Anna Andersson, Leanne Powers, Mourad Harir, Michael Gonsior, Norbert Hertkorn, Philippe Schmitt-Kopplin, Henrik Kylin, Daniel Hellström, Ämma Pettersson and David Bastviken
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In addition to bulk DOM analysis, this work focused on excitation–emission matrix (EEM) fluorescence including parallel factor (PARAFAC) analysis, and molecular level non-target analysis by Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS). Overall, seasonal variability of raw water DOM composition was small and explained primarily by changes in the contributions of DOM with aromatic and phenolic moieties, which were more prevalent during spring in two surface water sources as indicated by absorbance measurements at 254 nm, computed specific ultraviolet absorbance (SUVA) and phenol concentrations. These changes could be balanced by coagulation, resulting in seasonally stable DOM characteristics of treated water. While EEM fluorescence and PARAFAC modelling effectively revealed DOM fingerprints of the different water sources, FT-ICR MS provided new insights into treatment selectivity on DOM composition at the molecular level. 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引用次数: 0
摘要
要优化处理工艺并获得高质量的饮用水,就必须改进用于饮用水处理的原水中溶解有机物 (DOM) 的特征。本研究调查了瑞典四家饮用水处理厂(DWTPs)一年四季淡水 DOM 组成的季节性差异以及相关处理引起的变化。目的是了解 DWTP 如何有效地适应季节变化,并比较光学和质谱方法如何检测这些变化。除了大量 DOM 分析外,这项工作还侧重于激发-发射矩阵 (EEM) 荧光,包括平行因子 (PARAFAC) 分析,以及傅立叶变换离子回旋共振质谱法 (FT-ICR MS) 的分子级非目标分析。总体而言,原水 DOM 成分的季节变化较小,主要原因是含有芳香族和酚类分子的 DOM 的贡献率发生了变化,根据 254 纳米波长的吸光度测量值、计算的特定紫外线吸光度 (SUVA) 和苯酚浓度,这两种成分在两个地表水源的春季更为普遍。这些变化可以通过混凝作用得到平衡,从而使处理过的水具有季节性稳定的 DOM 特性。EEM 荧光和 PARAFAC 建模有效地揭示了不同水源的 DOM 指纹,而 FT-ICR MS 则为分子水平上 DOM 成分的处理选择性提供了新的见解。未来的地表水 DOM 监测应针对更具体的季节性 DOM 变化,如已知对某些处理过程有影响的特征,或针对某些事件,如藻类或蓝藻大量繁殖。
Molecular level seasonality of dissolved organic matter in freshwater and its impact on drinking water treatment†
Improved characterization of dissolved organic matter (DOM) in source waters used for drinking water treatment is necessary to optimize treatment processes and obtain high drinking water quality. In this study, seasonal differences in freshwater DOM composition and associated treatment-induced changes, were investigated at four drinking water treatment plants (DWTPs) in Sweden, during all seasons and a full-year. The objective was to understand how effectively DWTPs can adapt to seasonal changes and compare how optical and mass spectrometry methods detected these changes. In addition to bulk DOM analysis, this work focused on excitation–emission matrix (EEM) fluorescence including parallel factor (PARAFAC) analysis, and molecular level non-target analysis by Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS). Overall, seasonal variability of raw water DOM composition was small and explained primarily by changes in the contributions of DOM with aromatic and phenolic moieties, which were more prevalent during spring in two surface water sources as indicated by absorbance measurements at 254 nm, computed specific ultraviolet absorbance (SUVA) and phenol concentrations. These changes could be balanced by coagulation, resulting in seasonally stable DOM characteristics of treated water. While EEM fluorescence and PARAFAC modelling effectively revealed DOM fingerprints of the different water sources, FT-ICR MS provided new insights into treatment selectivity on DOM composition at the molecular level. Future DOM monitoring of surface waters should target more specific seasonal DOM changes, such as features with a known impact on certain treatment processes or target certain events, like algal or cyanobacterial blooms.