The DOI matches its Crossref record; 86 of the 86 references it cites were found in a registry or an index.
Antibiotics in soil and water in China–a systematic review and source analysis
Abstract
With the high production and consumption of antibiotics in recent years due to increasing economic development and improving population health, China is facing serious antibiotic pollution in the environment, and it is becoming a significant threat to ecology and human health. This study explores the spatial distribution patterns of 65 antibiotics in soil, surface water and coastal water based on a systematic review. Potential emission sources of antibiotics are also analyzed using data extracted from the reviewed literature. The results suggest that China has very high antibiotic detection rates of 100%, 98.0% and 96.4% for soil, surface water and coastal water, respectively. Regions with high antibiotic levels are mainly located in Bohai Bay, including the Beijing‒Tianjin‒Hebei region, Liaoning and Shandong Provinces, and Yangtze River. Tetracyclines (TCs) and quinolones (QNs) are the dominant antibiotics observed in soil and are mainly attributed to the use of manure as fertilizer and the reuse of domestic wastewater. Sulfonamides (SAs), macrolides (MLs), TCs and QNs are the dominant antibiotics observed in surface water and are mainly attributed to aquaculture and the emission of domestic sewage. QNs are the dominant antibiotics observed in coastal water and are mainly attributed to marine cultivation. The detection frequencies and concentrations of TCs, QNs, SAs and MLs in both soil and water are much higher than those in other developed countries. Suggestions including restricting antibiotic usages in livestock farming and aquaculture, innovation of wastewater treatment technology to improve antibiotic removal rate, and establishing guidelines on antibiotic concentration for wastewater discharge and organic fertilizer are provided.
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
Kolpin, D. W., Furlong, E. T., Meyer, M. T., Thurman, E. M., Zaugg, S. D., Barber, L. B., & Buxton, H. T. (2002) · Environmental Science & Technology · doi:10.1021/es011055j · Cited by 7,953
Zhang, Q.-Q., Ying, G.-G., Pan, C.-G., Liu, Y.-S., & Zhao, J.-L. (2015) · Environmental Science & Technology · doi:10.1021/acs.est.5b00729 · Cited by 3,852
The human microbiome: at the interface of health and disease
Cho, I., & Blaser, M. J. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3182 · Cited by 3,449
Sarmah, A. K., Meyer, M. T., & Boxall, A. B. A. (2006) · Chemosphere · doi:10.1016/j.chemosphere.2006.03.026 · Cited by 3,326
Diverse and abundant antibiotic resistance genes in Chinese swine farms
Zhu, Y.-G., Johnson, T. A., Su, J.-Q., Qiao, M., Guo, G.-X., Stedtfeld, R. D., Hashsham, S. A., & Tiedje, J. M. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1222743110 · Cited by 2,440
Occurrence of Antibiotics in the Aquatic Environment
Hirsch, R., Ternes, T., Haberer, K., & Kratz, K.-L. (1999) · Science of The Total Environment · doi:10.1016/s0048-9697(98)00337-4 · Cited by 2,140
Kasprzyk-Hordern, B., Dinsdale, R. M., & Guwy, A. J. (2009) · Water Research · doi:10.1016/j.watres.2008.10.047 · Cited by 1,678
Rodriguez-Mozaz, S., Chamorro, S., Marti, E., Huerta, B., Gros, M., Sànchez-Melsió, A., Borrego, C. M., Barceló, D., & Balcázar, J. L. (2015) · Water Research · doi:10.1016/j.watres.2014.11.021 · Cited by 1,623
Effluent from drug manufactures contains extremely high levels of pharmaceuticals
Larsson, D. G. J., de Pedro, C., & Paxeus, N. (2007) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2007.07.008 · Cited by 1,612
Review of antibiotic resistance in China and its environment
Qiao, M., Ying, G.-G., Singer, A. C., & Zhu, Y.-G. (2018) · Environment International · doi:10.1016/j.envint.2017.10.016 · Cited by 1,494
Cited by
Wu, Y., Cheng, H., Pan, D., Zhang, L., Li, W., Song, Y., Bian, Y., Jiang, X., & Han, J. (2021) · Journal of Environmental Management · doi:10.1016/j.jenvman.2021.112912 · Cited by 84
Self-citationWang, C., Jiang, Y., Shao, Y., Chen, Z., Gao, Y., Liang, J., Gao, J., Fang, F., & Guo, J. (2024) · Applied Soil Ecology · doi:10.1016/j.apsoil.2023.105130 · Cited by 17
Metadata
- Authors
- Lyu, J., Yang, L., Zhang, L., Ye, B., & Wang, L.
- Venue
- Environmental Pollution
- Publisher
- Elsevier BV
- Published
- 2020-11
- Volume
- 266
- Issue
- Pt 1
- Pages
- 115147
- ISSN
- 0269-7491 (ISSN-L)
- OpenAlex
- W3039629477
- Cited by
- 549
- References
- 86
- FWCI
- 4.84
- 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: Antibiotics in soil and water in China–a systematic review and source analysis. https://app.cochat.ai/papers/10.1016/j.envpol.2020.115147
- The paper
- Lyu, J., Yang, L., Zhang, L., Ye, B., & Wang, L. (2020). Antibiotics in soil and water in China–a systematic review and source analysis. Environmental Pollution. https://doi.org/10.1016/j.envpol.2020.115147
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.
