ORGANIC ELECTROCHEMICAL TRANSISTOR ARRAYS FOR ADVANCED POINT-OF-NEED DIAGNOSTICS
In recent years, digital transformation has driven significant changes in multiple sectors, promoting decentralized and personalized systems. In this context, point-of-need (PON) devices have gained relevance by offering portable and accessible solutions, facilitating rapid and personalized diagnostics. Among these emerging technologies, organic electrochemical transistors (OECTs) have shown great potential as advanced platforms for biosensors, thanks to their high sensitivity, low power consumption and ability to convert ionic signals into electronic signals in real time.
This PhD thesis focuses on the design and development of platforms based on ion-selective OECT arrays for advanced point-of-need diagnostics. In contrast to conventional approaches, this work addresses materials optimization, chemometric model design for improved analytical accuracy and integration with portable electronic systems. The research explores the fabrication of sensors on paper substrates and their validation on real samples, with applications in monitoring key electrolytes and biomarkers in biological fluids.
In short, the objective of this doctoral thesis is to demonstrate the feasibility of these platforms for the development of compact, inexpensive and highly efficient devices, opening new possibilities in decentralized diagnosis and real-time health monitoring.
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