Combining real-time fluorescence spectroscopy and flow cytometry to reveal new insights in DOC and cell characterization of drinking water

Jonas Schuster, Johanna E. Huber, Jakob Stumme, Anissa Grieb, Mathias Ernst
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引用次数: 2

Abstract

Sudden changes in drinking water quality can cause harmful consequences for end users. Thus, real-time monitoring of drinking water quality can allow early warning and provide crucial gains for securing safe water distribution. This study investigated the advantages of simultaneous real-time measuring of flow cytometry and fluorescence spectroscopy. A contamination event was investigated in a laboratory-scale analysis by spiking drinking water samples with organic nutrients. Flow cytometric data were analyzed by creating fingerprints based on differentiation into high and low nucleic acid cells (HNA/LNA). The detailed characterization of these data showed that an increase in HNA cells indicated an increase in the bacterial growth potential even before actual TCC increases. The fluorescence data was decomposed via the PARAFAC method to reveal seven fluorescent components. Three aromatic protein-like components were associated with the microbiological condition of the drinking water cells; namely, Components 4 (λ Ex = 279 nm, λ Em = 351 nm), 6 (λ Ex = 279 nm, λ Em = 332 nm), and 7 (λ Ex = 276 nm, λ Em = 302 nm). Component 6 was identified as a possible organic variable for appropriate monitoring of TCC, whereas Components 4 and 7 were identified as organic compounds representing nutrients for organisms present in drinking water. Overall, combining both methods for real-time monitoring can be a powerful tool to guarantee drinking water quality. Graphical Abstract
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结合实时荧光光谱和流式细胞术,揭示饮用水DOC和细胞表征的新见解
饮用水水质的突然变化可能对最终用户造成有害后果。因此,实时监测饮用水质量可以进行早期预警,并为确保安全配水提供关键收益。本研究探讨了流式细胞术和荧光光谱同时实时测量的优点。在实验室规模的分析中,通过在饮用水样本中添加有机营养素来调查污染事件。流式细胞仪数据通过基于分化为高核酸细胞和低核酸细胞(HNA/LNA)创建指纹来分析。这些数据的详细表征表明,HNA细胞的增加甚至在实际TCC增加之前就表明细菌生长潜力的增加。通过PARAFAC方法对荧光数据进行分解,以揭示七种荧光成分。三种芳香蛋白样成分与饮用水细胞的微生物条件有关;即组分4(λEx=279 nm,λEm=351 nm)、6(λEx=279 nm,λEma=332 nm)和7(λEx=776 nm,λEm=302 nm)。组分6被确定为适当监测TCC的可能有机变量,而组分4和7被确定为代表饮用水中存在的生物体营养物质的有机化合物。总的来说,将这两种方法结合起来进行实时监测可以成为保证饮用水质量的有力工具。图形摘要
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