Analysis of Essential Oils from Cassia Bark and Cassia Twig Samples by GC-MS Combined with Multivariate Data Analysis

作者：Deng, Xuejiao; Liao, Qiongfeng; Xu, Xinjun; Yao, Meicun; Zhou, Yuting; Lin, Manna; Zhang, Peiting; Xie, Zhiyong^*

来源：Food Analytical Methods, 2014, 7(9): 1840-1847.

DOI：10.1007/s12161-014-9821-y

• Essential oils
• Cassia bark
• Cassia twig
• GC-MS
• Multivariate statistical analysis

Cinnamomum cassia is one of several species of Cinnamomum which has been widely used as a spice. In this study, the chemical profiles of its bark and twig were characterized by gas chromatography-mass spectrometry (GC-MS) and multivariate data analysis. Principle component analysis (PCA) and orthogonal projection to latent structures discriminate analysis (OPLS-DA) of GC-MS data provided a clear separation between those samples. The result obviously showed that the metabolome of cinnamon bark (CB) and cinnamon twig (CT) is different, and the corresponding loading S-plots revealed that the differential metabolites between the essential oils of CB and CT were trans-cinnamaldehyde, trans-anethole, alpha-cubebene, gamma-muurolene, gamma-amorphene, delta-cadinene, (-)-calamenene, and o-methoxycinnamaldehyde. Our study demonstrates that the combination of GC-MS spectrum and multivariate data analysis can be applied to identify essential oils from different parts of C. cassia.

• 出版日期2014-10
• 单位广州中医药大学; 中山大学