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

Internet

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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