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Aplicació de node IoT  pel control de qualitat  de l’aigua

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Treballs Finals del Màster d’Energies Renovables i Sostenibilitat Energètica, Facultat de Física, Universitat de Barcelona. Curs: 2024-2025. Tutor: Cristian Fàbrega Gallego

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This project focuses on the design and development of a water quality monitoring system for the detection of Bisphenol A (BPA), a harmful endocrine-disrupting compound found in many consumer products. The work builds on an initial prototype developed by the Jozef Stefan Institute for Bisphenol S detection and adapts it to BPA, 
integrating it into an IoT-based monitoring platform. 
A series of electrochemical tests, including cyclic voltammetry, are conducted to characterize the redox behavior of BPA and determine the optimal detection voltage. 
Based on these findings, a custom printed circuit board (PCB) is designed and simulated using LTspice and KiCAD, with the goal of replicating potentiostat functionality in a compact and energy-efficient format. 
The system is designed to interface with a Worldsensing IoT node using LoRa wireless communication, allowing real-time data transmission over long distances. The final prototype is validated through laboratory experiments comparing the custom PCB's performance to a commercial potentiostat, confirming its reliability in BPA detection. 
This approach contributes to environmental monitoring innovation by enabling autonomous, remote sensing of water pollutants using low-power, scalable technology.

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Màster Oficial - Energies Renovables i Sostenibilitat Energètica

# metadata.dc.title[].value
Aplicació de node IoT  pel control de qualitat  de l’aigua