首页> 外文期刊>Italian Journal of Food Safety >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
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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

机译:根据稳定的同位素比和稀土元素分析结合化学计量学,根据生产方法和产地对欧洲鲈鱼进行鉴定

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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.
机译:在这项工作中,稳定同位素比(SIR)和稀土元素(REEs)分析与多变量数据阐述相结合,被用于探索根据以下条件对欧洲鲈鱼(Dicentrarchus labrax L.)进行身份验证的可能性:野生或养殖的标本); ii)地理起源(西部,中部或东部地中海)。调查的数据集包括来自位于地中海海盆的17个不同欧洲地区的144个野生和养殖标本。对样品进行SIR分析(碳和氮)和REEs分析(镧,euro,、,、和ter)。然后,将分析数据通过主成分分析(PCA),然后通过正交偏最后平方判别分析(OPLS-DA)进行处理,以获得根据研究条件定性区分海鲈的功能分类模型。 OPLSDA模型为生产方法和地理来源提供了良好的正确分类率。可以肯定的是,对从SIR和REEs分析获得的数据进行化学计量的完善可以成为准确鉴定欧洲鲈鱼的合适工具。

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