Qingdao Solid Waste Pollution Control and Resource Engineering Research Center, School of Environment and Municipal Engineering, Qingdao University of Technology, Qingdao 266033, China; Jinan Environmental Research Academy, Jinan, Shandong 250100, China.
Jinan Environmental Research Academy, Jinan, Shandong 250100, China.
Sci Total Environ. 2022 Dec 20;853:158579. doi: 10.1016/j.scitotenv.2022.158579. Epub 2022 Sep 6.
Understanding the occurrence and fate of antibiotics from different categories is vital to predict their environmental exposure and risks. This study presents the spatiotemporal occurrence of 45 multi-class antibiotics and their associations with suspended particulate matter (SPM) in Xiaoqing River (XRB) and Yellow River (YRB) via 10-month monitoring in East China. Thirty-five and 31 antibiotics were detected in XRB and YRB, respectively. Among them, fluoroquinolones (FQs) had the highest total mean concentration (up to 24.8 μg/L in XRB and 15.4 μg/L in YRB), followed by sulfonamides (SAs) (14.0 μg/L and 15.4 μg/L) and macrolides (MLs) (1.1 μg/L and 1.6 μg/L). Significant spatial-temporal variations were found in both rivers where higher concentrations of antibiotics were observed in urban and densely populated areas during winter and spring. Hydrological factors such as river flow and water volume, instream attenuation and antibiotic usage may cause the observed variabilities in the seasonal patterns of antibiotic pollution. Using linear regression analysis, for the first time, this study confirmed that the total concentrations of MLs (p < 0.05), FQs (p < 0.001) and SAs (p < 0.001) were strongly correlated with the turbidity/total suspended solids in the studied rivers (except MLs in YRB). It is thus suggested that partitioning processes onto SPM might affect the distribution of detected antibiotics in rivers, which are largely dependent on SPM composition and characteristics. The risk quotient (RQ) determined for up to 87 % of individual compound was below 0.1 in both rivers; however, the high joint toxicity reflected by the mixed RQs of detected antibiotics may rise risk alarm for aquatic species. Further aspects regarding active mechanisms of SPM-antibiotic interactions and ecological risks of coexistence of multiple antibiotics need to be investigated.
了解不同类别抗生素的产生和归宿对于预测其环境暴露和风险至关重要。本研究通过在中国东部为期 10 个月的监测,展示了 Xiaoqing 河(XRB)和黄河(YRB)中 45 种多类抗生素的时空分布及其与悬浮颗粒物(SPM)的关系。XRB 和 YRB 中分别检测到 35 种和 31 种抗生素。其中,氟喹诺酮类(FQs)的总平均浓度最高(XRB 中高达 24.8μg/L,YRB 中为 15.4μg/L),其次是磺胺类(SAs)(14.0μg/L 和 15.4μg/L)和大环内酯类(MLs)(1.1μg/L 和 1.6μg/L)。两条河流均存在显著的时空变化,冬季和春季在城市和人口密集地区观察到抗生素浓度较高。河流水文因素如河流流量和水量、河流水体衰减和抗生素使用等可能导致抗生素污染季节性模式的可变性。本研究首次使用线性回归分析证实,MLs(p<0.05)、FQs(p<0.001)和 SAs(p<0.001)的总浓度与研究河流中的浊度/总悬浮物呈强相关性(除 YRB 中的 MLs 外)。因此,推测抗生素在河流中的分布可能受到分配到 SPM 上的过程的影响,这在很大程度上取决于 SPM 的组成和特性。两条河流中高达 87%的单个化合物的风险商(RQ)均低于 0.1;然而,检测到的抗生素混合 RQ 所反映的高联合毒性可能会对水生物种的风险发出警报。需要进一步研究 SPM-抗生素相互作用的主动机制和共存的多种抗生素的生态风险。