Open Source Automated Flow Analysis Instrument for Detecting Arsenic in Water

MOCHEN, JUAN PABLO; SANTOS, RODRIGO; GUTIÉRREZ, JULIÁN; PISTONESI, MARCELO; EGGLY, GABRIEL

HardwareX

Elsevier Ltd

Año: 2022 vol. 11

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.