10/10/2026
🐟🤖 New paper out in Food Control!
When you buy sea bream at the fish counter, you trust the label. But what if that trust is misplaced?
Seafood mislabelling is one of the most widespread forms of food fraud globally, with studies reporting that nearly 40% of seafood products in some commercial markets misrepresent their origin or production method. For a species like gilthead sea bream (Sparus aurata), one of the most commercially important fish in the Mediterranean and Atlantic markets, the difference between wild-caught and farmed can mean significant price differences, nutritional distinctions, and environmental implications.
In our latest study, we asked: can fatty acids be used as molecular fingerprints to tell wild and farmed sea bream apart? And can machine learning make this scalable?
We analysed the fatty acid profiles of 120 gilthead sea bream collected from wild fisheries and from cage-reared and pond-reared aquaculture systems across the Northeast Atlantic (from mainland Portugal to Madeira Island). We then trained a Random Forest machine learning model to classify specimens by their production group, and used SHAP analysis to identify which fatty acids drove the discrimination.
🤖 99.1% classification accuracy - the model correctly identified wild-caught and farmed sea bream with near-perfect precision, without needing DNA analysis or isotope testing
🔑 Key traceability biomarkers identified - linoleic acid (LA), EPA, palmitic acid and DPA were the most informative fatty acids, with differences likely reflecting dietary inputs and aquafeed formulation across production systems
🫀 All groups are nutritionally valuable - both wild and farmed sea bream are rich in heart-healthy long-chain omega-3 fatty acids EPA and DHA, with a 100g serving contributing meaningfully toward the EFSA-recommended daily intake of 250mg EPA + DHA for cardiovascular health
🌊 Wild fish showed higher relative omega-3 abundance - while cage-reared specimens had higher total lipid content, yielding comparable or greater absolute EPA + DHA per 100g of muscle
♻️ A scalable tool for food integrity - fatty acid profiling coupled with machine learning offers a biologically meaningful, cost-effective framework for seafood authentication that can be progressively expanded across species, markets and supply chains
This work contributes directly to the growing toolkit for seafood traceability in the Portuguese and European markets, supporting food control authorities, producers and consumers in navigating an increasingly complex seafood supply chain.
📄 https://www.sciencedirect.com/science/article/pii/S0956713526007176
Faculdade de Ciências da Universidade de Lisboa
MARE - Centro de Ciências do Mar e do Ambiente
ARNET - Aquatic Research Network
BioISI - Biosystems & Integrative Sciences Institute
Ciimar
Observatório Oceânico da Madeira