付雨,剧泽佳,付耀萱,田沛龙,张璐璐,赵鑫宇,陈慧,崔建升.白洋淀优势水生植物中喹诺酮类抗生素的生物富集特征及其与环境因子相关性研究[J].环境科学学报,2021,41(9):3620-3630
白洋淀优势水生植物中喹诺酮类抗生素的生物富集特征及其与环境因子相关性研究
- The bioaccumulation of Quinolones (QNs) in the dominant macrophytes and the correlation with environmental factors in Baiyangdian Lake
- 基金项目：河北省自然科学基金（No.D2019208152）
- 付雨
- 河北科技大学环境科学与工程学院, 石家庄 050000
- 剧泽佳
- 河北科技大学环境科学与工程学院, 石家庄 050000
- 付耀萱
- 河北科技大学环境科学与工程学院, 石家庄 050000
- 田沛龙
- 河北科技大学环境科学与工程学院, 石家庄 050000
- 张璐璐
- 1. 河北科技大学环境科学与工程学院, 石家庄 050000;2. 河北省污染防治生物技术实验室, 石家庄 050000
- 赵鑫宇
- 河北科技大学环境科学与工程学院, 石家庄 050000
- 陈慧
- 河北科技大学环境科学与工程学院, 石家庄 050000
- 崔建升
- 1. 河北科技大学环境科学与工程学院, 石家庄 050000;2. 河北省污染防治生物技术实验室, 石家庄 050000
- 摘要：利用超高效液相色谱串联质谱法（HPLC-MS）对白洋淀水体和水生植物中喹诺酮类（Quinolones，QNs）抗生素进行检测，并探究QNs在水生植物的生物富集特征及其与环境因子的相关性.研究结果表明：①在水生植物中，氧氟沙星（Ofloxacin，OFL）和氟甲喹（Flumequine，FLU）的检出率最高（Freq=100%），其次为马波沙星（Ciprofloxacin，CIP）和氟罗沙星（Fleroxacin，FLE）（Freq≥50%），其余QNs检出率小于40%（Freq≤40%）；水生植物中∑QNs浓度为34.6~290.9 ng·g-1，其中FLU和OFL平均浓度最高；②在白洋淀水体中，∑QNs浓度为0.738~2004.000 ng·L-1，其中FLU平均浓度最高（168.0 ng·L-1）；③QNs在水生植物中的生物富集系数（Bioconcentration factors，BCF）（L·kg-1）为170.1（BCFORB）~2 836.0 L·kg-1（BCFFLU），这表明QNs在水生植物中的生物富集能力较高；④检出率较高的FLU、OFL、FLE的营养放大因子（Trophic magnification factors，TMF）为0.712（TMFQNs）~3.646（TMFFLE），其中OFL呈营养放大，而FLU、FLE呈营养稀释；⑤相关性分析结果表明ENR、MAR、OFL和ORB的BCF与水深（WD）、温度（T）、透明度（SD）、溶解氧（DO）和沉积物总有机碳（TOCs）呈显著正相关；而与化学需氧量（COD）、总磷（TP）、总氮（TN）、NO3-N、PO43-、沉积物总碳（TCs）、沉积物总氮（TNs）和NH3-Ns呈显著负相关；TMFFLU和TMFFLE与TP、TN、NO3-N、NH3-Ns呈显著负相关，这表明生活污水和养殖废水对QNs的贡献最大.本研究结果将为提高水生植物对抗生素的修复效果，以及白洋淀生态修复和风险管控提供理论依据和数据支撑.
- Abstract：The concentrations of Quinolones (QNs) in water and macrophytes samples were determined by using high performance liquid chromatography tandem mass spectrometry (HPLC-MS). Correlation analysis was conducted between the bioaccumulation for QNs in macrophytes and environmental parameters in Baiyangdian Lake. The results showed that: ①The detection frequency of Ofloxacin (OFL) and Flumequine (FLU) in macrophytes was the highest (Freq=100%), followed by Ciprofloxacin (CIP) and Fleroxacin (FLE) (Freq≥50%), while the detection rate of other QNs was less than 40% (Freq≤40%); While in the macrophyts, the concentrations of ∑QNs varied from 34.6 ng·g-1 to 290.9 ng·g-1, thereinto, the average concentrations of FLU and OFL were the highest; ②The concentrations of ∑QNs in water varied from 0.738 to 2 004.000 ng·L-1, and the average concentrations of FLU (168.0 ng·L-1) was the highest. ③The bioaccumulation factors (BCF) of QNs in macrophytes were in the range of 170.1 (BCFORB)~2836.0 (BCFFLU) L·kg-1, which indicated that the bioaccumulation of QNs was high in macrophytes. ④The trophic magnification factors (TMF) of FLE, FLU, and OFL varied from 0.712 (TMFQNs) to 3.646 (TMFFLE), indicating OFL appeared trophic magnification, while FLU and FLE appeared trophic dilution; ⑤Through correlation analysis, the results showed that the BCF of ENR, MAR, OFL and ORB were significant positively correlated with Water depth (WD), Temperature (T), Secchi depth (SD), Dissolved oxygen (DO), and Total organic carbon (TOCs); while significant negatively correlated with Chemical oxygen demand (COD), Total phosphorus (TP), Total nitrogen (TN), Nitrate nitrogen (NO3--N), PO43-, Total carbon (TCs), Total phosphorus (TNs), and NH3-Ns. TMFFLU and TMFFLE were significantly negative correlated to TP, TN, NO3-N, and NH3-Ns, indicating that domestic sewage and aquaculture wastewater contributed most to QNS. The results of this study will provide theoretical basis and support for improving the remediation of macrophytes on antibiotics, ecological restoration and risk control of Baiyangdian Lake.
