The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Insights into the fate and removal of antibiotics and antibiotic resistance genes using biological wastewater treatment technology
Abstract
Abstract Antibiotics have become a critical concern worldwide due to the severe threats to human health and eco-environment. This review summarizes the fate of antibiotics and antibiotics resistance genes (ARGs) by biological treatment technologies and combined processes in wastewater treatment plants (WWTPs). Adsorption and biodegradation are the two major removal pathways for antibiotics. Adsorption is the main mechanism of antibiotics removal for Tetracyclines, Fluoroquinolones and Macrolides, while biodegradation is the pathway of antibiotics removal for Sulfonamides and β-Lactams. Additionally, the microbial co-metabolism process contributes to the biodegradation of antibiotics. In WWTPs, the antibiotics removal pathway and ARGs accumulation by different biological treatment technologies were provided. The ease of construction and set-up, simplicity of operation, flexibility in adapting to the fluctuations, capital and operating costs were discussed. Overall, the combined technologies should be further investigated as great application prospects in the treatment of antibiotics and alleviation of ARGs risk in the future.
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
Wang, J., & Wang, S. (2018) · Chemical Engineering Journal · doi:10.1016/j.cej.2017.11.059 · Cited by 4,087
Rizzo, L., Manaia, C., Merlin, C., Schwartz, T., Dagot, C., Ploy, M. C., Michael, I., & Fatta-Kassinos, D. (2013) · Science of The Total Environment · doi:10.1016/j.scitotenv.2013.01.032 · Cited by 2,493
Interconnected microbiomes and resistomes in low-income human habitats
Pehrsson, E. C., Tsukayama, P., Patel, S., Mejía-Bautista, M., Sosa-Soto, G., Navarrete, K. M., Calderon, M., Cabrera, L., Hoyos-Arango, W., Bertoli, M. T., et al. (2016) · Nature · doi:10.1038/nature17672 · Cited by 607
Cited by
Mutuku, C., Gazdag, Z., & Melegh, S. (2022) · World Journal of Microbiology and Biotechnology · doi:10.1007/s11274-022-03334-0 · Cited by 280
Metadata
- Authors
- Zhu, T.-T., Su, Z.-X., Lai, W.-X., Zhang, Y.-B., & Liu, Y.-W.
- Venue
- Science of The Total Environment
- Publisher
- Elsevier BV
- Published
- 2021-07
- Volume
- 776
- Pages
- 145906
- ISSN
- 0048-9697 (ISSN-L)
- OpenAlex
- W3132228807
- Cited by
- 393
- References
- 3
- FWCI
- 14.31
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Insights into the fate and removal of antibiotics and antibiotic resistance genes using biological wastewater treatment technology. https://app.cochat.ai/papers/10.1016/j.scitotenv.2021.145906
- The paper
- Zhu, T.-T., Su, Z.-X., Lai, W.-X., Zhang, Y.-B., & Liu, Y.-W. (2021). Insights into the fate and removal of antibiotics and antibiotic resistance genes using biological wastewater treatment technology. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2021.145906
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.