首页|Fatty acid profiles as natural tracers of provenance and lipid quality indicators in illegally sourced fish and bivalves

Fatty acid profiles as natural tracers of provenance and lipid quality indicators in illegally sourced fish and bivalves

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  • NSTL
  • Elsevier
Determining where harvested or produced seafood comes from is a pressing issue worldwide, with growing consumers' demand for traceable and sustainable seafood products. Identifying fine-scale traceability markers is particularly important in the context of small-scale fisheries, which are prone to illegal harvesting and mislabelling and associated food safety risks. Here we explored the power of fatty acid profiling as a fine-scale tracer of the geographical origin (<30 km apart) of the Peppery furrow shell bivalve (Scrobicularia plana) and the European seabass (Dicentrarchus labrax) collected in three locations within a large, urbanized estuary. Fatty acid profiling provided a high classification accuracy of both species to their collection sites (80%-100% for the seabass and the bivalve respectively). Fatty acid profiling also allowed the determination of food lipid quality indices. The EPA + DHA values and the atherogenic (Ai), thrombogenic (Ti) and the hypocholesterolemic/hypercholesterolemic (h/H) indexes were all within ranges of high lipid-quality seafood, albeit they varied significantly among collection sites (except h/H). Overall, results highlight the strength of fatty acid profiling as a natural marker to trace the geographic origin of small-scale fisheries products, which may be integrated into a broader regulatory monitoring framework.

European seabassPeppery furrow shellSmall scale fisheriesProvenanceTraceabilityFatty acid profilingLipid quality indicesBASS DICENTRARCHUS-LABRAXSEA BASSMULTIVARIATE-ANALYSISTROPHIC MARKERSSEAFOODDIFFERENTIATIONAUTHENTICITYPATTERNSHEALTHL.

Fonseca, Vanessa F.、Duarte, Irina A.、Matos, Ana Rita、Reis-Santos, Patrick、Duarte, Bernardo

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Univ Lisbon

Univ Adelaide

2022

10.1016/j.foodcont.2021.108735

Food Control

Food Control

SCI
ISSN：0956-7135
年,卷(期)：2022.134
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