4.6 Article

Analysis of the Volatile Components in Selaginella doederleinii by Headspace Solid Phase Microextraction-Gas Chromatography-Mass Spectrometry

期刊

MOLECULES
卷 25, 期 1, 页码 -

出版社

MDPI
DOI: 10.3390/molecules25010115

关键词

Selaginella doederleinii; HS-SPME; GC-MS; volatile profile

资金

  1. 2011 Collaborative Inovation Center of Guizhou Traditional Chinese Medicine and Ethnic medicine [Qianjiaokeyanfa (2012) 311]
  2. 2015 National Science Foundation of China [81560569]
  3. 2018 National Science Foundation of China [81860697]

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Selaginella doederleinii (SD) is a perennial medicinal herb widely distributed in China. In this study, the volatile components of SD from two regions (24 batches), namely Zhejiang and Guizhou, were determined by combining headspace solid phase microextraction and gas chromatography-mass spectrometry (HS-SPME/GC-MS). After investigating different influence factors, the optimal conditions for extraction were as follows: The sample amount of 1 g, the polydimethylsiloxane-divinylbenzene (PDMS-DVB) fiber of 65 mu m, the extraction time of 20 min, and the extraction temperature of 100 degrees C. Based on the above optimum conditions, 58 volatiles compounds, including 20 terpenes, 11 alkanes, 3 alcohols, 6 ketones, 3 esters, 11 aldehydes, 1 ether, 1 aromatic, 1 phenol, and 1 furan, were found and identified in SD. Furthermore, hierarchical cluster analysis and principal component analysis were successfully applied to distinguish the chemical constituents of SD from two regions. Additionally, anethol, zingerone, 2,4-di-tert-butylphenol, ledene, hexyl hexanoate, alpha-cadinol, phytone, hinesol, decanal, octadecene, cedren, 7-tetradecene, copaene, beta-humulene, 2-butyl-2-octenal, tetradecane, cedrol, calacorene, 6-dodecanone, beta-caryophyllene, 4-oxoisophorone, gamma-nonanolactone, 2-pentylfuran, 1,2-epoxyhexadecane, carvacrol, n-pentadecane, diisobutyl phthalate, farnesene, n-heptadecane, linalool, 1-octen-3-ol, phytane, and beta-asarone were selected as the potential markers for discriminating SD from 24 habitats in Zhejiang and Guizhou by partial least squares discrimination analysis (PLS-DA). This study revealed the differences in the components of SD from different regions, which could provide a reference for the future quality evaluation.

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