Elemental composition in soft tissues as a model for identifying batches of juvenile Atlantic blueﬁn tuna (Thunnus thynnus)

Salvat-Leal, Inmaculada; Ortega, Aurelio; Blanco, Edurne; García, Jaime; Romero, Diego

Publication:
Elemental composition in soft tissues as a model for identifying batches of juvenile Atlantic blueﬁn tuna (Thunnus thynnus)

dc.contributor.author	Salvat-Leal, Inmaculada
dc.contributor.author	Ortega, Aurelio
dc.contributor.author	Blanco, Edurne
dc.contributor.author	García, Jaime
dc.contributor.author	Romero, Diego
dc.contributor.department	Ciencias Sociosanitarias
dc.date.accessioned	2024-03-14T08:32:04Z
dc.date.available	2024-03-14T08:32:04Z
dc.date.issued	2023-01-26
dc.description	© 2023 The Authors.This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ This document is Published version of a Published Work that appeared in final form in Journal of Food Composition and Analysis. To access the final edited and published work see https://doi.org/10.1016/j.jfca.2023.105176	es
dc.description.abstract	Integral Atlantic bluefin tuna (Thunnus thynnus) aquaculture will become a reality in the coming years and so tuna batches will have to be clearly identifiable to avoid commercial fraud and ensure this species’ conservation. Consequently, the objective of this study was to analyse the components of juvenile bluefin tissue to be able to discriminate between three tuna batches: specimens born in captivity and raised in inland facilities (onshore tanks), fish born in captivity and raised in the sea (sea cages), and wild tuna. Ten macro and trace elements (Ca, Fe, K, Mg, Na, P, S, Cu, Mn and Zn) were selected, and their concentrations were analysed in four soft tissues: liver, kidney, brain and muscle. Only one of the elements (Cu) showed statistically significant differences for fish batch in all tissues, so multivariate tests (Principal Component Analysis, PCA and Canonical Discriminant Analysis, DCA) were performed. In the PCA, there were partial batches separation in kidney and muscle. In DCA, the percentage of cases correctly classified using this validation were 60.8 % (liver), 88.6 % (kidney), 79.5 % (muscle) and 82.2 % (brain). Globally, muscle appear to be the best tissue for discriminating the batch of tunas, and wild specimens are the most readily identifiable.	es
dc.format	application/pdf	es
dc.format.extent	9	es
dc.identifier.citation	Journal of Food Composition and Analysis, Vol. 118, 2023, 105176
dc.identifier.doi	https://doi.org/10.1016/j.jfca.2023.105176
dc.identifier.issn	Print: 0889-1575
dc.identifier.issn	Electronic: 1096-0481
dc.identifier.uri	http://hdl.handle.net/10201/140188
dc.language	eng	es
dc.publisher	Elsevier	es
dc.relation	This work was supported by the Ministerio de Economía y Com-petitividad, Programa Estatal de I+D+i Orientada a los Retos de la Sociedad (Ref. RTC-2016–5835–2). The ﬁrst author was granted with predoctoral contract of the Fundación Séneca, Agencia de Ciencia y Tecnología, Regi´on de Murcia, Spain.	es
dc.relation.publisherversion	https://www.sciencedirect.com/science/article/pii/S0889157523000509?via%3Dihub#ab0010	es
dc.rights	info:eu-repo/semantics/openAccess	es
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	Bluefin tuna	es
dc.subject	Food analysis	es
dc.subject	Food composition	es
dc.subject	Soft tissues	es
dc.subject	Trace elements	es
dc.title	Elemental composition in soft tissues as a model for identifying batches of juvenile Atlantic blueﬁn tuna (Thunnus thynnus)	es
dc.type	info:eu-repo/semantics/article	es
dspace.entity.type	Publication	es