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污水处理厂中的抗生素和抗真菌剂:浓度、去除效率、时空变化、预测及生态风险评估

Antibiotics and antimycotics in waste water treatment plants: Concentrations, removal efficiency, spatial and temporal variations, prediction, and ecological risk assessment.

作者信息

Yang Yi, Ji Yaqin, Gao Yuzong, Lin Zi, Lin Yu, Lu Yuan, Zhang Liwen

机构信息

College of Environmental Science and Engineering, Nankai University, Tianjin, 300350, China; State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, Tianjin, 300350, China.

College of Environmental Science and Engineering, Nankai University, Tianjin, 300350, China; State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, Tianjin, 300350, China.

出版信息

Environ Res. 2022 Dec;215(Pt 1):114135. doi: 10.1016/j.envres.2022.114135. Epub 2022 Aug 23.

Abstract

For investigating the spatial, temporal variations and assessing ecological risk of 10 antibiotics and 6 antimycotics, influent sewage water and treated effluent were collected during three different seasons in 19 waste water treatment plants of Tianjin. High performance liquid chromatography tandem mass spectrometry was used to analyze 16 substances. The concentration range of influent samples was not detected (nd) -547.94 ng/L and the concentration range of effluent samples was nd-52.97 ng/L. By calculating the removal efficiency, it was found that Ciprofloxacin (CIP), Ofloxacin (OFL) and Clotrimazole (CTR) were effectively removed. There were significant spatial and temporal differences, the concentration in the dry season was evidently higher than that in the wet and normal seasons, and the northeast was lower than that in the northwest and southeast. By establishing a data set of influent and effluent, the priority features were extracted by feature engineering, which were temperature and NH-N. Under the condition of ensuring the best performance of the models, the influent model with 9 features and the effluent model with 4 features were established, and the quantitative relationship between the above features and concentration was obtained through partial dependence analysis. Except for Moxifloxacin (MOX), Norfloxacin (NOR) and OFL in the influent samples, the RQ values for other antibiotics and antimycotics were less than 0.1. Among the effluent samples, only NOR had an RQ value greater than 0.1, and OFL, MOX, and Pefloxacin (PEF) had RQ values between 0.01 and 0.1. Comparing the observations and predictions individual RQ values, the predictions were ideal and matched the observations. This work effectively assessed environmental impact and provided a valuable reference for evaluating antibiotics and antimycotics ecological toxicity.

摘要

为研究10种抗生素和6种抗真菌药物的时空变化并评估其生态风险,于天津市19座污水处理厂的三个不同季节采集了进水污水和处理后的出水。采用高效液相色谱串联质谱法分析16种物质。进水样品的浓度范围为未检出(nd)-547.94 ng/L,出水样品的浓度范围为nd-52.97 ng/L。通过计算去除效率发现,环丙沙星(CIP)、氧氟沙星(OFL)和克霉唑(CTR)得到了有效去除。存在显著的时空差异,旱季浓度明显高于雨季和正常季节,东北部低于西北部和东南部。通过建立进水和出水数据集,利用特征工程提取优先特征,即温度和NH-N。在确保模型最佳性能的条件下,建立了具有9个特征的进水模型和具有4个特征的出水模型,并通过偏依赖分析获得了上述特征与浓度之间的定量关系。除进水样品中的莫西沙星(MOX)、诺氟沙星(NOR)和OFL外,其他抗生素和抗真菌药物的风险商(RQ)值均小于0.1。在出水样品中,只有NOR的RQ值大于0.1,OFL、MOX和培氟沙星(PEF)的RQ值在0.01至0.1之间。比较观测值和预测的个体RQ值,预测结果理想且与观测值相符。本研究有效评估了环境影响,为评估抗生素和抗真菌药物的生态毒性提供了有价值的参考。

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