Evidence map›Paper›PMID 27924920›Full record

ArticleScientific reports2016

Online flow cytometry reveals microbial dynamics influenced by concurrent natural and operational events in groundwater used for drinking water treatment.

Michael D Besmer, Jannis Epting, Rebecca M Page, Jürg A Sigrist, Peter Huggenberger, Frederik Hammes

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
6.8field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 72 citations in OpenAlex.

  1. Detection and quantification of rumen methanogens using FApplied and environmental microbiology · 2026
    Article
  2. Monitoring of the Single-Cell Behavior of anBiotech (Basel (Switzerland)) · 2025
    Article
  3. It's a Long Way to the Tap: Microbiome and DNA-Based Omics at the Core of Drinking Water Quality.International journal of environmental research and public health · 2022
    Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Automated Online Flow Cytometry Advances Microalgal Ecosystem Management asFrontiers in bioengineering and biotechnology · 2021
    Article
  10. 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 · 2020
    Review
  11. Article
  12. Article
  13. Predominance ofFrontiers in microbiology · 2019
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Michael D BesmerDepartment of Environmental Microbiology, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.
Jannis EptingApplied and Environmental Geology, Department of Environmental Sciences, University of Basel, Basel, Switzerland.
Rebecca M PageApplied and Environmental Geology, Department of Environmental Sciences, University of Basel, Basel, Switzerland.
Jürg A SigristDepartment of Environmental Microbiology, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.
Peter HuggenbergerApplied and Environmental Geology, Department of Environmental Sciences, University of Basel, Basel, Switzerland.
Frederik HammesDepartment of Environmental Microbiology, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.
University of Basel · CHSwiss Federal Institute of Aquatic Science and Technology · CHETH Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detailed measurements of physical, chemical and biological dynamics in groundwater are key to understanding the important processes in place and their influence on water quality - particularly when used for drinking water. Measuring temporal bacterial dynamics at high frequency is challenging due to the limitations in automation of sampling and detection of the conventional, cultivation-based microbial methods. In this study, fully automated online flow cytometry was applied in a groundwater system for the first time in order to monitor microbial dynamics in a groundwater extraction well. Measurements of bacterial concentrations every 15 minutes during 14 days revealed both aperiodic and periodic dynamics that could not be detected previously, resulting in total cell concentration (TCC) fluctuations between 120 and 280 cells μL

Indexed as

Flow CytometryBacteriaDrinking WaterEnvironmental MonitoringGroundwaterHumansWater MicrobiologyWater PollutionWater QualityDrinking Water

Identifiers

PMID27924920
PMCPMC5141442
OpenAlexW2559902792

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.