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Gas Chromatography–Mass Spectrometry-Based Metabolite Profiling for the Assessment of Freshness in Gilthead Sea Bream (Sparus aurata)

机译:气相色谱-质谱分析代谢物分析法评估金头鲷(Sparus aurata)的新鲜度

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摘要

Gilthead sea bream ( ) is one of the most important farmed Mediterranean fish species, and there is considerable interest for the development of suitable methods to assess its freshness. In the present work, gas chromatography–mass spectrometry-based metabolomics was employed to monitor the hydrophilic metabolites of sea bream during storage on ice for 19 days. Additionally, the quality changes were evaluated using two conventional methods: sensory evaluation according to European Union’s grading scheme and -value, the most widely used chemical index of fish spoilage. With the application of chemometrics, the fish samples were successfully classified in the freshness categories, and a partial least squares regression model was built to predict -value. A list of differential metabolites were found, which were distinguished according to their evolution profile as potential biomarkers of freshness and spoilage. Therefore, the results support the suitability of the proposed methodology to gain information on seafood quality.
机译:吉尔海德鲷()是最重要的地中海养殖鱼类之一,人们对开发评估其新鲜度的合适方法颇有兴趣。在目前的工作中,基于气相色谱-质谱的代谢组学被用于监测在冰中储存19天的鲷鱼的亲水性代谢产物。此外,使用两种常规方法对质量变化进行了评估:根据欧盟的分级方案进行的感官评估和最广泛使用的鱼类变质化学指标-值。通过化学计量学的应用,成功地将鱼样品分类为新鲜度类别,并建立了偏最小二乘回归模型来预测价值。发现了一系列不同的代谢物,根据它们的演变过程将它们区别为新鲜和腐败的潜在生物标记。因此,结果支持了所提出的方法获得海鲜质量信息的适用性。

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