Open Source Automated Flow Analysis Instrument for Detecting Arsenic in Water

In this paper the design and implementation of an embedded system based on Flow-Batch methodology with a Quartz Crystal Microbalance (QCM) sensor technology and a commercial FPGA admittance meter is presented to detect the presence of arsenic in water. The system’s performance was evaluated with lab...

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Autores principales: Gutiérrez, Julián, Mochen, Juan Pablo, Eggly, Gabriel, Pistonesi, Marcelo, Santos, Rodrigo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9058723/
https://www.ncbi.nlm.nih.gov/pubmed/35509915
http://dx.doi.org/10.1016/j.ohx.2022.e00284
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author Gutiérrez, Julián
Mochen, Juan Pablo
Eggly, Gabriel
Pistonesi, Marcelo
Santos, Rodrigo
author_facet Gutiérrez, Julián
Mochen, Juan Pablo
Eggly, Gabriel
Pistonesi, Marcelo
Santos, Rodrigo
author_sort Gutiérrez, Julián
collection PubMed
description In this paper the design and implementation of an embedded system based on Flow-Batch methodology with a Quartz Crystal Microbalance (QCM) sensor technology and a commercial FPGA admittance meter is presented to detect the presence of arsenic in water. The system’s performance was evaluated with lab made samples and it is foresee that this open source automated flow instrument could help develop analytical methodologies for the future quantification of this analyte. A description of the components is presented and assembling and operation instructions are provided together with the dynamic range and linear regression coefficients for the line and R.
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spelling pubmed-90587232022-05-03 Open Source Automated Flow Analysis Instrument for Detecting Arsenic in Water Gutiérrez, Julián Mochen, Juan Pablo Eggly, Gabriel Pistonesi, Marcelo Santos, Rodrigo HardwareX Article In this paper the design and implementation of an embedded system based on Flow-Batch methodology with a Quartz Crystal Microbalance (QCM) sensor technology and a commercial FPGA admittance meter is presented to detect the presence of arsenic in water. The system’s performance was evaluated with lab made samples and it is foresee that this open source automated flow instrument could help develop analytical methodologies for the future quantification of this analyte. A description of the components is presented and assembling and operation instructions are provided together with the dynamic range and linear regression coefficients for the line and R. Elsevier 2022-03-09 /pmc/articles/PMC9058723/ /pubmed/35509915 http://dx.doi.org/10.1016/j.ohx.2022.e00284 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gutiérrez, Julián
Mochen, Juan Pablo
Eggly, Gabriel
Pistonesi, Marcelo
Santos, Rodrigo
Open Source Automated Flow Analysis Instrument for Detecting Arsenic in Water
title Open Source Automated Flow Analysis Instrument for Detecting Arsenic in Water
title_full Open Source Automated Flow Analysis Instrument for Detecting Arsenic in Water
title_fullStr Open Source Automated Flow Analysis Instrument for Detecting Arsenic in Water
title_full_unstemmed Open Source Automated Flow Analysis Instrument for Detecting Arsenic in Water
title_short Open Source Automated Flow Analysis Instrument for Detecting Arsenic in Water
title_sort open source automated flow analysis instrument for detecting arsenic in water
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9058723/
https://www.ncbi.nlm.nih.gov/pubmed/35509915
http://dx.doi.org/10.1016/j.ohx.2022.e00284
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