Evidence map›Paper›PMID 27040142›Full record

ArticleScientific reports2016

A novel, optical, on-line bacteria sensor for monitoring drinking water quality.

Bo Højris, Sarah Christine Boesgaard Christensen, Hans-Jørgen Albrechtsen, Christian Smith, Mathis Dahlqvist

Abstract 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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. 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
  7. Parameter Selection for a Microvolume ElectrochemicalSensors (Basel, Switzerland) · 2019
    Article
  8. Review
  9. Camera sensor-based contamination detection for water environment monitoring.Environmental science and pollution research international · 2019
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
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

5 authors.

Bo HøjrisGRUNDFOS Holding A/S, Poul Due Jensens Vej 7, DK-8850 Bjerringbro, Denmark.
Sarah Christine Boesgaard ChristensenHOFOR A/S, Ørestads Boulevard 35, DK-2300 København S, Denmark.
Hans-Jørgen AlbrechtsenTechnical University of Denmark, Department of Environmental Engineering, Miljøvej, Building 115, 2800 Kgs. Lyngby, Denmark.
Christian SmithGRUNDFOS Holding A/S, Poul Due Jensens Vej 7, DK-8850 Bjerringbro, Denmark.
Mathis DahlqvistGRUNDFOS Holding A/S, Poul Due Jensens Vej 7, DK-8850 Bjerringbro, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Today, microbial drinking water quality is monitored through either time-consuming laboratory methods or indirect on-line measurements. Results are thus either delayed or insufficient to support proactive action. A novel, optical, on-line bacteria sensor with a 10-minute time resolution has been developed. The sensor is based on 3D image recognition, and the obtained pictures are analyzed with algorithms considering 59 quantified image parameters. The sensor counts individual suspended particles and classifies them as either bacteria or abiotic particles. The technology is capable of distinguishing and quantifying bacteria and particles in pure and mixed suspensions, and the quantification correlates with total bacterial counts. Several field applications have demonstrated that the technology can monitor changes in the concentration of bacteria, and is thus well suited for rapid detection of critical conditions such as pollution events in drinking water.

Indexed as

AlgorithmsBacteriaDrinking WaterEnvironmental MonitoringPattern Recognition, AutomatedWater MicrobiologyWater PurificationWater QualityDrinking Water

Identifiers

PMID27040142
PMCPMC4819223

What OpenQuestion holds

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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.