Affiliation:
1. MARE – Marine and Environmental Sciences Centre & ARNET – Aquatic Research Network Associated Laboratory Faculdade de Ciências da Universidade de Lisboa Lisbon Portugal
2. Departamento de Biologia Vegetal da Faculdade de Ciências da Universidade de Lisboa Lisbon Portugal
3. Southern Seas Ecology Laboratories, School of Biological Sciences The University of Adelaide Adelaide South Australia Australia
4. IPMA – Instituto Português do Mar e da Atmosfera Algés Portugal
5. MARE – Marine and Environmental Sciences Centre, Laboratório Marítimo da Guia & ARNET – Aquatic Research Network Associated Laboratory Faculdade de Ciências da Universidade de Lisboa Cascais Portugal
6. Departamento de Biologia Animal da Faculdade de Ciências da Universidade de Lisboa Lisbon Portugal
Abstract
AbstractThe high demand and economic relevance of cephalopods make them prone to food fraud, including related to harvest location. Therefore, there is a growing need to develop tools to unequivocally confirm their capture location. Cephalopod beaks are nonedible, making this material ideal for traceability studies as it can also be removed without a loss of commodity economic value. Within this context, common octopus (Octopus vulgaris) specimens were captured in five fishing areas along the Portuguese coast. Untargeted multi‐elemental total X‐ray fluorescence analysis of the octopus beaks revealed a high abundance of Ca, Cl, K, Na, S, and P, concomitant with the keratin and calcium phosphate nature of the material. We tested a suite of discrimination models on both elemental and spectral data, where the elements contributing most to discriminate capture location were typically associated with diet (As), human‐related pressures (Zn, Se, and Mn), or geological features (P, S, Mn, and Zn). Among the six different chemometrics approaches used to classify individuals to their capture location according to their beaks’ element concentration, classification trees attained a classification accuracy of 76.7%, whilst reducing the number of explanatory variables for sample classification and highlighting variable importance for group discrimination. However, using X‐ray spectral features of the octopus beaks further improved classification accuracy, with the highest classification of 87.3% found with partial least‐squares discriminant analysis. Ultimately, element and spectral analyses of nonedible structures such as octopus beaks can provide an important, complementary, and easily accessible means to support seafood provenance and traceability, whilst integrating anthropogenic and/or geological gradients.
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1 articles.
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