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Advisor(s)
Abstract(s)
Food fraud is still a recurrent practice throughout food supply chains. In the case of seafood, misidentification of
species and products repackaging constitute the most common frauds. Therefore, the development of appropriate analytical approaches to be used against food fraud is necessary. The present study goal is to explore for the first
time, the possibility to differentiate between Sparus aurata from two different mariculture farms located in
Madeira Island (Caniçal and Ribeira Brava), using the mass fingerprint of fish mucus obtained from MALDI-TOF MS and analyzed using Mass-UP software for multivariate statistical analysis and biomarker identification. It was possible to establish, from the mucus protein fraction, a set of potential biomarkers for each location in a total of
35 peaks, being 17 peaks specific to Caniçal located farm and 18 to Ribeira Brava. The proposed analytical
approach revealed a useful strategy providing accurate and fast results for fish geographical origin
discrimination.
Description
Keywords
Fish mucus MALDI-TOF MS Mass-UP PCA Authenticity Traceability . Faculdade de Ciências Exatas e da Engenharia Centro de Química da Madeira
Citation
Freitas, J., Silva, P., Perestrelo, R., Vaz-Pires, P., & Câmara, J. S. (2022). Improved approach based on MALDI-TOF MS for establishment of the fish mucus protein pattern for geographic discrimination of Sparus aurata. Food Chemistry, 372, 131237.
Publisher
Elsevier