Transport of bacterial cell (E. coli) from different recharge water resources in porous media during simulated artificial groundwater recharge

被引:7
作者
Fan, Wei [1 ]
Li, Qi [1 ]
Huo, Mingxin [1 ]
Wang, Xiaoyu [1 ]
Lin, Shanshan [1 ]
机构
[1] Northeast Normal Univ, Sch Environm, Changchun 130117, Peoples R China
基金
中国国家自然科学基金;
关键词
Artificial groundwater recharge; E; coli; Transport; Simulated column experiments; Modeling; EXTRACELLULAR POLYMERIC SUBSTANCES; ESCHERICHIA-COLI; WASTE-WATER; SURFACE; NANOPARTICLES; STARVATION; DEPOSITION; COLIFORMS; PARTICLES; CHEMISTRY;
D O I
10.1007/s11783-020-1242-0
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Commonly used recharge water resources for artificial groundwater recharge (AGR) such as secondary effluent (SE), river water and rainfall, are all oligotrophic, with low ionic strengths and different cationic compositions. The dwelling process in recharge pond imposed physiologic stress on Escherichia coli (E. coli) cells, in all three types of investigated recharge water resources and the cultivation of E. coli under varying recharge water conditions, induced changes in cell properties. During adaptation to the recharge water environment, the zeta potential of cells became more negative, the hydrodynamic diameters, extracellular polymeric substances content and surface hydrophobicity decreased, while the cellular outer membrane protein profiles became more diverse. The mobility of cells altered in accordance with changes in these cell properties. The E. coli cells in rainfall recharge water displayed the highest mobility (least retention), followed by cells in river water and finally SE cells, which had the lowest mobility. Simulated column experiments and quantitative modeling confirmed that the cellular properties, driven by the physiologic state of cells in different recharge water matrices and the solution chemistry, exerted synergistic effects on cell transport behavior. The findings of this study contribute to an improved understanding of E. coli transport in actual AGR scenarios and prediction of spreading risk in different recharge water sources.
引用
收藏
页数:13
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