Journal
CELLULOSE
Volume 21, Issue 1, Pages 261-273Publisher
SPRINGER
DOI: 10.1007/s10570-013-0093-2
Keywords
Plant taxonomy classification; Fagales; Malpighiales; Infrared spectroscopy; Multivariate analysis; Wood
Funding
- Europracticum IV (Leonardo da Vinci Programme)
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Fourier transform infrared (FTIR) spectroscopic data was used to classify wood samples from nine species within the Fagales and Malpighiales using a range of multivariate statistical methods. Taxonomic classification of the family Fagaceae and Betulaceae from Angiosperm Phylogenetic System Classification (APG II System) was successfully performed using supervised pattern recognition techniques. A methodology for wood sample discrimination was developed using both sapwood and heartwood samples. Ten and eight biomarkers emerged from the dataset to discriminate order and family, respectively. In the species studied FTIR in combination with multivariate analysis highlighted significant chemical differences in hemicelluloses, cellulose and guaiacyl (lignin) and shows promise as a suitable approach for wood sample classification.
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