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Electrochemical Fingerprint of Arsenic (III) by Using Hybrid Nanocomposite-Based Platforms
Arsenic, one of the most abundant mineral and also one to the most toxic compounds. Due to its high toxicity sensitive analytical methods are highly important, taking into account that the admitted level is in the range of µg L(−1). A novel and easy to use platform for As(III) detection from water s...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567353/ https://www.ncbi.nlm.nih.gov/pubmed/31108857 http://dx.doi.org/10.3390/s19102279 |
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author | Melinte, Gheorghe Hosu, Oana Lettieri, Mariagrazia Cristea, Cecilia Marrazza, Giovanna |
author_facet | Melinte, Gheorghe Hosu, Oana Lettieri, Mariagrazia Cristea, Cecilia Marrazza, Giovanna |
author_sort | Melinte, Gheorghe |
collection | PubMed |
description | Arsenic, one of the most abundant mineral and also one to the most toxic compounds. Due to its high toxicity sensitive analytical methods are highly important, taking into account that the admitted level is in the range of µg L(−1). A novel and easy to use platform for As(III) detection from water samples is proposed, based on gold and platinum bi metallic nanoparticles and a conductive polymer (polyaniline). The electrochemical detection was achieved after optimization of cathodic pre-concentration and stripping parameters by square wave anodic stripping voltammetry at modified screen-printed carbon-based electrochemical cells, proving its applicability for disposable and cost-effective in situ analysis of arsenic. |
format | Online Article Text |
id | pubmed-6567353 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-65673532019-06-17 Electrochemical Fingerprint of Arsenic (III) by Using Hybrid Nanocomposite-Based Platforms Melinte, Gheorghe Hosu, Oana Lettieri, Mariagrazia Cristea, Cecilia Marrazza, Giovanna Sensors (Basel) Article Arsenic, one of the most abundant mineral and also one to the most toxic compounds. Due to its high toxicity sensitive analytical methods are highly important, taking into account that the admitted level is in the range of µg L(−1). A novel and easy to use platform for As(III) detection from water samples is proposed, based on gold and platinum bi metallic nanoparticles and a conductive polymer (polyaniline). The electrochemical detection was achieved after optimization of cathodic pre-concentration and stripping parameters by square wave anodic stripping voltammetry at modified screen-printed carbon-based electrochemical cells, proving its applicability for disposable and cost-effective in situ analysis of arsenic. MDPI 2019-05-17 /pmc/articles/PMC6567353/ /pubmed/31108857 http://dx.doi.org/10.3390/s19102279 Text en © 2019 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 (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Melinte, Gheorghe Hosu, Oana Lettieri, Mariagrazia Cristea, Cecilia Marrazza, Giovanna Electrochemical Fingerprint of Arsenic (III) by Using Hybrid Nanocomposite-Based Platforms |
title | Electrochemical Fingerprint of Arsenic (III) by Using Hybrid Nanocomposite-Based Platforms |
title_full | Electrochemical Fingerprint of Arsenic (III) by Using Hybrid Nanocomposite-Based Platforms |
title_fullStr | Electrochemical Fingerprint of Arsenic (III) by Using Hybrid Nanocomposite-Based Platforms |
title_full_unstemmed | Electrochemical Fingerprint of Arsenic (III) by Using Hybrid Nanocomposite-Based Platforms |
title_short | Electrochemical Fingerprint of Arsenic (III) by Using Hybrid Nanocomposite-Based Platforms |
title_sort | electrochemical fingerprint of arsenic (iii) by using hybrid nanocomposite-based platforms |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567353/ https://www.ncbi.nlm.nih.gov/pubmed/31108857 http://dx.doi.org/10.3390/s19102279 |
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