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采用 GC-MS 和 GC-FID 分析 及其挥发成分的生物活性,并采用多元数据分析进行区分。

GC-MS and GC-FID analyses of the volatile constituents of and their biological activities and their differentiation using multivariate data analysis.

机构信息

Department of Pharmacognosy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt.

Department of Pharmaceutical Biology, Faculty of Pharmacy and Biotechnology, German University in Cairo, Cairo, Egypt.

出版信息

Nat Prod Res. 2020 Feb;34(4):590-594. doi: 10.1080/14786419.2018.1490908. Epub 2018 Nov 16.

DOI:10.1080/14786419.2018.1490908
PMID:30445846
Abstract

The volatile constituents of the leaves and flowers of and (Malvaceae) were characterized by GC-FID and GC-MS. A total of 92 compounds were identified. The major component of leaves was -farnesene (34.57%) while in the flowers it was -heptacosane (29.5%). (8, 11, 14Z)-heptadecatrienal (21.2%) in the leaves and palmitic acid (83.49%) in the flowers represent the abundant ingredients of . Unsupervised pattern recognition techniques of multivariate data analysis exemplified by hierarchical cluster analysis (HCA) and principle component analysis (PCA) relying upon chromatographic results effectively discriminate the two related species. Also, both investigated species were assessed for their cytotoxic and antimicrobial efficacy. Results revealed that flowers showed the highest cytotoxicity against human lung carcinoma (A-549) cell lines with IC equals 7.98 μg/mL, whereas leaves exhibited the highest antimicrobial potency against all tested microorganisms namely , as well as and (MICs between 0.98 and 15.63 µg/mL) except for .

摘要

利用 GC-FID 和 GC-MS 对 和 (锦葵科)的叶和花的挥发性成分进行了表征。共鉴定出 92 种化合物。叶子的主要成分是 -法呢烯(34.57%),而在花中则是 -十七烷(29.5%)。(8,11,14Z)-十七碳三烯醛(21.2%)在叶子中,棕榈酸(83.49%)在花中代表 的丰富成分。多元数据分析的无监督模式识别技术,例如层次聚类分析(HCA)和主成分分析(PCA),基于色谱结果有效地区分了这两个相关物种。此外,还评估了这两个被调查的物种的细胞毒性和抗菌功效。结果表明,花对人肺癌(A-549)细胞系的细胞毒性最高,IC 为 7.98μg/mL,而叶对所有测试的微生物均表现出最高的抗菌效力,包括 、 以及 和 (MIC 介于 0.98 和 15.63μg/mL),但 除外。

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