CHEMOMETRIC ANALYSIS OF GAS-CHROMATOGRAPHIC DATA OF OILS FROM EUCALYPTUS SPECIES

Citation
Pj. Dunlop et al., CHEMOMETRIC ANALYSIS OF GAS-CHROMATOGRAPHIC DATA OF OILS FROM EUCALYPTUS SPECIES, Chemometrics and intelligent laboratory systems, 30(1), 1995, pp. 59-67
Citations number
15
Categorie Soggetti
Computer Application, Chemistry & Engineering","Instument & Instrumentation","Chemistry Analytical","Computer Science Artificial Intelligence","Robotics & Automatic Control
ISSN journal
01697439
Volume
30
Issue
1
Year of publication
1995
Pages
59 - 67
Database
ISI
SICI code
0169-7439(1995)30:1<59:CAOGDO>2.0.ZU;2-9
Abstract
Gas chromatograms (GCs) of oil extracted from Eucalyptus species have been compared using principal components analysis (PCA), linear discri minant analysis (LDA), and the Tanimoto distance in which the number o f similar peaks between two species are determined. Two systems were s tudied, a number of examples of E. camaldulensis Dehnh. (River Red Gum ) and clones of that species, and samples from two trees E. woodwardii Maiden and E. torquata Luehm. and a number of their hybrids (E. torwo odii).The PCA revealed natural groupings of E. camaldulensis clones an d showed, via loading plots, that eight intensities of the 180 times s tudied were sufficient to explain most of the variance and characteris e each tree. The chemical species were identified by GC-mass spectrome try as alpha-pinene, 1,8-cineole, p-cymene, terpinen-4-ol/aromadendren e, cryptone, borneol, spathulenol, and torquatone. Each hybrid (E. tor wood) of the trees E. woodwardii and E. torquata has a distribution of oils that lies between those of the parents. LDA was able to define t wo distinct groups and performed better than the Tanimoto distance in classifying the trees.