Evidence map›Paper›PMID 24196435›Full record

ReviewSensors (Basel, Switzerland)2013

Immunoassays and biosensors for the detection of cyanobacterial toxins in water.

Michael G Weller

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2013. 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. Early Detection Methods for Toxic Cyanobacteria Blooms.Pathogens (Basel, Switzerland) · 2024
    Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Quantum Dots as Biosensors in the Determination of Biochemical Parameters in Xenobiotic Exposure and Toxins.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2021
    Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Quality Issues of Research Antibodies.Analytical chemistry insights · 2016
    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

1 author.

Michael G WellerDivision 1.5 Protein Analysis, BAM Federal Institute for Materials Research and Testing, Richard-Willstätter-Strasse 11, 12489 Berlin, Germany. michael.weller@bam.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Algal blooms are a frequent phenomenon in nearly all kinds of fresh water. Global warming and eutrophication by waste water, air pollution and fertilizers seem to lead to an increased frequency of occurrence. Many cyanobacteria produce hazardous and quite persistent toxins, which can contaminate the respective water bodies. This may limit the use of the raw water for many purposes. The purification of the contaminated water might be quite costly, which makes a continuous and large scale treatment economically unfeasible in many cases. Due to the obvious risks of algal toxins, an online or mobile detection method would be highly desirable. Several biosensor systems have been presented in the literature for this purpose. In this review, their mode of operation, performance and general suitability for the intended purpose will be described and critically discussed. Finally, an outlook on current developments and future prospects will be given.

Indexed as

Bacterial ToxinsBiosensing TechniquesImmunoassayMarine ToxinsMicrocystinsWater PollutantsCyanobacteriaCyanobacteria ToxinsBacterial ToxinsCyanobacteria ToxinsMarine ToxinsMicrocystinsWater Pollutants

Identifiers

PMID24196435
PMCPMC3871135

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.