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Determination of Eucalyptus globulus wood extractives content by near infrared-based partial least squares regression models: comparison between extraction procedures
journal contribution
posted on 2023-05-17, 15:30 authored by Alves, AMM, Simoes, RFS, Santos, CA, Bradley PottsBradley Potts, Rodrigues, J, Schwanninger, MWood extractives, the non-cell wall components that can be removed by solvents, can play an important role in the protection of the living tree as well as derived wood products. On the other hand they can be detrimental for pulp and paper, paint and varnish films and adhesives. The objective of this work was to develop near infrared-based partial least squares regression models for the prediction of wood extractives. The developed models are well suited for screening of the ethanol and total extractives content of Eucalyptus globulus wood. The models for the prediction of ethanol extractives with residual prediction deviations above 5 are also suited for quality control. It is shown that samples with high extractives content always have a more intense OH combination band than the samples with low extractives content and that near infrared can be used for a rough estimation of the relative performance of the reference methods.
Funding
Australian Research Council
SeedEnergy Pty Ltd
Southern Tree Breeding Association
History
Publication title
Journal of Near Infrared SpectroscopyVolume
20Pagination
275-285ISSN
0967-0335Department/School
School of Natural SciencesPublisher
N I R PublicationsPlace of publication
6 Charlton Mill, Charlton, Chichester, England, West Sussex, Po18 0HyRepository Status
- Restricted