Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Multivariate modeling of mould growth in relation to extractives in dried Scots pine sapwood
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Wood Science and Engineering.
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: 0000-0002-3544-8716
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Wood Science and Engineering.
Show others and affiliations
2017 (English)In: Proceedings IRG Annual Meetin, 2017, 17-20629Conference paper, Poster (Refereed)
Abstract [en]

Influence of extractives on mould growth on Scots pine sapwood dried in air or in kiln was studied. Boards were sprayed with water mixtures of spores of the fungal species Penicillium sp., Aspergillus sp., Mucor sp., Paecilomyces sp., Trichoderma sp., treated at a temperature of 22ºC at 90% RH, classified into a percentage of covered area. Acetone and water extracts were isolated and analyzed for sugars, nitrogen, ash, resin/fatty acids, glycerol, and phenols. A multivariate Orthogonal Partial Least Squares (OPLS) regression model was developed to study relations between the extent of mould coverage of boards and chemical content. The model describes 51% variability in X and 69% in Y with prediction power of 55%. The results indicated that total acetone soluble extractives and sugars like glucose contributed to increased mould growth whereas fatty acids prevent mould growth.

Place, publisher, year, edition, pages
2017. 17-20629
Keyword [en]
Multivariate analysis, sapwood, fungi
National Category
Materials Engineering Other Mechanical Engineering
Research subject
Wood Science and Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-63985OAI: oai:DiVA.org:ltu-63985DiVA: diva2:1109400
Conference
48th Conference of the International Research Group on Wood Protection, IRG48, Ghent, Belgium, 4-8 Jun 2017
Available from: 2017-06-14 Created: 2017-06-14 Last updated: 2017-06-14Bibliographically approved

Open Access in DiVA

IRG/WP 17-20629(557 kB)35 downloads
File information
File name FULLTEXT01.pdfFile size 557 kBChecksum SHA-512
a9ae430fe3ebab24963b460c1a94bb0ec49d35ae6bb79c294dc41c24fb9918cf24b09066ee6a0f5eddc2fd54486c4fb6ed96c2db55b09ff181856836effe4aee
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Karlsson, OlovMyronycheva, OlenaSehlstedt-Persson, MargotÖhman, MicaelSandberg, Dick
By organisation
Wood Science and Engineering
Materials EngineeringOther Mechanical Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 35 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 112 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf