P30 - Identification of plastics in foodstuff using Rapid-FLIM and neural networks
- Event
- SMSI 2025
2025-05-06 - 2025-05-08
Nürnberg - Band
- Poster
- Chapter
- Poster Session
- Author(s)
- S. Heitzmann, A. Rajan, M. Versen, N. Leiter - University of Applied Sciences Rosenheim, Rosenheim (Germany)
- Pages
- 290 - 291
- DOI
- 10.5162/SMSI2025/P30
- ISBN
- 978-3-910600-06-5
- Price
- free
Abstract
The analysis of fluorescence lifetimes has the potential to reliably differentiate plastics from foodstuffs. A setup for use in an industrial process is required to work in real time. The combination of Rapid fluorescence lifetime imaging microscopy (Rapid-FLIM) and neural networks shows significant improvements in capture time compared to other FLIM technologies, while achieving a reliable differentiation of foodstuffs and plastics.