当前位置: X-MOL 学术Water Res. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Temperature, phytoplankton density and bacteria diversity drive the biotransformation of micropollutants in a lake ecosystem
Water Research ( IF 12.8 ) Pub Date : 2021-07-07 , DOI: 10.1016/j.watres.2021.117412
Annie Chalifour 1 , Jean-Claude Walser 2 , Francesco Pomati 1 , Kathrin Fenner 3
Affiliation  

For most micropollutants (MPs) present in surface waters, such as pesticides and pharmaceuticals, the contribution of biotransformation to their overall removal from lake ecosystems is largely unknown. This study aims at empirically determining the biotransformation rate constants for 35 MPs at different periods of the year and depths of a meso-eutrophic lake. We then tested statistically the association of environmental parameters and microbial community composition with the biotransformation rate constants obtained. Biotransformation was observed for 14 out of 35 studied MPs for at least one sampling time. Large variations in biotransformation rate constants were observed over the seasons and between compounds. Overall, the transformation of MPs was mostly influenced by the lake's temperature, phytoplankton density and bacterial diversity. However, some individual MPs were not following the general trend or association with microorganism biomass. The antidepressant mianserin, for instance, was transformed in all experiments and depths, but did not show any relationship with measured environmental parameters, suggesting the importance of specific microorganisms in its transformation. The results presented here contribute to our understanding of the fate of MPs in surface waters and thus support improved risk assessment of contaminants in the environment.



中文翻译:

温度、浮游植物密度和细菌多样性驱动湖泊生态系统中微污染物的生物转化

对于存在于地表水中的大多数微污染物 (MP),例如杀虫剂和药物,生物转化对其从湖泊生态系统中整体清除的贡献在很大程度上是未知的。本研究旨在凭经验确定一年中不同时期和中富营养化湖泊深度的 35 MP 的生物转化速率常数。然后,我们对环境参数和微生物群落组成与获得的生物转化速率常数之间的关联进行了统计学测试。在至少一个采样时间内,35 个研究 MP 中的 14 个观察到了生物转化。在不同季节和化合物之间观察到生物转化速率常数的巨大变化。总体而言,MPs的转化主要受湖泊温度、浮游植物密度和细菌多样性的影响。然而,一些个体 MP 没有遵循总体趋势或与微生物生物量的关联。例如,抗抑郁药米安色林在所有实验和深度中都发生了转化,但与测量的环境参数没有任何关系,表明特定微生物在其转化中的重要性。此处呈现的结果有助于我们了解地表水中 MP 的归宿,从而支持改进环境中污染物的风险评估。表明特定微生物在其转化中的重要性。此处呈现的结果有助于我们了解地表水中 MP 的归宿,从而支持改进环境中污染物的风险评估。表明特定微生物在其转化中的重要性。此处呈现的结果有助于我们了解地表水中 MP 的归宿,从而支持改进环境中污染物的风险评估。

更新日期:2021-07-22
down
wechat
bug