Manley, D. (2016) · Environmental Science: Water Research & Technology · doi:10.1039/c6ew00029k · Cited by 214
Li, W., Jain, T., Ishida, K., & Liu, H. (2017) · Environmental Science: Water Research & Technology · doi:10.1039/c6ew00242k · Cited by 151
Ghanbari, F., Yaghoot-Nezhad, A., Wacławek, S., Lin, K.-Y. A., Rodríguez-Chueca, J., & Mehdipour, F. (2021) · Chemosphere · doi:10.1016/j.chemosphere.2021.131455 · Cited by 87
Ren, W., Huang, X., Wang, L., Liu, X., Zhou, Z., Wang, Y., Lin, C., He, M., & Ouyang, W. (2021) · Chemical Engineering Journal · doi:10.1016/j.cej.2021.131876 · Cited by 75
Metadata
- Authors
- Fang, J., Fu, Y., & Shang, C.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2014-01-23
- Volume
- 48
- Issue
- 3
- Pages
- 1859-1868
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2318792504
- Cited by
- 1,031
- References
- 4
- FWCI
- 20.07
- 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.
