Chen Hui, Ju Ze-Jia, Zhao Xin-Yu, Fu Yu, Cui Jian-Sheng, Zhang Lu-Lu
College of Environmental Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050000, China.
Biotechnology Laboratory for Pollution Control in Hebei Province, Shijiazhuang 050000, China.
Huan Jing Ke Xue. 2022 Sep 8;43(9):4556-4565. doi: 10.13227/j.hjkx.202111192.
Most studies on antibiotics in groundwater have focused on pollution characteristics, whereas less attention has been paid to the ecological risks of antibiotics and the correlation to environmental parameters. In this study, the groundwater in Shijiazhuang City was selected as the research area. Through high performance liquid chromatography-tandem mass spectrometry (HPLC-MS), the concentration of quinolones (QNs) in the groundwater was analyzed. Correlation analysis was conducted between QNs concentrations and physical-chemical parameters. The results showed that:① the detection frequency of flumequine (FLU) was the highest (100%), followed by enoxacin (ENO) (80.0%) and ciprofloxacin (CIP) (75.0%). ② The concentration of QNs ranged from 3.02 to 98.5 ng·L; in terms of spatial distribution, the highest concentration of QNs appeared at S4 (98.5 ng·L), whereas the lowest concentration was exhibited at S19 (3.02 ng·L). ③ Temperature (), chemical oxygen demand (COD), total dissolved solids (TDS), total number of colonies (BCTC), and pH were significantly correlated with QNs (<0.01 or <0.05) based on correlation analysis. ④ For the spatial distribution of ecological risk, the results showed that the ecological risk at S4 was high, whereas the risks for other sites were low. For the type of QNs, ciprofloxacin (CIP) was at a medium-high risk level, whereas the other QNs were at a low-risk level. Thus, in order to guarantee the ecological safety of groundwater in Shijiazhuang City, more attention should be paid to the risk management and control of antibiotics in groundwater in the future.
大多数关于地下水中抗生素的研究都集中在污染特征上，而对抗生素的生态风险及其与环境参数的相关性关注较少。本研究选取石家庄市的地下水作为研究区域。通过高效液相色谱-串联质谱法（HPLC-MS）分析了地下水中喹诺酮类（QNs）的浓度。对QNs浓度与理化参数进行了相关性分析。结果表明：①氟甲喹（FLU）的检出频率最高（100%），其次是依诺沙星（ENO）（80.0%）和环丙沙星（CIP）（75.0%）。②QNs的浓度范围为3.02至98.5 ng·L；在空间分布方面，QNs的最高浓度出现在S4（98.5 ng·L），而最低浓度出现在S19（3.02 ng·L）。③基于相关性分析，温度（）、化学需氧量（COD）、总溶解固体（TDS）、菌落总数（BCTC）和pH与QNs显著相关（<0.01或<0.05）。④对于生态风险的空间分布，结果表明S4的生态风险较高，而其他站点的风险较低。对于QNs类型，环丙沙星（CIP）处于中高风险水平，而其他QNs处于低风险水平。因此，为了保障石家庄市地下水的生态安全，未来应更加关注地下水中抗生素的风险管理与控制。
