Computational Surveillance of Microbial Water Quality With Online Flow Cytometry

Sadler, Marie C; Senouillet, Jérémy; Kuenzi, Simon; Grasso, Luigino; Watson, Douglas C.

doi:10.3389/frwa.2020.586969

Cited by 9 publications

(8 citation statements)

References 38 publications

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“…However, as NRT-FCM technologies are refined and implemented in more full-scale studies, maintenance requirements will likely be reduced. Certain flow cytometer models currently available offer decreased flexibility in terms of sample analysis but lower maintenance compared to the instrumentation used in this study, which may be preferred for utilities with staffing limitations (Sadler et al, 2020; Gabrielli et al, 2022). Additionally, machine learning technologies may facilitate the automation of data processing and outlier and event detection (Sadler et al, 2020; Kyritsakas et al, 2023).…”

Section: Resultsmentioning

confidence: 99%

“…Certain flow cytometer models currently available offer decreased flexibility in terms of sample analysis but lower maintenance compared to the instrumentation used in this study, which may be preferred for utilities with staffing limitations (Sadler et al, 2020; Gabrielli et al, 2022). Additionally, machine learning technologies may facilitate the automation of data processing and outlier and event detection (Sadler et al, 2020; Kyritsakas et al, 2023). Other factors that may limit the growth of this technology include the high capital cost relative to other microbial monitoring methods and the lack of broad acceptance of FCM, though some utilities and regulators are exploring the use of FCM for monitoring (Safford and Bischel, 2019).…”

Section: Resultsmentioning

confidence: 99%

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Assessing the effectiveness of near real-time flow cytometry in monitoring ozone disinfection in a full-scale drinking water treatment plant

Dowdell,

Olsen,

Martinez Paz

et al. 2023

Preprint

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While real-time monitoring of physicochemical parameters has widely been incorporated into drinking water treatment systems, real-time microbial monitoring has lagged behind, resulting in the use of surrogate parameters (disinfectant residual, applied dose, concentration x time [CT]) to assess disinfection system performance. Near real-time flow cytometry (NRT-FCM) allows for automated quantification of total and intact microbial cells but has not been widely implemented in full-scale systems. This study sought to investigate the feasibility of NRT-FCM for full-scale drinking water ozone disinfection system performance monitoring. A water treatment plant with high lime solids turbidity in the ozone contactor influent was selected to evaluate the NRT-FCM in challenging conditions. Total and intact cell counts were monitored for 40 days and compared to surrogate parameters (ozone residual, ozone dose, and CT) and grab sample assay results for cellular adenosine triphosphate (cATP), heterotrophic plate counts (HPC), impedance flow cytometry, and 16S rRNA gene sequencing. NRT-FCM provided insight into the dynamics of the full-scale ozone system, including offering early warning of increased contactor effluent cell concentrations, which was not observed using surrogate measures. A strong correlation between log intact cell removal and CT was also not observed (Kendall's tau= -0.09, p=0.04). Positive correlations were observed between intact cell counts and cATP levels (Kendall's tau=0.40, p<0.01), HPC (Kendall's tau=0.20, p<0.01), and impedance flow cytometry results (Kendall's tau=0.30, p<0.01). However, 16S rRNA gene sequencing results showed that passage through the ozone contactor significantly changed the microbial community (p<0.05), supporting the hypothesis that regrowth was occurring in the later chambers of the contactor. This study demonstrates the utility of direct, near real-time microbial analysis for monitoring full-scale disinfection systems.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Assessing the effectiveness of near real-time flow cytometry in monitoring ozone disinfection in a full-scale drinking water treatment plant

