安徽农业科学2017,Vol.45Issue(1) :130-132.

湖南怀化产山苍子挥发油的GC-MS分析

Analysis of the Essential Oil in Listea cubeba from Huaihua District of Hunan Province by GC-MS

刘政 刘秀斌 郑亚杰 曾庆海 唐其
安徽农业科学2017,Vol.45Issue(1) :130-132.

湖南怀化产山苍子挥发油的GC-MS分析

Analysis of the Essential Oil in Listea cubeba from Huaihua District of Hunan Province by GC-MS

刘政 1刘秀斌 2郑亚杰 2曾庆海 3唐其2
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作者信息

  • 1. 湖南农业大学园艺园林学院,湖南长沙410128;河北定州中学,河北定州073000
  • 2. 湖南农业大学园艺园林学院,湖南长沙410128
  • 3. 辰溪天绿生态农业农民专业合作社,湖南怀化419500
  • 折叠

摘要

[目的]通过对山苍子挥发油和商品油的气相色谱-质谱(GC-MS)测定,对湖南省怀化地区产山苍子挥发油进行品质评价.[方法]建立了山苍子挥发油的GC-MS分析检测方法,通过NIST标准谱库检索进行定性分析.[结果]从山苍子挥发油中共检出29种挥发性成分,按峰面积归一化法对占总峰面积90%的挥发性成分进行定性分析,结合文献发现山苍子挥发油中的主要成分为α-柠檬醛、β-柠檬醛和D-柠檬烯,3种成分所占比例达65.95%,其次为β-月桂烯、芳樟醇、石竹烯、α-蒎烯和香茅醛等.商品油与挥发油的化学组成基本一致,差异主要在低含量和低沸点组分,提示不同生产工艺会对产品组成产生影响.[结论]该研究为湖南怀化产山苍子的资源状况评估以及山苍子油的质量评价提供依据.

Abstract

[Objective] To evaluate quality of essential oil in Listea cubeba from Huaihua District of Hunan Province by GC-MS.[Method]GC-MS method for evaluating quality of essential oil in Listea cubeba was established,qualitative analysis was conducted by NIST standard library searching.[Result] There were 29 volatile components in Listea cubeba essential oil,and by means of the area normalization,the components accounting for 90% of the sum of the total peak areas were assigned to the probable compound in the NTST library and the literature.The main volatile substances were α-citral,β-citral and D-limonene,which were the 65.95% of the sum peak areas,followed by β-myrcene,linalool,caryophyllene,α-pinene,citronellal and so on.The practical volatile oil had the similar chromatogram to that of the oil from laboratory,and the difference between them was in low content and low boiling point components,indicating the quality of oil was affected by the production process.[Conclusion] The results can provide basis for evaluating Listea cubeba resource and quality of its essential oil in Huaihua District of Hunan Province.

关键词

山苍子/挥发油/GC-MS/怀化

Key words

Listea cubeba/Essential oil/GC-MS/Huaihua

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基金项目

湖南省科技计划项目(2014SK2005)

出版年

2017
安徽农业科学
安徽省农业科学院

安徽农业科学

影响因子:0.413
ISSN:0517-6611
被引量5
参考文献量5
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