南京林业大学学报(自然科学版) ›› 2010, Vol. 34 ›› Issue (01): 48-52.doi: 10.3969/j.jssn.1000-2006.2010.01.011

• 研究论文 • 上一篇    下一篇

南京紫金山主要植物挥发物成分与含量分析

梁珍海,刘海燕,周玉开,陈霞,关庆伟*,薛建辉   

  1. 南京林业大学森林资源与环境学院,江苏南京210037)
  • 出版日期:2010-02-09 发布日期:2010-02-09
  • 基金资助:
    收稿日期:2009-03-29修回日期:2009-08-27基金项目:“十一五”国家科技支撑计划(2006BAD03A0602)作者简介:梁珍海(1965—),博士。*关庆伟(通信作者),教授。Email: guanjapan999@yahoo.com.cn。引文格式:梁珍海,刘海燕,周玉开,等. 南京紫金山主要植物挥发物成分与含量分析[J]. 南京林业大学学报:自然科学版,2010,34(1):48-52.

Analysis of ingredients and contents of volatile organic compounds from main plants in Nanjing Zijin Mountain

LIANG Zhenhai, LIU Haiyan, ZHOU Yukai, CHEN Xia, GUAN Qingwei*, XUE Jianhui   

  1. College of Forest Resources and Environment, Nanjing Forestry University, Nanjing 210037, China
  • Online:2010-02-09 Published:2010-02-09

摘要: 用气相色谱/质谱联用技术对南京市紫金山24种植物挥发性物质的化学组成进行了测定和分析。结果表明:24种植物中共检测出萜烯类、醇类、酮类、醛类、酯类、醚类、酚类及烷烃类等8类165种化学成分,其中,以萜烯和醇类为主。萜烯类物质相对含量最高的是白玉兰,其含量占挥发性物质总量的71.99 %;其次是扶芳藤(66.56 %)、青桐(50.30 %)及冬青(8.14 %)。醇类物质相对含量最高的是冬青,其含量占挥发性物质总量78.53 %;其次是黄连木(72.99 %)、荚蒾(66.69 %)、枫香(58.81 %)、麻栎(56.10 %)、香樟(54.46 %)及白玉兰(7.48 %)。

Abstract: The ingredients and their contents of volatile organic compounds from 24 tree species in Nanjing Zijing Mountain were analyzed with GCMS. The results showed that 165 compounds were determined in the 24 sorts of plants, and they composed terpenes, alcohols, ketones, aldehydes, esters, ethers, phenols and alkanes. The main volatile organic compounds in the tested plants were the terpenes and the alcohols. The terpenes content in Magnolia denudata was the highest accounted for 71.99 % of total volatile organic compounds. The next was Euonvmus fortunei (66.56 %), Firmiana simplex (50.30 %) and Ilex purpurea (8.14 %). The alcohols content of Ilex purpurea was the highest, its content accounts for the volatile organic compounds total quantity’s 78.53 %; The next was Pistacia chinensis(72.99 %), Viburnum dilatatum(66.69 %), Liquidambar formosana(58.81 %), Quercus acutissima(56.10 %), Cinnamomum camphora(54.46 %), M.grandiflora(7.48 %). The results could provide identification for the choice of plants in scenic forest.

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