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采用 UHPLC-Orbitrap-MS/MS 对叶片和茎提取物进行代谢物分析。

Metabolite profiling of leaves and stem extract using UHPLC-Orbitrap-MS/MS.

机构信息

Department of Chemistry, Faculty of Mathematics and Natural Sciences, IPB University, Bogor, Indonesia.

Advance Research Laboratory, Institute of Research and Community Services, IPB University, Bogor, Indonesia.

出版信息

Nat Prod Res. 2022 Jan;36(2):625-629. doi: 10.1080/14786419.2020.1789637. Epub 2020 Jul 13.

Abstract

is known as the king of bitter and it has been widely used as a medicinal plant. The properties of A. paniculata are generally determined by the metabolite composition, which may be influenced by several factors, one of which is the part of the plant extracted. The objectives of this research are to identify putatively the metabolite composition of the stem and the leaves extracts using LC-MS/MS and classify them using PCA. The stem and the leaves samples were separated and extracted using sonication with 70% ethanol. A total of 31 metabolite compounds has been putatively identified. All compounds were identified in the stem and the leaves extracts, which only differed in their intensity. These metabolite compounds were divided into diterpene lactones, flavonoids, and phenolic acid groups. By using the peak intensities of the 18 compounds identified, the leaves and stem extracts were grouped using PCA.

摘要

它被称为苦味之王,已被广泛用作药用植物。鸡骨草的特性通常由代谢物组成决定,而代谢物组成可能受多种因素影响,其中之一是植物提取的部位。本研究的目的是使用 LC-MS/MS 对茎和叶提取物的代谢物组成进行鉴定,并使用 PCA 对其进行分类。茎和叶样品通过用 70%乙醇进行超声处理来分离和提取。共鉴定出 31 种假定代谢物化合物。所有化合物均在茎和叶提取物中被鉴定出,仅在其强度上有所不同。这些代谢物化合物分为二萜内酯、黄酮类和酚酸类。通过使用鉴定出的 18 种化合物的峰强度,使用 PCA 对叶和茎提取物进行分组。

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