不同化学型樟树叶挥发性成分组成的多变量分析

doi:10.3724/SP.J.1259.2014.00161

植物学报 ›› 2014, Vol. 49 ›› Issue (2): 161-166.DOI: 10.3724/SP.J.1259.2014.00161 cstr: 32102.14.SP.J.1259.2014.00161

不同化学型樟树叶挥发性成分组成的多变量分析

刘星星^1,2, 张茜^1,2, 郭夏丽^1,2, 龚上佶^1,2, 江香梅³, 付宇新³, 罗丽萍^1,2*

¹南昌大学生命科学与食品工程学院, 南昌 330031;
²江西省植物资源重点实验室, 南昌 330031
³江西省林业科学研究院, 南昌 330013

收稿日期:2013-06-14 修回日期:2013-10-29 出版日期:2014-03-01 发布日期:2014-01-07
通讯作者: 罗丽萍
基金资助:
江西省科技厅重大项目

Multivariate Analyses of Volatile Chemical Composition in Leaves of Different Cinnamomum camphora Chemotypes

Xingxing Liu^1,2, Xi Zhang^1,2, Xiali Guo^1,2, Shangji Gong^1,2, Xiangmei Jiang³, Yuxin Fu³, Liping Luo^1,2*

¹College of Life Science and Food Engineering, Nanchang University, Nanchang 330031, China

²Key Laboratory of Plant Resources in Jiangxi Province, Nanchang 330031, China

³Academy of Forestry in Jiangxi Province, Nanchang 330013, China

Received:2013-06-14 Revised:2013-10-29 Online:2014-03-01 Published:2014-01-07
Contact: Liping Luo

摘要/Abstract

摘要： 为明确不同化学型樟树(Cinnamomum camphora)叶挥发性成分的异同, 以5种不同樟树叶的25个样本为实验材料, 采用静态顶空-气相色谱-质谱联用法(SHS-GC-MS)研究了其挥发性成分组成, 并运用主成分分析(PCA)、聚类分析(CA)和判别分析(DA)等对不同化学型樟树叶挥发性成分组成进行了多变量分析。研究结果表明, 不同化学型樟树叶的挥发性成分共有8种: β-芳樟醇、莰烯、β-愈创木烯、γ-松油烯、α-侧柏烯、2-乙基呋喃、α-石竹烯和大牛儿烯; 不同化学型樟树叶的挥发性化合物种类和含量存在显著差异。检测出的平均化合物数量分别为52(异樟)、40(脑樟)、37(油樟)、34(芳樟)和33(龙脑樟)。主成分分析提取了3个主成分因子, 累计贡献率达到86.40%。聚类分析和判别分析结果表明, 其中的12种挥发性成分能够对5种化学型樟树进行较好的区分, 准确率分别为96%和100%。实验结果说明, 这12种挥发性成分可以较好地用于樟树化学型分类。

关键词: 樟树, 化学型, 静态顶空-气相色谱-质谱, 多变量分析法

Abstract: We detected the chemical composition of volatiles in 25 leaf samples of 5 chemotypes of Cinnamomum camphora by static headspace-gas chromatography-mass spectrometry. Multivariate analysis, including principal component analysis (PCA), cluster analysis (CA), and linear discriminant analysis (DA), was used to reveal the relationship of chemical composition of volatiles in the 25 samples. We found 8 compounds in all samples: β-linalool, camphene, β-guaiene, γ-terpinene, α-thujene, 2-ethylfuran, α-caryophyllene and D-germacrene. The leaves of 5 chemotypes significantly differed in chemical composition and content of volatiles. The mean number of detected compounds was 52 (isoborneol-type), 40 (camphora-type), 37 (cineole-type), 34 (linalool-type) and 33 (borneol-type). Three principal components were formed, and their total accounted for 86.4% of the total variation. The results of CA and DA analyses showed that 12 volatiles are important discriminating variables to identify 5 chemotypes of C. camphora leaves. The accuracy rate of CA and DA analyses was 96% and 100%, respectively. These 12 volatile compounds can be used to classify chemotypes of C. camphora.

Key words: Cinnamomum camphora, Chemotype, static headspace-gas chromatography-mass spectrometry, multivariate analysis

刘星星, 张茜, 郭夏丽, 龚上佶, 江香梅, 付宇新, 罗丽萍. 不同化学型樟树叶挥发性成分组成的多变量分析. 植物学报, 2014, 49(2): 161-166.

Xingxing Liu, Xi Zhang, Xiali Guo, Shangji Gong, Xiangmei Jiang, Yuxin Fu, Liping Luo. Multivariate Analyses of Volatile Chemical Composition in Leaves of Different Cinnamomum camphora Chemotypes. Chinese Bulletin of Botany, 2014, 49(2): 161-166.

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不同化学型樟树叶挥发性成分组成的多变量分析

Multivariate Analyses of Volatile Chemical Composition in Leaves of Different Cinnamomum camphora Chemotypes

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