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Characterizing Microbiome Dynamics – Flow Cytometry Based Workflows from Pure Cultures to Natural Communities
Published on: July 12, 2018
Microbial water quality investigation through flow cytometry fingerprinting: from source to tap
Leila Claveau1, Neil Hudson2, Peter Jarvis1
1Cranfield Water Science Institute, Cranfield University, College Road, Cranfield, Bedfordshire MK43 0AL, United Kingdom.
Summary
Flow cytometry (FCM) fingerprints can detect microbial events in drinking water treatment, offering a faster alternative to traditional methods. Analyzing bacterial diversity via FCM helps identify water quality issues, improving public health protection.
Area of Science:
- Environmental microbiology
- Water quality analysis
- Analytical chemistry
Background:
- Traditional microbiological methods struggle with the complexity of drinking water bacterial communities.
- Ensuring drinking water quality is vital for public health and regulatory compliance.
- Microbial event detection is critical for maintaining safe water supplies.
Purpose of the Study:
- To evaluate the effectiveness of flow cytometry (FCM) fingerprints for microbial event detection in drinking water.
- To investigate the dynamics of bacterial communities during water treatment and in service reservoirs over one year.
- To assess the utility of FCM data for identifying operational issues and water quality deviations.
Main Methods:
- Daily interstage monitoring and flow cytometry (FCM) analysis were conducted over a 12-month period.
- Chlorine concentration contact time was analyzed for its impact on microbial reduction.
- Bray-Curtis dissimilarity index was used to quantify bacterial fingerprint diversity.
Main Results:
- FCM fingerprints showed significant deviations during operational disruptions but did not directly correlate with indicator organisms in tap water.
- Bacterial fingerprint diversity, measured by Bray-Curtis dissimilarity, indicated potentially poor microbial water quality.
- Chlorinated water background signals differentiated water sources and could characterize breakthrough events.
- Groundwater sources with simpler treatment showed higher indicator organism occurrence than surface water sources.
Conclusions:
- Flow cytometry (FCM) offers a valuable tool for real-time microbial event detection in drinking water treatment.
- Bacterial community diversity analysis using FCM can serve as an early warning for water quality degradation.
- Effective disinfection is crucial even for low-risk water sources, and statistical interpretation of FCM data aids decision-making.
Keywords:
E. colidisinfectiondrinking waterfaecal indicator organisms (FIO)flow cytometryfluorescent fingerprint analysiswater qualityMore Related Videos
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