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Raspberry Pi Driven Flow-Injection System for Electrochemical Continuous Monitoring Platforms

Type of publication Peer-reviewed
Publikationsform Proceedings (peer-reviewed)
Author Francesca Stradolini, Abuduwaili Tuoheti, Danilo Demarchi, Federico Angiolini, Giovanni De Micheli, Bruno Donato, Sandro Carrara,
Project Continuous Monitoring of Anesthetics Concentration to Control Anesthesia Delivery (acronym: CoMofA)
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Proceedings (peer-reviewed)

Title of proceedings International conference BioCAS
Place Turin

Abstract

Nowadays, there is an immense interest regarding new bio-sensing technologies, highlighting the need for effective validation of their capabilities. This necessity is even more crucial when examining the proprieties of a sensor for continuous monitoring of a concentration trend in time, before in vivo implementations. Moreover, in the framework of personalised medical practices, it is imperative to introduce a robust way to represent and parametrise the highly variable responses of human metabolism. The aim of this paper is to propose a novel solution for the design of an automatic flow-injection environment that validates the performance of systems for continuous moni- toring. The setup is also validated for successfully reproducing a paracetamol concentration trend in buffer solution
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