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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Detalles Bibliográficos
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
Descripción
Sumario: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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