Advancing Wireless Sensing: PEDOT Integration in High-Frequency RFID Sensors
This paper explores the integration of Poly(3,4)-ethylenedioxythiophene (PEDOT), a conductive polymer, into high-frequency RFID tags for real-time sensing applications. By modelling PEDOT as a material with tunable conductivity, the study compares various deposition methods (specifically, selective application on targeted regions versus complete coating of the tag) to assess how the polymer molecular organization and the deposition technique influence sensor performance. The findings demonstrate that the resulting sensor is not only cost-effective and scalable but also fully compatible with existing 13.56 MHz RFID systems. Comprehensive experimental evaluations and numerical simulations confirm that the PEDOT layer can accurately modulate the tag frequency response to external environmental changes. Key applications include logistics, healthcare, IoT systems, and environmental monitoring, where the sensor supports advanced tracking, temperature integrity control, and sustainable operations. Building on initial simulations, detailed experimental validation underscores the potential of organic semiconductor-based RFID sensors as a transformative solution for high-sensitivity, real-time monitoring in both industrial and commercial environments.
Authors
- Giuseppe Sforazzini (ORCID: https://orcid.org/0000-0002-5621-2841)
- Giorgio Montisci (ORCID: https://orcid.org/0000-0003-1287-7697)
- Piero Cosseddu (ORCID: https://orcid.org/0000-0003-4896-504X)
- Giovanni Andrea Casula (ORCID: https://orcid.org/0000-0002-1770-5977)
- Antonello Mascia (ORCID: https://orcid.org/0000-0002-4185-7225)
- Paolo Maxia (ORCID: https://orcid.org/0000-0003-1723-9010)
- G. Mura (ORCID: https://orcid.org/0000-0002-8452-2345)
- Enrico Mattana
Institutions
- University of Cagliari (IT)
- Osservatorio Astronomico di Cagliari (IT)
Publication Details
- Published
- 2025-06-16
- DOI
- https://doi.org/10.23919/splitech65624.2025.11091691
- Primary Topic
- Energy Efficient Wireless Sensor Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00