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利用氢核磁共振植物代谢组学对某植物不同部位甲醇提取物的研究 (注:原文中“L.”指代不明,这里按常规情况翻译,实际需根据具体植物名称准确翻译)

Study of Methanol Extracts from Different Parts of L. Using H-NMR Plant Metabolomics.

作者信息

Li Yinping, He Qing, Du Shushan, Guo Shanshan, Geng Zhufeng, Deng Zhiwei

机构信息

College of Chemistry, Beijing Normal University, Beijing 100875, China.

College of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi, Xinjiang 830000, China.

出版信息

J Anal Methods Chem. 2018 Nov 18;2018:6532789. doi: 10.1155/2018/6532789. eCollection 2018.

Abstract

A nuclear magnetic resonance- (NMR-) based metabolomics method was used to identify differential metabolites of methanol extracts obtained from six parts of L. (), namely, the root, stem, leaf, flower, testa, and seed. Two multivariate statistical analysis methods, principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA), were combined to clearly distinguish among the samples from the six different parts. Eleven differential components were screened by the PLS-DA loading plot, and the relative contents were calculated by univariate analysis of variance. Chemometric results showed significant differences in the metabolites of the different parts of . The seeds contained large amounts of harmaline, harmine, and vasicine compared to other organs. The acetic acid, proline, lysine, and sucrose contents of the roots were significantly higher than those of the other parts. In the testa, the vasicine, asparagine, choline, and 4-hydroxyisoleucine contents were clearly dominant. The obtained data revealed the distribution characteristics of the metabolomes of the different parts and provided fundamental knowledge for the rational development of its medicinal parts.

摘要

采用基于核磁共振(NMR)的代谢组学方法,对从L.()的六个部位,即根、茎、叶、花、种皮和种子中获得的甲醇提取物的差异代谢物进行鉴定。结合主成分分析(PCA)和偏最小二乘判别分析(PLS-DA)这两种多元统计分析方法,以清晰区分来自六个不同部位的样本。通过PLS-DA载荷图筛选出11种差异成分,并通过单因素方差分析计算其相对含量。化学计量学结果表明,L.不同部位的代谢物存在显著差异。与其他器官相比,种子中含有大量的哈尔满、去氢骆驼蓬碱和鸭嘴花碱。根中的乙酸、脯氨酸、赖氨酸和蔗糖含量显著高于其他部位。在种皮中,鸭嘴花碱、天冬酰胺、胆碱和4-羟基异亮氨酸的含量明显占主导。所获得的数据揭示了L.不同部位代谢组的分布特征,并为其药用部位的合理开发提供了基础知识。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c97/6276451/3ae7b9723246/JAMC2018-6532789.001.jpg

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