M2.3.3 - 3D-Printed Flow Cells with Piezoelectric Resonators and Machine Learning for Biofuel Characterization
- Event
- EUROSENSORS XXXVII
2025-09-07 - 2025-09-10
Wroclaw - Band
- Lectures
- Chapter
- M2.3 - 3D Printed Microfluidics
- Author(s)
- V. Corsino, V. Ruiz-Díez, A. Braic, J. L. Sánchez-Rojas - Universidad de Castilla La-Mancha, Toledo (Spain)
- Pages
- 78 - 79
- DOI
- 10.5162/EUROSENSORS2025/M2.3.3
- ISBN
- 978-3-910600-07-2
- Price
- free
Abstract
Biodiesels serve as a greener alternative to conventional fossil fuels. Typically produced from vegetable oils, these fuels tend to have higher viscosity, which, if excessive, can result in reduced engine effi-ciency. Existing methods for analyzing these properties require expensive equipment, limiting practical-ity. To address these challenges, we propose multi-resonant 3D-printed sensors integrated with simple electronics and machine learning algorithms, offering a portable and cost-effective solution for precise biofuel property evaluation.