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大西洋鲑(Salmo salar)来源的确定:利用多探针和多元素同位素分析结合脂肪酸组成来评估野生或养殖来源。

Determination of origin of Atlantic salmon (Salmo salar): the use of multiprobe and multielement isotopic analyses in combination with fatty acid composition to assess wild or farmed origin.

作者信息

Thomas Freddy, Jamin Eric, Wietzerbin Karine, Guérin Régis, Lees Michele, Morvan Eric, Billault Isabelle, Derrien Solène, Moreno Rojas Jose Manuel, Serra Francesca, Guillou Claude, Aursand Marit, McEvoy Lesley, Prael Angelika, Robins Richard J

机构信息

Eurofins Scientific Analytics, Rue PA Bobierre, BP 42301, 44323 Nantes Cedex 3, France.

出版信息

J Agric Food Chem. 2008 Feb 13;56(3):989-97. doi: 10.1021/jf072370d. Epub 2008 Jan 8.

Abstract

Variability within the stable isotope ratios in various lipidic fractions and the fatty acid composition of muscle oil has been analyzed for a large sample (171 fish) of wild and farmed Atlantic salmon ( Salmo salar) from 32 origins within Europe, North America, and Tasmania. Sampling was extended over all seasons in 2 consecutive years and included fish raised by different practices, in order to maximize the range of variation present. It is shown that two readily measured parameters, delta 15N measured on choline and delta18 O measured on total oil, can be successfully used to discriminate between fish of authentic wild and farmed origin. However, the certainty of identification of mislabeling in market-derived fish is strengthened by including the percentage of linoleic acid C18:2n-6 in the lipidic fraction. Thus, several apparent misidentifications were found. The combination of these three analytical parameters and the size of the database generated makes the method practical for implementation in official laboratories as a tool of labeling verification.

摘要

对来自欧洲、北美和塔斯马尼亚32个产地的大量野生和养殖大西洋鲑(Salmo salar)样本(171条鱼)的各种脂质组分中稳定同位素比率的变异性以及肌肉油的脂肪酸组成进行了分析。连续两年在所有季节进行采样,样本包括采用不同养殖方式饲养的鱼,以最大限度地扩大存在的变异范围。结果表明,两个易于测量的参数,即胆碱上测得的δ15N和总油上测得的δ18O,可以成功用于区分野生和养殖来源的正宗鱼类。然而,通过纳入脂质组分中亚油酸C18:2n-6的百分比,可增强对市场上鱼类误标识别的确定性。因此,发现了几例明显的误识别情况。这三个分析参数与所生成数据库的规模相结合,使得该方法在官方实验室中作为标签验证工具得以实际应用。

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