ArticleFrontiers in microbiology2014
The feasibility of automated online flow cytometry for in-situ monitoring of microbial dynamics in aquatic ecosystems.
Article in Frontiers in microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed.
- A double-staining automated flow cytometry method for real-time monitoring of bacteria in continuous bioreactors.NPJ systems biology and applications · 2026Article
- Insights into pig resilience: the Microbiome-genetic connection.Porcine health management · 2026Review
- Monitoring of the Single-Cell Behavior of anBiotech (Basel (Switzerland)) · 2025Article
- Article
- Application of Online Flow Cytometry for Early Biofouling Detection in Reverse Osmosis Membrane Systems.Membranes · 2024Article
- Predicting Anaerobic Membrane Bioreactor Performance Using Flow-Cytometry-Derived High and Low Nucleic Acid Content Cells.Environmental science & technology · 2024Article
- Automated yeast cultivation control using a biosensor and flow cytometry.Journal of industrial microbiology & biotechnology · 2024Article
- Article
- Assessment of the TRX2p-yEGFP Biosensor to Monitor the Redox Response of an Industrial Xylose-FermentingJournal of fungi (Basel, Switzerland) · 2023Article
- Non-inhibitory levels of oxygen during cultivation increase freeze-drying stress tolerance inFrontiers in microbiology · 2023Article
- Flow Cytometry and Fecal Indicator Bacteria Analyses for Fingerprinting Microbial Pollution in Karst Aquifer Systems.Water resources research · 2022Article
- Advances in automated real-time flow cytometry for monitoring of bioreactor processes.Engineering in life sciences · 2022Review
- Validating Flow Cytometry as a Method for QuantifyingMicrobiology spectrum · 2022Article
- Automated flow cytometry as a tool to obtain a fine-grain picture of marine prokaryote community structure along an entire oceanographic cruise.Frontiers in microbiology · 2022Article
- Stagnation leads to short-term fluctuations in the effluent water quality of biofilters: A problem for greywater reuse?Water research X · 2021Article
- Biotransformation of Chemicals at the Water-Sediment Interface-Toward a Robust Simulation Study Setup.ACS environmental Au · 2021Article
- Automated Online Flow Cytometry Advances Microalgal Ecosystem Management asFrontiers in bioengineering and biotechnology · 2021Article
- Monitoring stratification of anode biofilms in bioelectrochemical laminar flow reactors using flow cytometry.Environmental science and ecotechnology · 2020Article
- Bacterial mock communities as standards for reproducible cytometric microbiome analysis.Nature protocols · 2020Article
- Rapid Detection Methods for Bacterial Pathogens in Ambient Waters at the Point of Sample Collection: A Brief Review.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fluorescent staining coupled with flow cytometry (FCM) is often used for the monitoring, quantification and characterization of bacteria in engineered and environmental aquatic ecosystems including seawater, freshwater, drinking water, wastewater, and industrial bioreactors. However, infrequent grab sampling hampers accurate characterization and subsequent understanding of microbial dynamics in all of these ecosystems. A logic technological progression is high throughput and full automation of the sampling, staining, measurement, and data analysis steps. Here we assess the feasibility and applicability of automated FCM by means of actual data sets produced with prototype instrumentation. As proof-of-concept we demonstrate examples of microbial dynamics in (i) flowing tap water from a municipal drinking water supply network and (ii) river water from a small creek subject to two rainfall events. In both cases, automated measurements were done at 15-min intervals during 12-14 consecutive days, yielding more than 1000 individual data points for each ecosystem. The extensive data sets derived from the automated measurements allowed for the establishment of baseline data for each ecosystem, as well as for the recognition of daily variations and specific events that would most likely be missed (or miss-characterized) by infrequent sampling. In addition, the online FCM data from the river water was combined and correlated with online measurements of abiotic parameters, showing considerable potential for a better understanding of cause-and-effect relationships in aquatic ecosystems. Although several challenges remain, the successful operation of an automated online FCM system and the basic interpretation of the resulting data sets represent a breakthrough toward the eventual establishment of fully automated online microbiological monitoring technologies.
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