Zhou Hai-Dong, Huang Li-Ping, Chen Xiao-Meng, Li Dan-Yan, Li Xin, Cui Jin-Yu
School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai 200093, China.
Huan Jing Ke Xue. 2021 Feb 8;42(2):850-859. doi: 10.13227/j.hjkx.202007048.
Four antibiotics[azithromycin (AZM), sulfamethoxazole (SMZ), ciprofloxacin (CIP), and tetracycline (TCY)], and the antibiotic resistance genes (ARGs)[sulfonamides ( and ), tetracyclines ( and ), quinolones ( and ), macrolides (), and 16S rDNA] were selected as target compounds. Artificial ecosystems were constructed with combinations of two emergent plants and (+, algae+, algae+, and algae++) in an indoor-simulated river system. Throughout the artificial ecosystems, changes in antibiotic concentrations and other pollution indicators (i.e., COD, NH-N, TP, and TN) were monitored in different media (the aqueous phase, sediment phase, and in plants), and the distribution and removal of ARGs in aqueous and sediment phases were explored. Removal of the target compounds was calculated based on mass balance, and the correlation between ARG abundance and environmental factors in the aqueous and sediment phases was analyzed. The results showed that the constructed artificial ecosystem achieved removal rates of COD, NH-N, TP, and TN ranging from 60.2% to 74.8%, 63.4% to 77.4%, 64.0% to 73.2%, and 46.8% to 54.8%, respectively. The antibiotics in the aqueous phase were notably removed and the artificial ecosystem 'algae++' achieved the best removal efficiency for the four antibiotics. Removal rates of the antibiotics in the sediment phase were ranked in the order TCY>CIP>AZM>SMZ; the removal efficiency of TCY in the 'algae++' system reached up to 53.5%. The total removal rates of antibiotics obtained by the ecosystems were ranked in the following order:algae++ > algae+ > algae+ > +. Removal of the four ARGs was very efficient and was higher in the aqueous phase than in the sediment phase. Correlations between the ARGs, the other pollution indicators, and the antibiotics were variable; and environmental factors were correlated in the aqueous phase, while AZM and its corresponding ARGs were not significantly correlated in the sediment phase. The results showed that ARGs can be targeted under corresponding antibiotic pressure and other types of environmental pressure. In the study system, the concentrations of antibiotics did not directly affect the transmission of ARGs. Overall, this study shows that artificial ecosystems constructed with emergent plants and can be effective at purifying water and reducing the environmental risks of antibiotics in urban rivers.
选取了四种抗生素[阿奇霉素(AZM)、磺胺甲恶唑(SMZ)、环丙沙星(CIP)和四环素(TCY)]以及抗生素抗性基因(ARGs)[磺胺类( 和 )、四环素类( 和 )、喹诺酮类( 和 )、大环内酯类()和16S rDNA]作为目标化合物。在室内模拟河流系统中,将两种挺水植物与 ( +、藻类+、藻类+和藻类++)组合构建人工生态系统。在整个人工生态系统中,监测不同介质(水相、沉积物相和植物中)抗生素浓度及其他污染指标(即化学需氧量、氨氮、总磷和总氮)的变化,并探究ARGs在水相和沉积物相中的分布及去除情况。基于质量平衡计算目标化合物的去除率,并分析水相和沉积物相中ARGs丰度与环境因子之间的相关性。结果表明,构建的人工生态系统对化学需氧量、氨氮、总磷和总氮的去除率分别为60.2%至74.8%、63.4%至77.4%、64.0%至73.2%和46.8%至54.8%。水相中的抗生素被显著去除,人工生态系统“藻类++”对四种抗生素的去除效率最佳。沉积物相中抗生素的去除率排序为:TCY>CIP>AZM>SMZ;“藻类++”系统中TCY的去除效率高达53.5%。各生态系统获得的抗生素总去除率排序如下:藻类++ > 藻类+ > 藻类+ > +。四种ARGs的去除效率很高,且在水相中的去除率高于沉积物相。ARGs、其他污染指标和抗生素之间的相关性各不相同; 在水相中与环境因子相关,而在沉积物相中AZM与其相应的ARGs无显著相关性。结果表明,在相应抗生素压力及其他类型环境压力下,ARGs可成为目标。在研究系统中,抗生素浓度并未直接影响ARGs的传播。总体而言,本研究表明,用挺水植物和 构建的人工生态系统在净化城市河流中的水及降低抗生素环境风险方面是有效的。