The composition of the volatile terpenes emitted by different trees has been successfully used as markers in a wide variety of studies such as chemotaxonomy. In this work discrimination among ten pine species, P. pinea, P. pinaster, P. brutia, P. elliottii, P. halepensis, P. kesiya, P. radiata, P. patula, P. sylvestris, and P. taeda was achieved by analyzing the relative composition of their volatile emissions. The analysis was performed after simultaneous distillation extraction; 16 monoterpenes were identified. My means of principal component analysis it was shown that discrimination among species could be maximized by taking into account three monoterpenes only - α-pinene, β-pinene, and limonene. In a second stage of the work the extracts were submitted to enantiomer-selective multidimensional gas chromatography (MDGC). The enantiomer ratio was determined after separation on a tailor-made 2,3-dimethyl-6-O-tert-butyldimethylsilyl-β-cyclodextrin analytical column. Application of principal component analysis to the samples enabled their comparative characterization.
- Gas chromatography
- Hierarchical clustering