HS-SPME-GC-MS和主成分分析红车轴草不同部位挥发油成分

何春兰; 张刚平; 王如意; 周平

doi:10.13422/j.cnki.syfjx.2018050071

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HS-SPME-GC-MS和主成分分析红车轴草不同部位挥发油成分

化学与分析 | 更新时间：2024-01-04

- HS-SPME-GC-MS和主成分分析红车轴草不同部位挥发油成分
- Volatile Oil Compounds in Different Parts of Based on HS-SPME-GC-MS and Principal Component Analysis
- 中国实验方剂学杂志 2018年24卷第5期页码：71-81
- 作者机构：
- 作者简介：
- 基金信息：
  
  广东省医学科学技术研究基金项目（B2017035）;广东省中医药局科研项目（20171038）;广东食品药品职业学院自然科学研究项目（2016YZ032）;广东大学生创新创业训练计划项目（2017DC08）
- DOI：10.13422/j.cnki.syfjx.2018050071
  中图分类号： R284.1
- 纸质出版日期：2018
- 稿件说明：
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何春兰, 张刚平, 王如意, 等. HS-SPME-GC-MS和主成分分析红车轴草不同部位挥发油成分[J]. 中国实验方剂学杂志, 2018,24(5):71-81.

HE Chun-lan, ZHANG Gang-ping, WANG Ru-yi, et al. Volatile Oil Compounds in Different Parts of Based on HS-SPME-GC-MS and Principal Component Analysis[J]. Chinese journal of experimental traditional medical formulae, 2018, 24(5): 71-81.
何春兰, 张刚平, 王如意, 等. HS-SPME-GC-MS和主成分分析红车轴草不同部位挥发油成分[J]. 中国实验方剂学杂志, 2018,24(5):71-81. DOI： 10.13422/j.cnki.syfjx.2018050071.

HE Chun-lan, ZHANG Gang-ping, WANG Ru-yi, et al. Volatile Oil Compounds in Different Parts of Based on HS-SPME-GC-MS and Principal Component Analysis[J]. Chinese journal of experimental traditional medical formulae, 2018, 24(5): 71-81. DOI： 10.13422/j.cnki.syfjx.2018050071.

摘要

目的：分析红车轴草不同部位挥发油成分差异。方法：采用顶空固相微萃取法萃取红车轴草挥发油成分，结合气相色谱质谱联用法分析其组成，面积归一化法计算各成分的相对含量，主成分分析挥发油成分。结果：红车轴草茎、叶和花共鉴定出155种化合物，包括烃类55种、醇类29种、酮类23种、酯类13种、醛类21种、酸类2种、酚类3种、杂环及其他类化合物9种。茎鉴定出95种化合物，占挥发性成分的94.15%，主要含有35种烃类（39.14%），18种醇类（10.86%），16种酮类（19.61%），6种酯类（4.06%），11种醛类（7.48%）；叶鉴定出89种化合物，占挥发性成分的95.17%，主要含有37种烃类（41.58%），16种醇类（14.88%），12种酮类（18.18%），3种酯类（9.27%），14种醛类（4.69%）；花鉴定出78种化合物，占挥发性成分的91.66%，主要含有28种烃类（45.24%），12种醇类（4.81%），10种酮类（11.57%），8种酯类（6.65%），11种醛类（9.24%）。茎、叶和花3个样品获得的挥发油成分总峰面积分别为0.56×109，1.14×109，0.55×109，叶中挥发油具有最大的峰面积。3个部位样品中共有成分为41种，但茎、叶和花含有特有成分分别为29，41，14种。2个主成分可代表3个样品的155种挥发油成分，样品之间的主成分分析综合评分具有较大差异，叶样品的综合评分最高。结论：红车轴草茎、叶和花挥发油成分种类和含量存在较大的差异。

Abstract

Objective:To analyze the differences of volatile components in various parts of Trifolium pratense. Method:The volatile oils were extracted by the method of headspace solid phase micro-extraction. The chemical components were determined by GC-MS

quantified by the area normalization method

and analyzed by the principal component analysis. Result:Totally 155 volatile oil compounds were identified from stems

leaves and flowers of T. pretense

including 55 hydrocarbons

29 alcohols

23 ketones

13 esters

21 aldehydes

2 acids

3 phenols

and 9 heterocyclic and other compounds. Totally 95 compounds were identified from stems

accounting for 94.15% of volatile components

mainly containing 35 kinds of hydrocarbons (39.14%)

18 alcohols (10.86%)

16 ketones (19.61%)

6 esters (4.06%) and 11 aldehydes (7.48%). Totally 89 compounds were identified from leaves

taking up 95.17% of volatile components

mainly containing 37 kinds of hydrocarbons (41.58%)

16 alcohols (14.88%)

12 ketones (18.18%)

3 esters (9.27%) and 14 aldehydes (4.69%). Totally 78 compounds were identified from flowers

occupying 91.66% of volatile components

mainly containing 28 kinds of hydrocarbons (45.24%)

12 alcohols (4.81%)

10 ketones (11.57%)

8 esters (6.65%) and 11 aldehydes (9.24%). The total peak areas of volatile oil obtained from the 3 samples of stems

leaves and flowers were respectively 0.56×109

1.14×109 and 0.55×109

with the largest total peak area in volatile oil of leaves. There were 41 constituents in 3 parts in total; stems

leaves and flowers contained 29

41 and 14 specific components

respectively. The 2 principal components could represent 155 kinds of volatile oil components of the 3 samples. The principal component analysis showed great differences among the samples

with the highest comprehensive score for leaves samples. Conclusion:There are great differences between species and content of volatile oil from stems

leaves and flowers of T. pratense.

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