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Authentication of European sea bass according to production method and geographical origin by light stable isotope ratio and rare earth elements analyses combined with chemometrics
In this work, stable isotope ratio (SIR) and rare earth elements (REEs) analyses, combined with multivariate data elaboration, were used to explore the possibility to authenticate European sea bass (Dicentrarchus labrax L.) according to: i) production method (wild or farmed specimens); ii) geographi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PAGEPress Publications, Pavia, Italy
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6452092/ https://www.ncbi.nlm.nih.gov/pubmed/31008086 http://dx.doi.org/10.4081/ijfs.2019.7872 |
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author | Varrà, Maria Olga Ghidini, Sergio Zanardi, Emanuela Badiani, Anna Ianieri, Adriana |
author_facet | Varrà, Maria Olga Ghidini, Sergio Zanardi, Emanuela Badiani, Anna Ianieri, Adriana |
author_sort | Varrà, Maria Olga |
collection | PubMed |
description | In this work, stable isotope ratio (SIR) and rare earth elements (REEs) analyses, combined with multivariate data elaboration, were used to explore the possibility to authenticate European sea bass (Dicentrarchus labrax L.) according to: i) production method (wild or farmed specimens); ii) geographical origin (Western, Central or Eastern Mediterranean Sea). The dataset under investigation included a total of 144 wild and farmed specimens coming from 17 different European areas located in the Mediterranean Sea basin. Samples were subjected to SIR analysis (carbon and nitrogen) and REEs analysis (lanthanum, europium, holmium, erbium, lutetium, and terbium). Then, Analytical data were handled by Principal Component Analysis (PCA) and then by Orthogonal Partial Last Square Discriminant Analysis (OPLS-DA), to obtain functional classification models to qualitatively discriminate sea bass according to the conditions under study. OPLSDA models provided good correct classification rate both for production method and geographical origin. It was confirmed that chemometric elaboration of data obtained from SIR and REEs analyses can be a suitable tool for an accurate authentication of European sea bass. |
format | Online Article Text |
id | pubmed-6452092 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | PAGEPress Publications, Pavia, Italy |
record_format | MEDLINE/PubMed |
spelling | pubmed-64520922019-04-19 Authentication of European sea bass according to production method and geographical origin by light stable isotope ratio and rare earth elements analyses combined with chemometrics Varrà, Maria Olga Ghidini, Sergio Zanardi, Emanuela Badiani, Anna Ianieri, Adriana Ital J Food Saf Article In this work, stable isotope ratio (SIR) and rare earth elements (REEs) analyses, combined with multivariate data elaboration, were used to explore the possibility to authenticate European sea bass (Dicentrarchus labrax L.) according to: i) production method (wild or farmed specimens); ii) geographical origin (Western, Central or Eastern Mediterranean Sea). The dataset under investigation included a total of 144 wild and farmed specimens coming from 17 different European areas located in the Mediterranean Sea basin. Samples were subjected to SIR analysis (carbon and nitrogen) and REEs analysis (lanthanum, europium, holmium, erbium, lutetium, and terbium). Then, Analytical data were handled by Principal Component Analysis (PCA) and then by Orthogonal Partial Last Square Discriminant Analysis (OPLS-DA), to obtain functional classification models to qualitatively discriminate sea bass according to the conditions under study. OPLSDA models provided good correct classification rate both for production method and geographical origin. It was confirmed that chemometric elaboration of data obtained from SIR and REEs analyses can be a suitable tool for an accurate authentication of European sea bass. PAGEPress Publications, Pavia, Italy 2019-03-22 /pmc/articles/PMC6452092/ /pubmed/31008086 http://dx.doi.org/10.4081/ijfs.2019.7872 Text en ©Copyright M.O. Varrà et al., 2019 http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Article Varrà, Maria Olga Ghidini, Sergio Zanardi, Emanuela Badiani, Anna Ianieri, Adriana Authentication of European sea bass according to production method and geographical origin by light stable isotope ratio and rare earth elements analyses combined with chemometrics |
title | Authentication of European sea bass according to production method and geographical origin by light stable isotope ratio and rare earth elements analyses combined with chemometrics |
title_full | Authentication of European sea bass according to production method and geographical origin by light stable isotope ratio and rare earth elements analyses combined with chemometrics |
title_fullStr | Authentication of European sea bass according to production method and geographical origin by light stable isotope ratio and rare earth elements analyses combined with chemometrics |
title_full_unstemmed | Authentication of European sea bass according to production method and geographical origin by light stable isotope ratio and rare earth elements analyses combined with chemometrics |
title_short | Authentication of European sea bass according to production method and geographical origin by light stable isotope ratio and rare earth elements analyses combined with chemometrics |
title_sort | authentication of european sea bass according to production method and geographical origin by light stable isotope ratio and rare earth elements analyses combined with chemometrics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6452092/ https://www.ncbi.nlm.nih.gov/pubmed/31008086 http://dx.doi.org/10.4081/ijfs.2019.7872 |
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