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Current Opinion in Biotechnology
Article . 2017 . Peer-reviewed
License: CC BY
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Current Opinion in Biotechnology
Article
License: CC BY
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Article . 2017
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ETH Zürich Research Collection
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Cell culture-based biosensing techniques for detecting toxicity in water

Authors: Lu Tan; Kristin Schirmer; Kristin Schirmer; Kristin Schirmer;

Cell culture-based biosensing techniques for detecting toxicity in water

Abstract

The significant increase of contaminants entering fresh water bodies calls for the development of rapid and reliable methods to monitor the aquatic environment and to detect water toxicity. Cell culture-based biosensing techniques utilise the overall cytotoxic response to external stimuli, mediated by a transduced signal, to specify the toxicity of aqueous samples. These biosensing techniques can effectively indicate water toxicity for human safety and aquatic organism health. In this review we account for the recent developments of the mainstream cell culture-based biosensing techniques for water quality evaluation, discuss their key features, potentials and limitations, and outline the future prospects of their development.

Current Opinion in Biotechnology, 45

ISSN:0958-1669

ISSN:1879-0429

Keywords

Biomedical Engineering, Cell Culture Techniques, Fishes, Water, Bioengineering, Fresh Water, Biosensing Techniques, Water Quality, Toxicity Tests, Animals, Humans, Water Pollutants, Chemical, Biotechnology

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    40
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
40
Top 10%
Top 10%
Top 10%
Green
hybrid