Open Source Automated Flow Analysis Instrument for Detecting Arsenic in Water

Gutiérrez, Julián et al · Elsevier · 2022

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Author / responsible party

Gutiérrez, Julián et al

Publisher

Elsevier

Year

2022

ISSN

2468-0672

ISSN

2468-0672

Language

English

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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. Fil: Gutiérrez, Julián. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; Argentina. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; Argentina Fil: Mochen, Juan Pablo. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; Argentina

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APA 7

Gutiérrez, J. E. A. (2022). Open Source Automated Flow Analysis Instrument for Detecting Arsenic in Water. https://nodovox.com/record.php?id=1146018

MLA

Gutiérrez, Julián et al. "Open Source Automated Flow Analysis Instrument for Detecting Arsenic in Water." 2022. https://nodovox.com/record.php?id=1146018.

Chicago

Gutiérrez, Julián et al. 2022. "Open Source Automated Flow Analysis Instrument for Detecting Arsenic in Water.". https://nodovox.com/record.php?id=1146018.

Harvard

Gutiérrez, J. E. A. 2022, Open Source Automated Flow Analysis Instrument for Detecting Arsenic in Water, Elsevier, available at: https://nodovox.com/record.php?id=1146018 [Accessed 9 Aug. 2026].

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Title: Open Source Automated Flow Analysis Instrument for Detecting Arsenic in Water

Author / contributors: Gutiérrez, Julián et al

Publisher: Elsevier

Publication year: 2022

ISSN: 2468-0672

ISSN: 2468-0672

Language: English

Subjects

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ANALYSER; ARSENIC; FLOW-BATCH; PIEZOELECTRIC; QCM; https://purl.org/becyt/ford/2.2; https://purl.org/becyt/ford/2