Evidence map›Paper›PMID 33851335›Full record

ArticleEcotoxicology (London, England)2021

On-line monitoring of water quality with a floating microbial fuel cell biosensor: field test results.

Ademola Adekunle, Carrie Rickwood, Boris Tartakovsky

Abstract read
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In one paragraph

Article in Ecotoxicology (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
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

3 authors.

Ademola AdekunleNational Research Council of Canada, 6100 Royalmount Ave, Montreal, QC, H4P 2R2, Canada. Ademola.Adekunle@cnrc-nrc.gc.ca.ORCID http://orcid.org/0000-0001-6375-4051
Carrie RickwoodNatural Resources Canada, 555 Booth Street, Ottawa, ON, K1A 0G1, Canada.
Boris TartakovskyNational Research Council of Canada, 6100 Royalmount Ave, Montreal, QC, H4P 2R2, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Real-time biomonitoring using microbial fuel cell (MFC) based biosensors have been demonstrated in several laboratory studies, but field validation is lacking. This study describes the long-term performance of an MFC based biosensor developed for real-time monitoring of changes in the water quality of a metal-contaminated stream. After a startup in the laboratory, biosensors were deployed in a stream close to an active mining complex in Sudbury, ON, Canada. Three sites within the stream were selected for biosensors installation based on their positions relative to the mining complex discharge points - upstream (lowest heavy metals concentration), midpoint and downstream. The biosensors installed at these sites were able to detect, in real-time, temporal changes in the water quality over a 2-month period. The biosensor response was confirmed by the results of a conventional toxicity assay (48-h acute Daphnia magna) as well as analytical measurements of heavy metals concentration in the stream. We conclude that the biosensor could detect changes in the overall water quality of the stream despite the uncontrolled situations typical for field operations as compared to laboratory conditions. To further explain the results observed during the field test, the rapid Microtox bioassay and D. magna assay were used to investigate the possible contributions of the two dominant mining metals (Nickel and Copper) to water toxicity in the test area.

Indexed as

Bioelectric Energy SourcesBiosensing TechniquesMetals, HeavyWater Pollutants, ChemicalAnimalsCanadaWater QualityMetals, HeavyWater Pollutants, ChemicalAquatic toxicityBiomonitoringBiosensorMicrobial fuel cellOn-lineToxicity

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Registered trials

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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.