ÍNDICE DE FRESCOR OCULAR: UM MODELO MATEMÁTICO BASEADO EM IMAGENS PARA AVALIAÇÃO NÃO DESTRUTIVA DA QUALIDADE DE Pangasius sp.
DOI:
https://doi.org/10.18817/repesca.v17i1.4386Keywords:
OFI, Pangasius fish, Image analysis, Fish quality, Non-destructive methodAbstract
The assessment of fish freshness is essential to ensure product quality and food safety; however, traditional methods are often limited by subjectivity, high costs, and the need for laboratory infrastructure. In this context, this study aimed to develop and validate a non-destructive mathematical model, termed the Ocular Freshness Index (OFI), based on eye image analysis of Pangasius sp., to objectively evaluate fish freshness and quality during ice storage. Specimens were analyzed at three different time points: immediately after capture (ideal freshness), after 8 days (moderate freshness), and after 22 days of ice storage (poor freshness). Eye images were acquired under standardized conditions and processed using digital image analysis techniques to extract optical variables related to brightness, transparency, texture homogeneity, and specular reflectivity. These variables were integrated into a continuous mathematical model to generate the OFI. The results revealed measurable changes in ocular parameters as storage time increased, demonstrating the sensitivity of the index to post-mortem deterioration processes. The proposed method proved to be feasible, low-cost, and applicable under real commercialization conditions, representing a promising tool to complement traditional fish freshness assessment methods.
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