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Temporal variations, distribution, ecological risks, and sources of antibiotics in the marine ecosystem of Dapeng Cove, Shenzhen, South China

文献类型： 外文期刊

作者： Su, Haochang 1 ; Li, Wenjun 1 ; Hu, Xiaojuan 1 ; Xu, Wujie 1 ; Xu, Yu 1 ; Wen, Guoliang 1 ; Cao, Yucheng 1 ;

作者机构： 1.Chinese Acad Fishery Sci, South China Sea Fisheries Res Inst, Guangzhou, Peoples R China

2.Minist Agr & Rural Affairs, Key Lab South China Sea Fishery Resources Exploita, Guangzhou, Peoples R China

3.Chinese Acad Fishery Sci, Shenzhen Base South China Sea Fisheries Res Inst, Shenzhen, Peoples R China

关键词： temporal variation; ecological risk; antibiotics; distribution; source

期刊名称：FRONTIERS IN MARINE SCIENCE （ 影响因子：5.247； 五年影响因子：5.72 ）

ISSN：

年卷期： 2022 年 9 卷

页码：

收录情况： SCI

摘要： IntroductionAntibiotics are widely used in medical and health services, as well as livestock farming. High concentrations of antibiotics are eventually discarded into rivers due to incomplete metabolism and removal. Bays connect rivers to the sea, and have important ecological functions. Although the occurrence, concentrations, and distribution of antibiotics in bays have been widely studied, the temporal variations in the concentration, contamination indicators and sources of antibiotics, as well as related ecological risk factors, remain unclear. MethodsWithin this context, we investigate the sources, concentrations, temporal variations, and ecological risks associated with antibiotics in water and sediment samples from Dapeng Cove, Shenzhen, South China, in three rainy seasons. ResultsEight and ten different antibiotics were detected in the water and sediment samples, respectively. Of these, the detection rates of erythromycin-H2O (ETM) and clarithromycin were highest in both sample types (100%), while trimethoprim (TMP) and ETM were the most abundant antibiotics in the water and sediment samples, respectively. The total concentration (TC) of antibiotics was highest in water and sediment samples from a local domestic sewage site, at 301.96 ng/L and 18.67 ng/g, respectively. Several environmental factors and the concentrations of the predominant antibiotics TMP and ETM were positively correlated. Multiple linear regression analysis revealed TMP and ETM to be the predominant antibiotics influencing the TC of the target antibiotics, with partial regression coefficients of 1.28 and 1.136, respectively (p < 0.01). Notably, ETM had risk quotients of 0.43-7.91, indicating medium to high risk, while samples from the inner bay and domestic sewage outlet had high ecological risk levels. Redundancy analysis showed that the domestic sewage and inner bay samples were clustered closely but separately from the other samples. DiscussionThe results of our study indicate that domestic sewage is the dominant source of antibiotics in the bay.

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