Correlation between the microbial growth on different seafoods and the fluorometric response of sensor foils at different storage conditions

Alexander Altmann, Marie Krampe, Lea Barnewitz, Eleana Noti, Dominik Dörfel, Eckard Jantzen, Gereon Hüttmann, Christian Schell, Ramtin Rahmanzadeh

Abstract

Waste of edible food and the consumption of spoiled products within their shelf life are increasingly pressing
issues in food supply chains. Currently, assessing food freshness requires destructive testing of packaging and
product, which is inefficient. In this study, we developed a sensor foil that can be applied to seafood packages to
estimate edibility via fluorescence spectroscopy through the sealed package, thereby preserving the integrity of
the food. The sensor responds to amines in the gas phase, which serve as indicators of spoilage, through a specific
chemical reaction.
We investigated spoilage behavior and sensor response in model packages and demonstrated a significant
correlation between changes in fluorescence spectra and total viable counts (TVC) on seafood samples. Various
conditions and different concentrations of porphyrin-based foils were tested to evaluate their effectiveness.
Experiments with salmon, tuna, and shrimp confirmed the sensor foil’s applicability across different seafood
products, with correlation coefficients ranging from 0.7 to 0.8, indicating reliable performance under diverse
conditions.
These findings suggest that the sensor foil holds promise for real-time freshness monitoring along the entire
seafood supply chain. Future applications could include ensuring cold chain integrity, traceability of origin and
processing, and reducing food waste by providing consumers and distributors with accurate freshness
assessments
Original languageEnglish
Article number111523
JournalFood Control
Volume178
Pages (from-to)111523
Number of pages10
ISSN0956-7135
DOIs
Publication statusPublished - 26.06.2025

Research Areas and Centers

  • Academic Focus: Biomedical Engineering
  • Academic Focus: Center for Infection and Inflammation Research (ZIEL)

DFG Research Classification Scheme

  • 2.22-32 Medical Physics, Biomedical Technology

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