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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Detection Methods Food & Water Human Health Effects Marine & Wildlife Policy & Risk Sign in to save

Protein Signatures to Trace Seafood Contamination and Processing

Foods 2020 14 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 40 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Iciar Martı́nez, Iciar Martı́nez, Isabel Sánchez‐Alonso, Iciar Martı́nez, Carmen Piñeiro, Mercedes Careche, Mónica Carrera Mónica Carrera Mónica Carrera Mónica Carrera Mónica Carrera Mónica Carrera

Summary

This review examined how proteomics and spectroscopic techniques can be applied to seafood traceability, including tracking exposure to emerging contaminants such as microplastics and triclosan, as well as authenticating geographic origin and distinguishing fresh from frozen fish. The authors highlighted how protein signatures and vibrational spectroscopy methods are advancing the ability to detect both environmental contamination and processing history in seafood products.

This review presents some applications of proteomics and selected spectroscopic methods to validate certain aspects of seafood traceability. After a general introduction to traceability and the initial applications of proteomics to authenticate traceability information, it addresses the application of proteomics to trace seafood exposure to some increasingly abundant emergent health hazards with the potential to indicate the geographic/environmental origin, such as microplastics, triclosan and human medicinal and recreational drugs. Thereafter, it shows the application of vibrational spectroscopy (Fourier-Transform Infrared Spectroscopy (FTIR) and Fourier-Transform Raman Spectroscopy (FT Raman)) and Low Field Nuclear Magnetic Resonance (LF-NMR) relaxometry to discriminate frozen fish from thawed fish and to estimate the time and temperature history of frozen fillets by monitoring protein modifications induced by processing and storage. The review concludes indicating near future trends in the application of these techniques to ensure seafood safety and traceability.

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