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Development of a Heavy Metal Sensing Boat for Automatic Analysis in Natural Waters Utilizing Anodic Stripping Voltammetry

[Image: see text] Determination of the levels of heavy metal ions would support assessment of sources and pathways of water pollution. However, traditional spatial assessment by manual sampling and off-site detection in the laboratory is expensive and time-consuming and requires trained personnel. A...

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Autores principales: Yang, Qiuyue, Nagar, Bhawna, Alvarez-Diduk, Ruslán, Balsells, Marc, Farinelli, Alessandro, Bloisi, Domenico, Proia, Lorenzo, Espinosa, Carmen, Ordeix, Marc, Knutz, Thorsten, De Vito-Francesco, Elisabetta, Allabashi, Roza, Merkoçi, Arben
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8669633/
https://www.ncbi.nlm.nih.gov/pubmed/34918010
http://dx.doi.org/10.1021/acsestwater.1c00192
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author Yang, Qiuyue
Nagar, Bhawna
Alvarez-Diduk, Ruslán
Balsells, Marc
Farinelli, Alessandro
Bloisi, Domenico
Proia, Lorenzo
Espinosa, Carmen
Ordeix, Marc
Knutz, Thorsten
De Vito-Francesco, Elisabetta
Allabashi, Roza
Merkoçi, Arben
author_facet Yang, Qiuyue
Nagar, Bhawna
Alvarez-Diduk, Ruslán
Balsells, Marc
Farinelli, Alessandro
Bloisi, Domenico
Proia, Lorenzo
Espinosa, Carmen
Ordeix, Marc
Knutz, Thorsten
De Vito-Francesco, Elisabetta
Allabashi, Roza
Merkoçi, Arben
author_sort Yang, Qiuyue
collection PubMed
description [Image: see text] Determination of the levels of heavy metal ions would support assessment of sources and pathways of water pollution. However, traditional spatial assessment by manual sampling and off-site detection in the laboratory is expensive and time-consuming and requires trained personnel. Aiming to fill the gap between on-site automatic approaches and laboratory techniques, we developed an autonomous sensing boat for on-site heavy metal detection using square-wave anodic stripping voltammetry. A fluidic sensing system was developed to integrate into the boat as the critical sensing component and could detect ≤1 μg/L Pb, ≤6 μg/L Cu, and ≤71 μg/L Cd simultaneously in the laboratory. Once its integration was completed, the autonomous sensing boat was tested in the field, demonstrating its ability to distinguish the highest concentration of Pb in an effluent of a galena-enriched mine compared to those at other sites in the stream (Osor Stream, Girona, Spain).
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spelling pubmed-86696332021-12-14 Development of a Heavy Metal Sensing Boat for Automatic Analysis in Natural Waters Utilizing Anodic Stripping Voltammetry Yang, Qiuyue Nagar, Bhawna Alvarez-Diduk, Ruslán Balsells, Marc Farinelli, Alessandro Bloisi, Domenico Proia, Lorenzo Espinosa, Carmen Ordeix, Marc Knutz, Thorsten De Vito-Francesco, Elisabetta Allabashi, Roza Merkoçi, Arben ACS ES T Water [Image: see text] Determination of the levels of heavy metal ions would support assessment of sources and pathways of water pollution. However, traditional spatial assessment by manual sampling and off-site detection in the laboratory is expensive and time-consuming and requires trained personnel. Aiming to fill the gap between on-site automatic approaches and laboratory techniques, we developed an autonomous sensing boat for on-site heavy metal detection using square-wave anodic stripping voltammetry. A fluidic sensing system was developed to integrate into the boat as the critical sensing component and could detect ≤1 μg/L Pb, ≤6 μg/L Cu, and ≤71 μg/L Cd simultaneously in the laboratory. Once its integration was completed, the autonomous sensing boat was tested in the field, demonstrating its ability to distinguish the highest concentration of Pb in an effluent of a galena-enriched mine compared to those at other sites in the stream (Osor Stream, Girona, Spain). American Chemical Society 2021-10-20 2021-12-10 /pmc/articles/PMC8669633/ /pubmed/34918010 http://dx.doi.org/10.1021/acsestwater.1c00192 Text en © 2021 American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Yang, Qiuyue
Nagar, Bhawna
Alvarez-Diduk, Ruslán
Balsells, Marc
Farinelli, Alessandro
Bloisi, Domenico
Proia, Lorenzo
Espinosa, Carmen
Ordeix, Marc
Knutz, Thorsten
De Vito-Francesco, Elisabetta
Allabashi, Roza
Merkoçi, Arben
Development of a Heavy Metal Sensing Boat for Automatic Analysis in Natural Waters Utilizing Anodic Stripping Voltammetry
title Development of a Heavy Metal Sensing Boat for Automatic Analysis in Natural Waters Utilizing Anodic Stripping Voltammetry
title_full Development of a Heavy Metal Sensing Boat for Automatic Analysis in Natural Waters Utilizing Anodic Stripping Voltammetry
title_fullStr Development of a Heavy Metal Sensing Boat for Automatic Analysis in Natural Waters Utilizing Anodic Stripping Voltammetry
title_full_unstemmed Development of a Heavy Metal Sensing Boat for Automatic Analysis in Natural Waters Utilizing Anodic Stripping Voltammetry
title_short Development of a Heavy Metal Sensing Boat for Automatic Analysis in Natural Waters Utilizing Anodic Stripping Voltammetry
title_sort development of a heavy metal sensing boat for automatic analysis in natural waters utilizing anodic stripping voltammetry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8669633/
https://www.ncbi.nlm.nih.gov/pubmed/34918010
http://dx.doi.org/10.1021/acsestwater.1c00192
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