Electrochemical inhibition bacterial sensor array for detection of water pollutants: artificial neural network (ANN) approach.

ABSTRACT: This work reports on further development of an inhibition electrochemical sensor array based on immobilized bacteria for the preliminary detection of a wide range of organic and inorganic pollutants, such as heavy metal salts (HgCl₂, PbCl₂, CdCl₂), pesticides (atrazine, simazine, DDVP), and petrochemicals (hexane, octane, pentane, toluene, pyrene, and ethanol) in water. A series of DC and AC electrochemical measurements, e.g., cyclic voltammograms and impedance spectroscopy, were carried out on screen-printed gold electrodes with three types of bacteria, namely Escherichia coli, Shewanella oneidensis, and Methylococcus capsulatus, immobilized via poly L-lysine. The results obtained showed a possibility of pattern recognition of the above pollutants by their

SUBMITTER: Abu-Ali H 

PROVIDER: S-EPMC6881469 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature