Analysis o
f biogenic volatile organic compounds (BVOC) o
f 14
Eucalyptus clones has been per
formedusing an automated headspace solid-phase microextraction (HS-SPME) coupled to gas chromatography (GC)/ion trap mass spectrometry (ITMS) method. Correlations between pulp properties o
fEucalyptus clones and the BVOC o
f their lea
f headspaces were studied. The compounds
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fchars/alpha.gi
f" BOR
DER=0>-terpineoland the sesquiterpene
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fchars/beta2.gi
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desmol were positively correlated with S5, a property related to thehemicelluose content in the pulp. Qualitative results obtained with automated HS-SPME were su
fficientto group together the same species and related hybrids through cluster analysis and were con
firmedthrough principal component analysis. A preliminary separation o
f the essential oils o
f Eucalyptusdunnii through comprehensive two-dimensional gas chromatography (GC × GC) showed ~580 peakscompared to ~60 in a typical GC/ITMS
first-dimension chromatogram. The potential o
f HS-SPMEcoupled to GC × GC to improve the separation o
f Eucalyptus volatiles and other plant essential oilslooks extremely promising
for new applications o
f unsupervised learning methods.Keywords: Automated solid-phase microextraction (SPME);
Eucalyptus; biogenic volatile organiccompounds (BVOC)' principal component analysis (PCA); cluster analysis (CA); pulp properties