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Simultaneous Automatic Electrochemical Detection of Zinc, Cadmium, Copper and Lead Ions in Environmental Samples Using a Thin-Film Mercury Electrode and an Artificial Neural Network

In this study a device for automatic electrochemical analysis was designed. A three electrodes detection system was attached to a positioning device, which enabled us to move the electrode system from one well to another of a microtitre plate. Disposable carbon tip electrodes were used for Cd(II), C...

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Autores principales: Kudr, Jiri, Nguyen, Hoai Viet, Gumulec, Jaromir, Nejdl, Lukas, Blazkova, Iva, Ruttkay-Nedecky, Branislav, Hynek, David, Kynicky, Jindrich, Adam, Vojtech, Kizek, Rene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4327037/
https://www.ncbi.nlm.nih.gov/pubmed/25558996
http://dx.doi.org/10.3390/s150100592
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author Kudr, Jiri
Nguyen, Hoai Viet
Gumulec, Jaromir
Nejdl, Lukas
Blazkova, Iva
Ruttkay-Nedecky, Branislav
Hynek, David
Kynicky, Jindrich
Adam, Vojtech
Kizek, Rene
author_facet Kudr, Jiri
Nguyen, Hoai Viet
Gumulec, Jaromir
Nejdl, Lukas
Blazkova, Iva
Ruttkay-Nedecky, Branislav
Hynek, David
Kynicky, Jindrich
Adam, Vojtech
Kizek, Rene
author_sort Kudr, Jiri
collection PubMed
description In this study a device for automatic electrochemical analysis was designed. A three electrodes detection system was attached to a positioning device, which enabled us to move the electrode system from one well to another of a microtitre plate. Disposable carbon tip electrodes were used for Cd(II), Cu(II) and Pb(II) ion quantification, while Zn(II) did not give signal in this electrode configuration. In order to detect all mentioned heavy metals simultaneously, thin-film mercury electrodes (TFME) were fabricated by electrodeposition of mercury on the surface of carbon tips. In comparison with bare electrodes the TMFEs had lower detection limits and better sensitivity. In addition to pure aqueous heavy metal solutions, the assay was also performed on mineralized rock samples, artificial blood plasma samples and samples of chicken embryo organs treated with cadmium. An artificial neural network was created to evaluate the concentrations of the mentioned heavy metals correctly in mixture samples and an excellent fit was observed (R(2) = 0.9933).
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spelling pubmed-43270372015-02-23 Simultaneous Automatic Electrochemical Detection of Zinc, Cadmium, Copper and Lead Ions in Environmental Samples Using a Thin-Film Mercury Electrode and an Artificial Neural Network Kudr, Jiri Nguyen, Hoai Viet Gumulec, Jaromir Nejdl, Lukas Blazkova, Iva Ruttkay-Nedecky, Branislav Hynek, David Kynicky, Jindrich Adam, Vojtech Kizek, Rene Sensors (Basel) Article In this study a device for automatic electrochemical analysis was designed. A three electrodes detection system was attached to a positioning device, which enabled us to move the electrode system from one well to another of a microtitre plate. Disposable carbon tip electrodes were used for Cd(II), Cu(II) and Pb(II) ion quantification, while Zn(II) did not give signal in this electrode configuration. In order to detect all mentioned heavy metals simultaneously, thin-film mercury electrodes (TFME) were fabricated by electrodeposition of mercury on the surface of carbon tips. In comparison with bare electrodes the TMFEs had lower detection limits and better sensitivity. In addition to pure aqueous heavy metal solutions, the assay was also performed on mineralized rock samples, artificial blood plasma samples and samples of chicken embryo organs treated with cadmium. An artificial neural network was created to evaluate the concentrations of the mentioned heavy metals correctly in mixture samples and an excellent fit was observed (R(2) = 0.9933). MDPI 2014-12-30 /pmc/articles/PMC4327037/ /pubmed/25558996 http://dx.doi.org/10.3390/s150100592 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kudr, Jiri
Nguyen, Hoai Viet
Gumulec, Jaromir
Nejdl, Lukas
Blazkova, Iva
Ruttkay-Nedecky, Branislav
Hynek, David
Kynicky, Jindrich
Adam, Vojtech
Kizek, Rene
Simultaneous Automatic Electrochemical Detection of Zinc, Cadmium, Copper and Lead Ions in Environmental Samples Using a Thin-Film Mercury Electrode and an Artificial Neural Network
title Simultaneous Automatic Electrochemical Detection of Zinc, Cadmium, Copper and Lead Ions in Environmental Samples Using a Thin-Film Mercury Electrode and an Artificial Neural Network
title_full Simultaneous Automatic Electrochemical Detection of Zinc, Cadmium, Copper and Lead Ions in Environmental Samples Using a Thin-Film Mercury Electrode and an Artificial Neural Network
title_fullStr Simultaneous Automatic Electrochemical Detection of Zinc, Cadmium, Copper and Lead Ions in Environmental Samples Using a Thin-Film Mercury Electrode and an Artificial Neural Network
title_full_unstemmed Simultaneous Automatic Electrochemical Detection of Zinc, Cadmium, Copper and Lead Ions in Environmental Samples Using a Thin-Film Mercury Electrode and an Artificial Neural Network
title_short Simultaneous Automatic Electrochemical Detection of Zinc, Cadmium, Copper and Lead Ions in Environmental Samples Using a Thin-Film Mercury Electrode and an Artificial Neural Network
title_sort simultaneous automatic electrochemical detection of zinc, cadmium, copper and lead ions in environmental samples using a thin-film mercury electrode and an artificial neural network
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4327037/
https://www.ncbi.nlm.nih.gov/pubmed/25558996
http://dx.doi.org/10.3390/s150100592
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