<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>411(29)</volume><submitter>Abu-Ali H</submitter><funding>Sheffield Hallam University</funding><pubmed_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 (HgCl&lt;sub>2&lt;/sub>, PbCl&lt;sub>2&lt;/sub>, CdCl&lt;sub>2&lt;/sub>), 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</pubmed_abstract><journal>Analytical and bioanalytical chemistry</journal><pagination>7659-7668</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6881469</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Electrochemical inhibition bacterial sensor array for detection of water pollutants: artificial neural network (ANN) approach.</pubmed_title><pmcid>PMC6881469</pmcid><pubmed_authors>Abu-Ali H</pubmed_authors><pubmed_authors>Nabok A</pubmed_authors><pubmed_authors>Smith TJ</pubmed_authors></additional><is_claimable>false</is_claimable><name>Electrochemical inhibition bacterial sensor array for detection of water pollutants: artificial neural network (ANN) approach.</name><description>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 (HgCl&lt;sub>2&lt;/sub>, PbCl&lt;sub>2&lt;/sub>, CdCl&lt;sub>2&lt;/sub>), 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</description><dates><release>2019-01-01T00:00:00Z</release><publication>2019 Nov</publication><modification>2025-04-04T13:36:17.142Z</modification><creation>2020-05-21T21:40:20Z</creation></dates><accession>S-EPMC6881469</accession><cross_references><pubmed>31161321</pubmed><doi>10.1007/s00216-019-01853-8</doi></cross_references></HashMap>