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Article . 2016
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Article . 2016 . Peer-reviewed
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Electronic tongue for microcystin screening in waters

Authors: Lvova L; Guanais Gonçalves C; Petropoulos K; Micheli L; Volpe G; Kirsanov D; Kirsanov D; +11 Authors

Electronic tongue for microcystin screening in waters

Abstract

The potentiometric E-tongue system was employed for water toxicity estimation in terms of cyanobacterial microcystin toxins (MCs) detection. The data obtained from E-tongue were correlated to the MCs content detected by the standard chromatographic technique UHPLC-DAD (Ultra High Performance Liquid Chromatography with Diode Array Detector), as far as by the colorimetric enzymatic approach. The prediction of MCs released by toxic Microcystis aeruginosa strains was possible with Root Mean Squared Error of Validation (RMSEV) lower or very close to 1µg/L, the provisional guideline value of WHO for MCs content in potable waters. The application of E-tongue system opens up a new perspective offset for fast and inexpensive analysis in the field of environmental monitoring, offering also the possibility to distinguish toxin producing and non-toxic M. aeruginosa strains present in potable water.

Country
Italy
Keywords

Settore BIO/01 - BOTANICA GENERALE, Settore CHIM/01 - CHIMICA ANALITICA, Microcystis, Cyanobacteria Toxins, Microcystins, Bacterial Toxins, 500, Biosensing Techniques, Water toxicity assessment, Potentiometric sensors, Multisensory analysis, Settore ING-INF/01 - ELETTRONICA, Marine Toxins, Cyanobacterial toxins detection, Settore CHIM/07 - FONDAMENTI CHIMICI DELLE TECNOLOGIE, Electronics, Water Microbiology, Cyanobacterial toxins detection Potentiometric sensors Multisensory analysis Water toxicity assessment, Environmental Monitoring

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    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).
    46
    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 1%
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selected citations
These citations are derived from selected sources.
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!
46
Top 10%
Top 10%
Top 1%
Green
bronze
Related to Research communities
CNR