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May 1, 2026Italian Journal of Food SafetyOpen Access

Spectroscopic control of fish products: simultaneous recognition of species and thawed status in large-scale distribution

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Authors

MRMartina Marcolin RoncatoUniversity of PaduaSCSarah CurròUniversity of PaduaTBTatiana BredaUniversity of Padua

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Implication

Randomized trial investigates the effectiveness of near-infrared spectroscopy for fish species and status in large-scale retail, indicating potential for improved traceability.

Key Points

  • This research aims to develop a reliable method for identifying fish species and their thawed status using spectroscopy to enhance traceability.
  • Utilized near-infrared spectroscopy to acquire spectral fingerprints of 218 fish samples across 40 retail points.
  • Developed classification models using chemometric and machine learning approaches on datasets acquired with and without packaging.
  • Analyzed classification accuracies and agreements between spectroscopic predictions for species identification and status.
  • Achieved classification accuracies ranging from 0.92 to 0.69 for species and frozen-thawed status.
  • Demonstrated strong agreement in predictions with Cohen's κ=0.83 for fresh versus frozen-thawed classification.
  • Achieved κ=0.77 for species identification, indicating effective use of portable spectroscopy in retail settings.

Cite This Study

Roncato et al. (2026) studied this question.

synapsesocial.com/papers/69f44223967e944ac5565e63https://doi.org/10.4081/ijfs.2026.14840
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