The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
Graphene Modified Electro-Fenton Catalytic Membrane for in Situ Degradation of Antibiotic Florfenicol
Abstract
The removal of low-concentration antibiotics from water to alleviate the potential threat of antibiotic-resistant bacteria and genes calls for the development of advanced treatment technologies with high efficiency. In this study, a novel graphene modified electro-Fenton (e-Fenton) catalytic membrane (EFCM) was fabricated for in situ degradation of low-concentration antibiotic florfenicol. The removal efficiency was 90%, much higher than that of electrochemical filtration (50%) and single filtration process (27%). This demonstrated that EFCM acted not only as a cathode for e-Fenton oxidation process in a continuous mode but also as a membrane barrier to concentrate and enhance the mass transfer of florfenicol, which increased its oxidation chances. The removal rate of florfenicol by EFCM was much higher (10.2 ± 0.1 mg m –2 h –1 ) than single filtration (2.5 ± 0.1 mg m –2 h –1 ) or batch e-Fenton processes (4.3 ± 0.05 mg m –2 h –1 ). Long-term operation and fouling experiment further demonstrated the durability and antifouling property of EFCM. Four main degradation pathways of florfenicol were proposed by tracking the degradation byproducts. The above results highlighted the feasibility of this integrated membrane catalysis process for advanced water purification.
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
Electric Field Effect in Atomically Thin Carbon Films
Novoselov, K. S., Geim, A. K., Morozov, S. V., Jiang, D., Zhang, Y., Dubonos, S. V., Grigorieva, I. V., & Firsov, A. A. (2004) · Science · doi:10.1126/science.1102896 · Cited by 66,834
Preparation of Graphitic Oxide
Hummers, W. S., & Offeman, R. E. (1958) · Journal of the American Chemical Society · doi:10.1021/ja01539a017 · Cited by 29,920
Improved Synthesis of Graphene Oxide
Marcano, D. C., Kosynkin, D. V., Berlin, J. M., Sinitskii, A., Sun, Z., Slesarev, A., Alemany, L. B., Lu, W., & Tour, J. M. (2010) · ACS Nano · doi:10.1021/nn1006368 · Cited by 11,989
Graphene and Graphene Oxide: Synthesis, Properties, and Applications
Zhu, Y., Murali, S., Cai, W., Li, X., Suk, J. W., Potts, J. R., & Ruoff, R. S. (2010) · Advanced Materials · doi:10.1002/adma.201001068 · Cited by 10,522
Science and technology for water purification in the coming decades
Shannon, M. A., Bohn, P. W., Elimelech, M., Georgiadis, J. G., Mariñas, B. J., & Mayes, A. M. (2008) · Nature · doi:10.1038/nature06599 · Cited by 8,465
Electro-Fenton Process and Related Electrochemical Technologies Based on Fenton’s Reaction Chemistry
Brillas, E., Sirés, I., & Oturan, M. A. (2009) · Chemical Reviews · doi:10.1021/cr900136g · Cited by 3,437
Advanced Oxidation Processes in Water/Wastewater Treatment: Principles and Applications. A Review
Oturan, M. A., & Aaron, J.-J. (2014) · Critical Reviews in Environmental Science and Technology · doi:10.1080/10643389.2013.829765 · Cited by 2,272
Tunable sieving of ions using graphene oxide membranes
Abraham, J., Vasu, K. S., Williams, C. D., Gopinadhan, K., Su, Y., Cherian, C. T., Dix, J., Prestat, E., Haigh, S. J., Grigorieva, I. V., et al. (2017) · Nature Nanotechnology · doi:10.1038/nnano.2017.21 · Cited by 1,875
Pei, S., Zhao, J., Du, J., Ren, W., & Cheng, H.-M. (2010) · Carbon · doi:10.1016/j.carbon.2010.08.006 · Cited by 1,621
Oil/Water Separation with Selective Superantiwetting/Superwetting Surface Materials
Chu, Z., Feng, Y., & Seeger, S. (2015) · Angewandte Chemie International Edition · doi:10.1002/anie.201405785 · Cited by 1,305
Cited by
Yi, Q., Ji, J., Shen, B., Dong, C., Liu, J., Zhang, J., & Xing, M. (2019) · Environmental Science & Technology · doi:10.1021/acs.est.9b01676 · Cited by 834
Catalytic membrane-based oxidation-filtration systems for organic wastewater purification: A review
Li, N., Lu, X., He, M., Duan, X., Yan, B., Chen, G., & Wang, S. (2021) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2021.125478 · Cited by 292
Metadata
- Authors
- Jiang, W.-L., Xia, X., Han, J.-L., Ding, Y.-C., Haider, M. R., & Wang, A.-J.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-08-01
- Volume
- 52
- Issue
- 17
- Pages
- 9972-9982
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2886166568
- Cited by
- 293
- References
- 54
- FWCI
- 9.55
- 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.