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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2021
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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). |
format | Online Article Text |
id | pubmed-8669633 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
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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