Evidence map›Paper›PMID 22737014›Full record

ArticleSensors (Basel, Switzerland)2012

Cell-based sensor system using L6 cells for broad band continuous pollutant monitoring in aquatic environments.

Rebekka Kubisch, Ulrich Bohrn, Maximilian Fleischer, Evamaria Stütz

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 30 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Rebekka KubischPharmaceutical Biology-Biotechnology, Department of Pharmacy, Center for Drug Research, Ludwig-Maximilian-University Munich, Munich, Germany. rebekka.kubisch@cup.uni-muenchen.de
Ulrich Bohrn
Maximilian Fleischer
Evamaria Stütz
Siemens (Germany) · DELudwig-Maximilians-Universität München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pollution of drinking water sources represents a continuously emerging problem in global environmental protection. Novel techniques for real-time monitoring of water quality, capable of the detection of unanticipated toxic and bioactive substances, are urgently needed. In this study, the applicability of a cell-based sensor system using selected eukaryotic cell lines for the detection of aquatic pollutants is shown. Readout parameters of the cells were the acidification (metabolism), oxygen consumption (respiration) and impedance (morphology) of the cells. A variety of potential cytotoxic classes of substances (heavy metals, pharmaceuticals, neurotoxins, waste water) was tested with monolayers of L6 cells (rat myoblasts). The cytotoxicity or cellular effects induced by inorganic ions (Ni(2+) and Cu(2+)) can be detected with the metabolic parameters acidification and respiration down to 0.5 mg/L, whereas the detection limit for other substances like nicotine and acetaminophen are rather high, in the range of 0.1 mg/L and 100 mg/L. In a close to application model a real waste water sample shows detectable signals, indicating the existence of cytotoxic substances. The results support the paradigm change from single substance detection to the monitoring of overall toxicity.

Indexed as

Environmental MonitoringAcetaminophenAnimalsCell LineCopper SulfateCricetinaeDrinking WaterElectric ImpedanceHep G2 CellsHT29 CellsHumansNickelNicotineRatsWater Pollutants, ChemicalAcetaminophenCopper SulfateDrinking WaterNickelnickel chlorideNicotineWater Pollutants, Chemicalacetaminophenacidificationcell-based sensorcytotoxicity sensorheavy metalsimpedancenicotineonline water monitoringrespirationwhole-cell sensor

Identifiers

PMID22737014
PMCPMC3376625
OpenAlexW1981503520

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.