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Rapid identification of cod authenticity based on hyperspectral imaging technology.

Yu Xia1, Dong Li1, Yilin Wang1

  • 1College of Ocean Food and Biological Engineering, Jimei University, Xiamen 361021, China.

Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy
|October 10, 2024
PubMed
Summary

Hyperspectral imaging (HSI) accurately identifies authentic Atlantic cod fillets. This non-destructive method, using Visible and Near-Infrared (Vis-NIR) spectroscopy, offers a reliable solution for detecting fraud in seafood markets.

Keywords:
Atlantic codAuthenticityHyperspectral imaging

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Area of Science:

  • Food Science and Technology
  • Analytical Chemistry
  • Spectroscopy

Background:

  • Atlantic cod holds significant economic value, making its market susceptible to fraudulent mislabeling.
  • Accurate and rapid identification of seafood authenticity is crucial for consumer trust and regulatory compliance.
  • Non-destructive analytical techniques are highly desirable for quality control in the food industry.

Purpose of the Study:

  • To evaluate the efficacy of hyperspectral imaging (HSI) systems in determining the authenticity of Atlantic cod fillets.
  • To compare the performance of Visible and Near-Infrared (Vis-NIR) and Short-Wave Infrared (SWIR) spectral ranges for cod authenticity assessment.
  • To develop and validate robust chemometric models for accurate, non-destructive identification of Atlantic cod.

Main Methods:

  • Hyperspectral imaging (HSI) was employed, covering Vis-NIR (400-1000 nm) and SWIR (900-1700 nm) spectral ranges.
  • Atlantic cod fillets were analyzed in both frozen and thawed states.
  • Chemometric models, including Random Forest (RF) and Linear Discriminant Analysis (LDA), were developed. Variable selection algorithms like Successive Projections Algorithm (SPA) and Variable Combination Population Analysis-Iteratively Retaining Informative Variables (VCPA-IRIV) were utilized.

Main Results:

  • The Vis-NIR spectral range generally yielded superior model performance compared to the SWIR range.
  • Random Forest (RF) and Linear Discriminant Analysis (LDA) models utilizing Vis-NIR data achieved perfect classification accuracy (100%).
  • Variable screening algorithms (SPA and VCPA-IRIV) successfully simplified data while maintaining 100% accuracy for the LDA model in the Vis-NIR bands.

Conclusions:

  • Hyperspectral imaging (HSI) is a highly effective and promising technology for the rapid, non-destructive authentication of Atlantic cod.
  • Vis-NIR spectroscopy, combined with appropriate chemometric modeling and variable selection, provides a robust solution for identifying cod authenticity.
  • The developed HSI methodology offers a practical tool to combat fraud and ensure the quality of Atlantic cod in the market.