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基于气相色谱-质谱联用的代谢物谱分析用于评估金头鲷的新鲜度()。

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

作者信息

Mallouchos Athanasios, Mikrou Theano, Gardeli Chrysavgi

机构信息

Department of Food Science and Human Nutrition, Agricultural University of Athens, Iera Odos 75, 118 55 Athens, Greece.

出版信息

Foods. 2020 Apr 9;9(4):464. doi: 10.3390/foods9040464.

Abstract

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.

摘要

金头鲷()是地中海地区最重要的养殖鱼类品种之一,人们对开发合适的方法来评估其新鲜度有着浓厚兴趣。在本研究中,采用基于气相色谱 - 质谱联用的代谢组学方法,监测金头鲷在冰上储存19天期间的亲水性代谢产物。此外,使用两种传统方法评估品质变化:根据欧盟分级方案进行感官评估以及-值,这是鱼类腐败最广泛使用的化学指标。通过化学计量学的应用,成功将鱼样本分类到不同的新鲜度类别,并建立了偏最小二乘回归模型来预测-值。发现了一系列差异代谢产物,根据其变化趋势将它们区分为新鲜度和腐败的潜在生物标志物。因此,结果支持了所提出方法对于获取海鲜品质信息的适用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2a0/7231230/9b221455a070/foods-09-00464-g001.jpg

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