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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, M
Wood 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 Spectroscopy

Volume

20

Pagination

275-285

ISSN

0967-0335

Department/School

School of Natural Sciences

Publisher

N I R Publications

Place of publication

6 Charlton Mill, Charlton, Chichester, England, West Sussex, Po18 0Hy

Repository Status

  • Restricted

Socio-economic Objectives

Hardwood plantations

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    University Of Tasmania

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