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.

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