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基于亲脂性化合物的代谢产物分析对紫苏(Perilla frutescens)品种的质量评估。

Metabolite profiling based on lipophilic compounds for quality assessment of perilla (Perilla frutescens) cultivars.

机构信息

National Academy of Agricultural Science, Rural Development Administration, Suwon, Republic of Korea.

出版信息

J Agric Food Chem. 2012 Mar 7;60(9):2257-63. doi: 10.1021/jf204977x. Epub 2012 Feb 27.

DOI:10.1021/jf204977x
PMID:22329700
Abstract

Lipophilic compounds from Korean perilla ( Perilla frutescens ) seeds were characterized to determine the diversity among their phytochemicals and to analyze relationships between their contents. Twenty-four metabolites consisting of policosanol, phytosterol, tocopherol, and fatty acids were identified. The metabolite profiles were subjected to data mining processes, including principal component analysis (PCA), partial least-squares discriminate analysis (PLS-DA), and Pearson's correlation analysis. PLS-DA could distinguish between all cultivars except between Daesil and Daeyeup cultivars. Linolenic acid contents were positively correlated with β-sitosterol (r = 0.8367, P < 0.0001) and γ-tocopherol contents (r = 0. 7201, P < 0.001) among all perilla grains. The Daesil and Daeyeup cultivars appear to be good candidates for future breeding programs because they have simultaneously high linolenic acid, phytosterol, and tocopherol levels. These results demonstrate the use of metabolite profiling as a tool for assessing the quality of food.

摘要

从韩国紫苏(Perilla frutescens)种子中提取的亲脂性化合物的特征,以确定其植物化学物质的多样性,并分析它们含量之间的关系。鉴定出由二十八烷醇、植物甾醇、生育酚和脂肪酸组成的 24 种代谢物。对代谢物图谱进行了数据挖掘处理,包括主成分分析(PCA)、偏最小二乘判别分析(PLS-DA)和 Pearson 相关分析。PLS-DA 可以区分所有品种,除了 Daesil 和 Daeyeup 品种之间。在所有紫苏籽粒中,亚麻酸含量与 β-谷甾醇(r = 0.8367,P < 0.0001)和γ-生育酚含量(r = 0.7201,P < 0.001)呈正相关。Daesil 和 Daeyeup 品种似乎是未来育种种质资源的良好候选品种,因为它们同时具有高亚麻酸、植物甾醇和生育酚水平。这些结果表明代谢物图谱分析可作为评估食品质量的工具。

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