Resultats globals: 2 registres trobats en 0.02 segons.
Articles, 2 registres trobats
Articles 2 registres trobats  
1.
19 p, 3.3 MB An innovative autonomous robotic system for on-site detection of heavy metal pollution plumes in surface water / De Vito-Francesco, Elisabetta (University of Natural Resources and Life Sciences Vienna. Department of Water, Atmosphere, and Environment) ; Farinelli, Alessandro (University of Verona. Department of Computer Science) ; Yang, Qiuyue (Universitat Autònoma de Barcelona. Departament de Química) ; Nagar, Bhawna (Institut Català de Nanociència i Nanotecnologia) ; Álvarez Diduk, Ruslan (Institut Català de Nanociència i Nanotecnologia) ; Merkoçi, Arben (Institut Català de Nanociència i Nanotecnologia) ; Knutz, Thorsten (Go Systemelektronik GmbH) ; Haider, Alexander (Go Systemelektronik GmbH) ; Stach, Wolfgang (University of Natural Resources and Life Sciences Vienna. Department of Water, Atmosphere, and Environment) ; Ziegenbalg, Falko (University of Natural Resources and Life Sciences Vienna. Department of Water, Atmosphere, and Environment) ; Allabashi, Roza (University of Natural Resources and Life Sciences Vienna. Department of Water, Atmosphere, and Environment)
Smart monitoring has been studied and developed in recent years to create faster, cheaper, and more user-friendly on-site methods. The present study describes an innovative technology for investigative monitoring of heavy metal pollution (Cu and Pb) in surface water. [...]
2022 - 10.1007/s10661-021-09738-z
Environmental Monitoring and Assessment, Vol. 194 (January 2022) , art. 122  
2.
7 p, 2.2 MB 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)
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. [...]
2021 - 10.1021/acsestwater.1c00192
ACS Es&t Water, Vol. 1, Issue 12 (December 2021) , p. 2470-2476  

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