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Hyperspectral Imaging Surface Analysis for Dried and Thermally Modified Wood: An Exploratory Study
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Wood Science and Engineering.ORCID iD: 0000-0001-7864-8091
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Wood Science and Engineering.ORCID iD: 0000-0002-7711-9267
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Wood Science and Engineering.ORCID iD: 0000-0002-3544-8716
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Wood Science and Engineering.ORCID iD: 0000-0001-8404-7356
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2018 (English)In: Journal of Spectroscopy, ISSN 2314-4920, E-ISSN 2314-4939, article id 7423501Article in journal (Refereed) Published
Abstract [en]

Naturally seasoned, kiln-dried, and thermally modified wood has been studied by hyperspectral near-infrared imaging between 980 and 2500 nm in order to obtain spatial chemical information. Evince software was used to explore, preprocess, and analyse spectral data from image pixels and link these data to chemical information via spectral wavelength assignment. A PCA model showed that regions with high absorbance were related to extractives with phenolic groups and aliphatic hydrocarbons. The sharp wavelength band at 2135 nm was found by multivariate analysis to be useful for multivariate calibration. This peak represents the largest variation that characterizes the knot area and can be related to areas in wood rich in hydrocarbons and phenol, and it can perhaps be used for future calibration of other wood surfaces. The discriminant analysis of thermally treated wood showed the strongest differentiation between the planed and rip-cut wood surfaces and a fairly clear discrimination between the two thermal processes. The wavelength band at 2100 nm showed the greatest difference and may correspond to stretching of C=O-O of polymeric acetyl groups, but this requires confirmation by chemical analysis.

Place, publisher, year, edition, pages
Hindawi Publishing Corporation, 2018. article id 7423501
National Category
Wood Science
Research subject
Wood Science and Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-71584DOI: 10.1155/2018/7423501Scopus ID: 2-s2.0-85057402277OAI: oai:DiVA.org:ltu-71584DiVA, id: diva2:1263281
Note

Validerad;2018;Nivå 2;2018-11-20 (svasva)

Available from: 2018-11-14 Created: 2018-11-14 Last updated: 2019-06-14Bibliographically approved
In thesis
1. Characterization of Mould Fungi Growth on Scots Pine Sapwood Surfaces
Open this publication in new window or tab >>Characterization of Mould Fungi Growth on Scots Pine Sapwood Surfaces
2019 (English)Licentiate thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Luleå: Luleå tekniska universitet, 2019
National Category
Wood Science Other Mechanical Engineering
Research subject
Wood Science and Engineering
Identifiers
urn:nbn:se:ltu:diva-73793 (URN)978-91-7790-380-2 (ISBN)978-91-7790-381-9 (ISBN)
Presentation
2019-06-12, A193, Forskargatan 1, Skellefteå, 09:00 (English)
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Supervisors
Available from: 2019-05-02 Created: 2019-04-30 Last updated: 2019-06-14Bibliographically approved

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01010dee8f7bf09b431b4f57df3b4754ad5769c21f0ed1d7ccc700052bf6325e9ff4d6dded4790deb108c2cee3528f7fc152be8511fe4595563dcd8f3116bfc2
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Publisher's full textScopushttps://www.hindawi.com/journals/jspec/2018/7423501/

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Myronycheva, OlenaKarlsson, OlovSehlstedt-Persson, MargotHagman, OlleSidorova, EkaterinaSandberg, Dick

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