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Prediction of thermo mechanical pulp brightness using NIR spectroscopy on wood raw material
Umeå University, Faculty of Science and Technology, Department of Chemistry.
Umeå University, Faculty of Science and Technology, Department of Chemistry.
Umeå University, Faculty of Science and Technology, Department of Chemistry.
2005 (English)In: Paperi ja puu, ISSN 0031-1243, Vol. 87, no 2, 102-109 p.Article in journal (Refereed) Published
Abstract [en]

Partial Least Squares regression to latent structures was used to find a correlation between near-infrared reflectance spectra of samples of milled Norway Spruce (Picea abies) and ISO brightness of bleached thermo mechanical pulp. Logs of spruce were stored in climate chambers with different conditions for 14 weeks. A factorial design based on five variables was constructed to control the storage and to provide different brightness properties of the stored spruce logs. Wood samples were collected during the storage and they were analysed with near-infrared reflectance spectroscopy and later refined to thermo mechanical pulp. The pulp was bleached with both hydrogen peroxide and sodium dithionite. The ISO brightness of the bleached pulp was correlated to the near-infrared spectra of the untreated samples using Partial Least Squares regression to latent structures. The modelling showed that it is possible to predict the ISO brightness of bleached thermo mechanical pulp from near-infrared spectra of original wood raw material.

Place, publisher, year, edition, pages
Helsinki: Suomen Paperi- ja Puutavaralehti Oy , 2005. Vol. 87, no 2, 102-109 p.
Keyword [en]
near-infrared, spectroscopy, principal component analysis, partial least squares regression to latent variables, thermo mechanical pulp, ISO brightness
National Category
Chemical Sciences
Identifiers
URN: urn:nbn:se:umu:diva-13237OAI: oai:DiVA.org:umu-13237DiVA: diva2:152908
Available from: 2007-05-07 Created: 2007-05-07 Last updated: 2017-12-14Bibliographically approved
In thesis
1. Prediction of wood species and pulp brightness from roundwood measurements
Open this publication in new window or tab >>Prediction of wood species and pulp brightness from roundwood measurements
2005 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This thesis presents a number of studies, where a multivariate approach was taken to construct models that predict wood species and thermo mechanical pulp brightness from roundwood of Norway spruce and Scots pine. The first and second studies produced multivariate prediction models for wood species from the bark of spruce and pine. These models can be used for wood species classification and would replace the manual log assessment that takes place today. Principal Component Analysis, PCA, and Partial least squares projections to Latent Structures, PLS, were used to predict the wood species from multivariate measurements recorded from the bark of spruce and pine. Two different kinds of measurements were employed, near-infrared spectroscopy and digital imaging. Both methods showed that it was possible to predict the wood species with a high accuracy.

The third and fourth studies of the thesis are related to the wood storage of roundwood and the deterioration of wood that occurs during the storage. The third study used an experimental design with five storage factors that provided different conditions for the analysed wood. The experimental design made it possible to identify the factors and the interaction between factors, which were important for the ISO brightness of peroxide and dithionite bleached thermo mechanical pulp, TMP. The final study of the thesis used NIR spectroscopy for predicting the ISO brightness of bleached TMP. Spectra recorded from stored wood were used to construct PLS prediction models.

Place, publisher, year, edition, pages
Umeå: Kemi, 2005. 72 p.
Keyword
Design of Experiments, ISO brightness, Multivariate Image Analysis, Multivariate Modelling, NIR spectroscopy, Norway spruce, PCA, PLS, Roundwood, Scots pine
National Category
Organic Chemistry
Identifiers
urn:nbn:se:umu:diva-605 (URN)91-7305-959-9 (ISBN)
Public defence
2005-10-28, KB3A9, KBC, Umeå Universitet, SE-90187, Umeå, 10:00 (English)
Opponent
Supervisors
Available from: 2005-10-06 Created: 2005-10-06 Last updated: 2011-03-17Bibliographically approved

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