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首页> 外文期刊>Scientific reports. >Online flow cytometry reveals microbial dynamics influenced by concurrent natural and operational events in groundwater used for drinking water treatment
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Online flow cytometry reveals microbial dynamics influenced by concurrent natural and operational events in groundwater used for drinking water treatment

机译:在线流式细胞仪揭示了用于饮用水处理的地下水中同时发生的自然事件和操作事件对微生物动力学的影响

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Detailed measurements of physical, chemical and biological dynamics in groundwater are key to understanding the important processes in place and their influence on water quality - particularly when used for drinking water. Measuring temporal bacterial dynamics at high frequency is challenging due to the limitations in automation of sampling and detection of the conventional, cultivation-based microbial methods. In this study, fully automated online flow cytometry was applied in a groundwater system for the first time in order to monitor microbial dynamics in a groundwater extraction well. Measurements of bacterial concentrations every 15?minutes during 14 days revealed both aperiodic and periodic dynamics that could not be detected previously, resulting in total cell concentration (TCC) fluctuations between 120 and 280 cells μL(-1). The aperiodic dynamic was linked to river water contamination following precipitation events, while the (diurnal) periodic dynamic was attributed to changes in hydrological conditions as a consequence of intermittent groundwater extraction. Based on the high number of measurements, the two patterns could be disentangled and quantified separately. This study i) increases the understanding of system performance, ii) helps to optimize monitoring strategies, and iii) opens the possibility for more sophisticated (quantitative) microbial risk assessment of drinking water treatment systems.
机译:详细了解地下水中的物理,化学和生物动力学是了解适当的重要过程及其对水质的影响(尤其是用于饮用水时)的关键。由于传统的基于培养的微生物方法在采样和检测自动化方面的局限性,因此在高频下测量时间细菌动力学具有挑战性。在这项研究中,全自动在线流式细胞仪首次应用于地下水系统,以监测地下水提取井中的微生物动态。在14天中每15分钟测量一次细菌浓度,发现之前无法检测到周期性和周期性动态变化,导致总细胞浓度(TCC)在120至280个细胞μL(-1)之间波动。非周期性动力与降水事件后的河水污染有关,而(昼夜)周期性动力归因于间歇性地下水抽取造成的水文条件变化。基于大量的测量,这两种模式可以分开进行纠缠和量化。这项研究i)增进了对系统性能的了解,ii)有助于优化监测策略,iii)为饮用水处理系统的微生物风险评估提供了更为复杂(定量)的可能性。

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