Metabolic Profiling of Chinese Tobacco Leaf of Different Geographical Origins by GC-MS
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- 作者：Li Zhang ; Xiaoyu Wang ; Jizhao Guo ; Qiaoling Xia ; Ge Zhao ; Huina Zhou ; Fuwei Xie
- 刊名：Journal of Agricultural and Food Chemistry
- 出版年：2013
- 出版时间：March 20, 2013
- 年：2013
- 卷：61
- 期：11
- 页码：2597-2605
- 全文大小：404K
- 年卷期：v.61,no.11(March 20, 2013)
- ISSN：1520-5118
文摘
Tobacco leaf obtained from different geographical areas in China was profiled using gas chromatography鈥搈ass spectrometry (GC-MS) coupled with multivariate data analyses. Hierarchical cluster analysis (HCA) and principal component analysis (PCA) showed that the tobacco metabolome was clearly dependent on geographical origins; climatic conditions, such as temperature and precipitation, imposed a greater impact on metabolite levels than the cultivars. By orthogonal partial least-squares-discrimination analysis (OPLS-DA), 20 metabolites that contributed to the discrimination were screened, including primary metabolites (sucrose, d-fructose, d-mannose, d-glucose, inositol, maleic acid, citric acid, malic acid, l-threonic acid, l-proline, l-phenylalanine), secondary metabolites (chlorogenic acid, 伪- and 尾-4,8,13-duvatriene-1,3-diol, nicotine, quinic acid), and four unknown metabolites. The results suggest that metabolic profiling using GC-MS combined with multivariate analysis can be used to discriminate tobacco leaf of different geographical origins and to provide potential indicators of tobacco origins.