Artículo
Open Source Automated Flow Analysis Instrument for Detecting Arsenic in Water
Gutiérrez, Julián; Mochen, Juan Pablo; Eggly, Gabriel Martin
; Pistonesi, Marcelo Fabian; Santos, Rodrigo Martin
![Icon](/themes/CONICETDigital/images/conicet.png)
![Icon](/themes/CONICETDigital/images/conicet.png)
Fecha de publicación:
25/04/2022
Editorial:
Elsevier
Revista:
HardwareX
ISSN:
2468-0672
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
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.
Palabras clave:
ANALYSER
,
ARSENIC
,
FLOW-BATCH
,
PIEZOELECTRIC
,
QCM
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos (ICIC)
Articulos de INSTITUTO DE CS. E INGENIERIA DE LA COMPUTACION
Articulos de INSTITUTO DE CS. E INGENIERIA DE LA COMPUTACION
Articulos(INQUISUR)
Articulos de INST.DE QUIMICA DEL SUR
Articulos de INST.DE QUIMICA DEL SUR
Citación
Gutiérrez, Julián; Mochen, Juan Pablo; Eggly, Gabriel Martin; Pistonesi, Marcelo Fabian; Santos, Rodrigo Martin; Open Source Automated Flow Analysis Instrument for Detecting Arsenic in Water; Elsevier; HardwareX; 11; 25-4-2022; 1-18
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