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Wood-water interactions in brown-rot decayed wood characterized by Low-Field Nuclear Magnetic Resonance (LFNMR)

Johansson, Sanne LU ; Engelund Thybring, Emil; Fredriksson, Maria LU and Thygesen, Lisbeth Garbrecht (2017) 13th annual meeting of the Northern European Network for Wood Science and Engineering (WSE2017)
Abstract
It is a trivial fact that water is needed for decay of wood by brown rot fungi, but when this is looked at in more detail, there are several fundamental questions concerning water and decay that are not solved. The purpose of this study is to study how the wood-water interaction is changed during degradation of brown-rot fungi of Norway spruce (Picea abies (L) Karst.) grown at two different parts of Sweden and if it is changed in a way that facilitates further decay. We use Low-Field Nuclear Magnetic Resonance (LFNMR) equipment to measure on water-saturated samples degraded by the brown-rot fungus Postia placenta and exposed to different moisture conditions. With the LFNMR technique, it is possible to distinguish between water in different... (More)
It is a trivial fact that water is needed for decay of wood by brown rot fungi, but when this is looked at in more detail, there are several fundamental questions concerning water and decay that are not solved. The purpose of this study is to study how the wood-water interaction is changed during degradation of brown-rot fungi of Norway spruce (Picea abies (L) Karst.) grown at two different parts of Sweden and if it is changed in a way that facilitates further decay. We use Low-Field Nuclear Magnetic Resonance (LFNMR) equipment to measure on water-saturated samples degraded by the brown-rot fungus Postia placenta and exposed to different moisture conditions. With the LFNMR technique, it is possible to distinguish between water in different physical and chemical environments (pore sizes, water-pore wall interactions) and it is therefore possible to study how wood-water interactions changes with different degree of degradation. This conference proceeding concerns part of a larger experiment which is not completely evaluated and only results from the NMR-study will be shown here. (Less)
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author
organization
publishing date
type
Contribution to conference
publication status
published
subject
keywords
Brown-rot, fungi, decay, wood, LFNMR
conference name
13th annual meeting of the Northern European Network for Wood Science and Engineering (WSE2017)
language
English
LU publication?
yes
id
f297e059-bd3c-403f-8e12-151a3da02e12
date added to LUP
2017-10-03 10:00:11
date last changed
2017-11-28 13:50:01
@misc{f297e059-bd3c-403f-8e12-151a3da02e12,
  abstract     = {It is a trivial fact that water is needed for decay of wood by brown rot fungi, but when this is looked at in more detail, there are several fundamental questions concerning water and decay that are not solved. The purpose of this study is to study how the wood-water interaction is changed during degradation of brown-rot fungi of Norway spruce (Picea abies (L) Karst.) grown at two different parts of Sweden and if it is changed in a way that facilitates further decay. We use Low-Field Nuclear Magnetic Resonance (LFNMR) equipment to measure on water-saturated samples degraded by the brown-rot fungus Postia placenta and exposed to different moisture conditions. With the LFNMR technique, it is possible to distinguish between water in different physical and chemical environments (pore sizes, water-pore wall interactions) and it is therefore possible to study how wood-water interactions changes with different degree of degradation. This conference proceeding concerns part of a larger experiment which is not completely evaluated and only results from the NMR-study will be shown here.},
  author       = {Johansson, Sanne and Engelund Thybring, Emil and Fredriksson, Maria and Thygesen, Lisbeth Garbrecht},
  keyword      = {Brown-rot,fungi,decay,wood,LFNMR},
  language     = {eng},
  title        = {Wood-water interactions in brown-rot decayed wood characterized by Low-Field Nuclear Magnetic Resonance (LFNMR)},
  year         = {2017},
}