Dowdell,

Olsen,

Martinez Paz

et al. 2023

Preprint

View full text Add to dashboard Cite

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“…Le Meur et al (2007) work demonstrated that ungated FCM data can be used to create a systematic and efficient method of data quality assessment. It also raises the prospect of using dynamic models e.g., Sadler et al (2020) and AI augmented approaches as outlined within on both bacteria and the background populations. In the literature, HNA and LNA are seen as sensitive to chlorination (Ramseier et al, 2011); therefore, we verified their correlation with chlorine residual and chlorine contact time.…”

Section: Assessing the Icc Value Using Cell Count And Fluorescence Fi...mentioning

confidence: 99%

“…The Microbial Community Change Detection (MCCD) model offers an advance by monitoring microbial community stability semi-autonomously using an outlier score based on fingerprints and distance-based outlier calculations. This approach could enable early anomaly detection, underpinning proactive responses based on elements of the fingerprint (Sadler et al, 2020). However, most of the water sector is still using offline approaches without fingerprinting and thus new insights into gating effects in drinking water are required.…”

Section: Introductionmentioning

confidence: 99%

To Gate or Not to Gate: Revisiting Drinking Water Microbial Assessment Through Flow Cytometry Fingerprinting

Claveau,

Hudson,

Jeffrey

et al. 2023

Preprint

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“…Various studies demonstrate the application of online flow cytometry for drinking water supply. Microbiological online monitoring can be used to detect changes in raw water at an early stage (Besmer et al 2014;Sadler et al 2020) or to track the kinetics of cell damage While the combination of grab samples and FC is especially interesting to get a spatial distributed picture of microbial state with drinking water distribution networks, online flow cytometry clearly improves our understanding of the microbial dynamics through high-frequent measurements at certain locations. For the application at hand online flow cytometry (Online Bacteria Analyzer, Metanor) was employed for the study of the temporal variations of a karst spring used for drinking water purposes.…”

Section: Case Study 4: Online Flow Cytometry For High-frequency Tcc Monitoringmentioning

confidence: 99%

“Every cell counts”—experiences with flow cytometry for Austrian drinking water supply

Schönher

Proksch

Kerschbaumer

et al. 2021

Österr Wasser- und Abfallw

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The last decades have seen extensive scientific and technological improvements in many fields of microbiology and molecular biology. Correspondingly, flow cytometry—a rapid, precise and straightforward method for cultivation-independent detection of cells in liquids—has been a major topic in aquatic microbiology and drinking water analysis. Flow cytometry provides information at the single-cell level, including total cell counts, size measurements, nucleic acid content and bacterial viability and activity. While regulatory requirements for water testing rely on cultivation-based methods, flow cytometry can be considered a powerful tool to complement standard procedures.This article provides insights into the methodology and applicability of flow cytometry in the field of microbiological drinking water analysis and presents an overview on several case studies that cover a broad range of different objectives. The later are comprised of a study on flow cytometric characterization of Austrian drinking water resources, of an example for advanced data analysis methods of flow cytometric data, of a study on monitoring microbial regrowth within the distribution network, of an exemplary case of the application of online flow cytometry for high-frequency monitoring and of an introduction to the combination of flow cytometry and sequencing information.Finally, it is argued that due to the high microbiological variability of different water resources, unusual changes of flow cytometric parameters, rather than specific limits, could act as an indicator for further investigation. In this way flow cytometry can provide a good basis for risk assessments in water safety plans. The application of flow cytometry still remains utility-specific and a huge need for standardization of data analysis and interpretation exists in order to achieve a better cooperation of water utilities.

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Computational Surveillance of Microbial Water Quality With Online Flow Cytometry

Cited by 9 publications

References 38 publications

Assessing the effectiveness of near real-time flow cytometry in monitoring ozone disinfection in a full-scale drinking water treatment plant

Assessing the effectiveness of near real-time flow cytometry in monitoring ozone disinfection in a full-scale drinking water treatment plant

To Gate or Not to Gate: Revisiting Drinking Water Microbial Assessment Through Flow Cytometry Fingerprinting

“Every cell counts”—experiences with flow cytometry for Austrian drinking water supply

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