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Development of a heavy metal sensing boat for automatic analysis in natural waters utilizing anodic stripping voltammetry
Yang, Qiuyue (Institut Català de Nanociència i Nanotecnologia)
Nagar, Bhawna (Institut Català de Nanociència i Nanotecnologia)
Álvarez Diduk, Ruslan (Institut Català de Nanociència i Nanotecnologia)
Balsells, Marc (Institut Català de Nanociència i Nanotecnologia)
Farinelli, Alessandro (University of Verona. Department of Computer Science)
Bloisi, Domenico (University of Basilicata. Department of Mathematics, Computer Science and Economics)
Proia, Lorenzo (Universitat de Vic - Universitat Central de Catalunya. Centre Tecnològic BETA)
Espinosa, Carmen (Universitat de Vic - Universitat Central de Catalunya. Centre d'Estudis dels Rius Mediterranis)
Ordeix, Marc (Universitat de Vic - Universitat Central de Catalunya. Centre d'Estudis dels Rius Mediterranis)
Knutz, Thorsten (Go Systemelektronik GmbH (Germany))
De Vito-Francesco, Elisabetta (University of Natural Resources and Life Sciences. Institute for Sanitary Engineering and Water Pollution Control)
Allabashi, Roza (University of Natural Resources and Life Sciences. Institute for Sanitary Engineering and Water Pollution Control)
Merkoçi, Arben (Institut Català de Nanociència i Nanotecnologia)

Date: 2021
Abstract: 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).
Grants: European Commission 689341
Ministerio de Economía, Industria y Competitividad SEV-2017-0706
European Commission 801370
Note: Altres ajuts: CERCA Programme/Generalitat de Catalunya
Rights: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Language: Anglès
Document: Article ; recerca ; Versió publicada
Subject: Automatic sampling ; Automatic sensing system ; Spatial assessment of heavy metal ; Screen-printed electrode ; Square-wave voltammetry
Published in: ACS Es&t Water, Vol. 1, Issue 12 (December 2021) , p. 2470-2476, ISSN 2690-0637

DOI: 10.1021/acsestwater.1c00192
PMID: 34918010


7 p, 2.2 MB

The record appears in these collections:
Research literature > UAB research groups literature > Research Centres and Groups (research output) > Experimental sciences > Catalan Institute of Nanoscience and Nanotechnology (ICN2)
Articles > Research articles
Articles > Published articles

 Record created 2022-01-11, last modified 2024-08-29



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