Sensors and Embedded Systems Design Lab (EMsensED Lab)
|
Address: viale delle scienze 181/A Ilaria De Munari, Full Professor, Coordinator - ilaria.demunari@unipr.it Valentina Bianchi, Associate Professor - valentina.bianchi@unipr.it Andrea Boni, Associate Professor - andrea.boni@unipr.it |
COME RAGGIUNGERCI
|
Research topics:
The activity is focused on the design of embedded systems based on Microcontrollers and/or FPGAs. The research group gained relevant experience in the implementation of advanced algorithms for data elaboration, and in the design of wearable/portable IoT sensors based on Wi-Fi, ZigBee and NB-IoT protocols, and of analog circuits for sensor interface, signal amplification, and analog-to-digital signal conversion. In this context, modular, portable electronic devices to be interfaced with electrochemical sensors to detect food quality have been designed.
In particular, flexible multichannel platforms designed for integrating multiple sensors, among which electronic noses (e-noses) and electronic tongues (e-tongues), targeting food quality and safety assessments have been designed. The proposed devices are designed aiming for maximum portability, allowing on-site analyses, and maximum modularity, to meet user requirements. The devices designed are equipped with wireless modules to allow data to be sent to a cloud, enabling, in an IoT vision, services supporting the digitization of the agrifood system for food quality.
Selected publications (max 10):
1. Stighezza M., De Munari I., Caselli M., Boni A., Bianchi V, "A Flexible Multi-Channel Platform for Versatile E-Nose and E-Tongue Operations" (2025) IEEE Transactions on Instrumentation and Measurement, vol. 74, pp. 1-14, 2025, Art no. 2006214
2. Magnani G., Giliberti C., Errico D., Stighezza M., Fortunati S., Mattarozzi M., Boni A., Bianchi V., Giannetto M., De Munari I., Cagnoni S., Careri M, "Evaluation of a Voltametric E-Tongue Combined with Data Preprocessing for Fast and Effective Machine Learning-Based Classification of Tomato Purées by Cultivar" (2024) Sensors, 24 (11), art. no. 3586
3. Stighezza M., Magnani G., Bianchi V., Cagnoni S., Boni A., Giliberti C., Errico D., Fortunati S., Giannetto M., Careri M., De Munari I., "Model-Based design of a Machine Learning algorithm for on-site food authenticity testing", (2024) 2024 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd4.0 and IoT 2024 - Proceedings, pp. 43 - 47
4. Boni A., Bianchi V., Fortunati S., Giannetto M., Careri M., De Munari I. "A Stand-Alone Portable Potentiostat With Parallel Channels for Smart Electrochemical Analyses" (2023) IEEE Transactions on Instrumentation and Measurement, 72, art. no. 7500112
5. Boni A., Bianchi V., Ricci A., De Munari I. "NB-IoT and Wi-Fi Technologies: An Integrated Approach to Enhance Portability of Smart Sensors" (2021) IEEE Access, 9, art. no. 9435286, pp. 74589 - 74599
6. Bianchi V., Boni A., Bassoli M., Giannetto M., Fortunati S., Careri M., De Munari I. "IoT and Biosensors: A Smart Portable Potentiostat with Advanced Cloud-Enabled Features", (2021) IEEE Access, 9, pp. 141544 - 141554
7. Bianchi V., Boni A., Fortunati S., Giannetto M., Careri M., De Munari I. "A Wi-Fi Cloud-Based Portable Potentiostat for Electrochemical Biosensors", (2020) IEEE Transactions on Instrumentation and Measurement, 69 (6), art. no. 8762122, pp. 3232 - 3240
ACTIVE PROJECTS
METROFOOD-IT Project through European Union-NextGenerationEU, PNRR—Mission 4 “Education and Research” Component 2: From Research to Business, Investment 3.1: Fund for the Realization of an Integrated System of Research and Innovation Infrastructures under Grant IR0000033 (D.M. (Ministerial Decree) Prot. n. 120 of 21 June 2022).