摘要
目的:分析比较不同产地肉桂挥发性成分的组成。方法:采用顶空固相微萃取-气相色谱-质谱(HS-SPME-GC-MS)联用技术,对不同产地的肉桂中挥发性化学成分进行定性分析,以峰面积归一化法计算各组分的相对含量,并通过主成分分析和聚类分析对数据进行处理。结果:4个产地肉桂的总离子流图整体上相似,12个批次的样本在聚类和主成分空间中聚集成为不同的类别,基本实现不同产地肉桂的鉴别,此外,在一定程度上,样本分布疏密度反映样本的亲缘关系。结论:本实验方法稳定可靠,适用于肉桂挥发性成分的快速分析,可鉴别不同产地肉桂,并且能反映不同产地肉桂挥发性成分含量的差异,为肉桂的质量评价提供一定的科学依据。
Objective:To analyze the volatile components of Cinnamomi Cortex from different places of origin.Methods:The volatile constituents are extracted with HS-SPME and their content and names are confirmed by GC-MS.The data are handled through principal component analysis and cluster analysis.Results:Total ionic chromatogram of Cinnamomi Cortex from four areas are similar on the whole,the samples in the clustering and principal component space are grouped into different categories,in addition,the identification of Cinnamomi Cortex from different places of origin is realized basically.To a certain extent,the distribution density of samples reflects the phylogenetic relationship of samples.Conclusion:The method is reliable and stable,and it can be applied to the analysis of volatile components in Cinnamomi Cortex and the identification of Cinnamomi Cortex from different places of origin.It can reflect the differences of volatile components content of Cinnamomi Cortex from different places of origin;it will provide certain scientific basis for quality assessment of Cinnamomi Cortex.
出处
《中国调味品》
CAS
北大核心
2014年第12期113-117,128,共6页
China Condiment
关键词
肉桂
挥发性成分
固相微萃取
主成分分析
聚类分析
Cinnamomi Cortex
volatile components
HS-SPME
principal component analysis
cluster analysis