The DOI matches its Crossref record.
Antibiotic Transport via Runoff and Soil Loss
Abstract
Research has verified the occurrence of veterinary antibiotics in manure, agricultural fields, and surface water bodies, yet little research has evaluated antibiotic runoff from agricultural fields. The objective of this study was to evaluate the potential for agricultural runoff to contribute antibiotics to surface water bodies in a worst‐case scenario. Our hypothesis was that there would be significant differences in antibiotic concentrations, partitioning of losses between runoff and sediment, and pseudo‐partitioning coefficients (ratio of sediment concentration to runoff concentration) among antibiotics. An antibiotic solution including tetracycline (TC), chlortetracycline (CTC), sulfathiazole (STZ), sulfamethazine (SMZ), erythromycin (ERY), tylosin (TYL), and monensin (MNS) was sprayed on the soil surface 1 h before rainfall simulation (average intensity = 60 mm h−1 for 1 h). Runoff samples were collected continuously and analyzed for aqueous and sediment antibiotic concentrations. MNS had the highest concentration in runoff, resulting in the highest absolute loss, although the amount of loss associated with sediment transport was <10%. ERY had the highest concentrations in sediment and had a relative loss associated with sediment >50%. TYL also had >50% relative loss associated with sediment, and its pseudo‐partitioning coefficient (P‐PC) was very high. The tetracyclines (TC and CTC) had very low aqueous concentrations and had the lowest absolute losses. If agricultural runoff is proven to result in development of resistance genes or toxicity to aquatic organisms, then erosion control practices could be used to reduce TC, ERY, and TYL losses leaving agricultural fields. Other methods will be needed to reduce transport of other antibiotics.
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Cited by
Christou, A., Agüera, A., Bayona, J. M., Cytryn, E., Fotopoulos, V., Lambropoulou, D., Manaia, C. M., Michael, C., Revitt, M., Schröder, P., et al. (2017) · Water Research · doi:10.1016/j.watres.2017.07.004 · Cited by 590
Chen, H., Jing, L., Teng, Y., & Wang, J. (2018) · Science of The Total Environment · doi:10.1016/j.scitotenv.2017.11.054 · Cited by 325
Joy, S. R., Bartelt-Hunt, S. L., Snow, D. D., Gilley, J. E., Woodbury, B. L., Parker, D. B., Marx, D. B., & Li, X. (2013) · Environmental Science & Technology · doi:10.1021/es4026358 · Cited by 206
Stormwater loadings of antibiotic resistance genes in an urban stream
Garner, E., Benitez, R., von Wagoner, E., Sawyer, R., Schaberg, E., Hession, W. C., Krometis, L.-A. H., Badgley, B. D., & Pruden, A. (2017) · Water Research · doi:10.1016/j.watres.2017.06.046 · Cited by 131
Hamilton, K. A., Garner, E., Joshi, S., Ahmed, W., Ashbolt, N., Medema, G., & Pruden, A. (2020) · Current Opinion in Environmental Science & Health · doi:10.1016/j.coesh.2020.02.012 · Cited by 32
Metadata
- Authors
- Davis, J. G., Truman, C. C., Kim, S. C., Ascough, J. C., & Carlson, K.
- Venue
- Journal of Environmental Quality
- Publisher
- Wiley
- Published
- 2006-11
- Volume
- 35
- Issue
- 6
- Pages
- 2250-2260
- ISSN
- 0047-2425 (ISSN-L)
- 1537-2537
- OpenAlex
- W2073095327
- Cited by
- 195
- References
- 0
- FWCI
- 10.97
- Type
- journal article
- Language
- en
- Open access
- closed
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- Davis, J. G., Truman, C. C., Kim, S. C., Ascough, J. C., & Carlson, K. (2006). Antibiotic Transport via Runoff and Soil Loss. Journal of Environmental Quality. https://doi.org/10.2134/jeq2005.0348
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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.