Hiltunen, S., Mankinen, A., Javed, M., Ahola, S., Venäläinen, M., & Telkki, V. (2020). Characterization of the decay process of Scots pine caused by Coniophora puteana using NMR and MRI, Holzforschung, 74(11), 1021-1032. doi: https://doi.org/10.1515/hf-2019-0246
Characterization of the decay process of Scots pine caused by Coniophora puteana using NMR and MRI
|Author:||Hiltunen, Sami1; Mankinen, Arttu1; Javed, Muhammad Asadullah1;|
1NMR Research Unit, Faculty of Science, University of Oulu, P.O. Box 3000, FI-90014 Oulu, Finland
2Natural Resources Institute Finland (Luke), Vipusenkuja 5, FI-57200 Savonlinna, Finland
|Online Access:||PDF Full Text (PDF, 4.8 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2020102787870
|Publish Date:|| 2020-10-27
Wood decay is an economically significant process, as it is one of the major causes of wood deterioration in buildings. In this study, the decay process of Scots pine (Pinus sylvestris) samples caused by cellar fungus (Coniophora puteana) was followed by nuclear magnetic resonance (NMR) spectroscopy and magnetic resonance imaging (MRI) methods. Altogether, 30 wood sample pieces were exposed to fungus for 10 weeks. Based on the decrease of the dry mass, the samples were categorized into three classes: decomposed (mass decrease 50–70%), slightly decomposed (10–50%), and nondecomposed (<10%). MRI made it possible to identify the active regions of fungus inside the wood samples based on the signal of free water brought by the fungus and arisen from the decomposition of wood carbohydrates. MRI implies that free water is not only created by the decay process, but fungal hyphae also transports a significant amount of water into the sample. Two-dimensional ¹H T₁-T₂ relaxation correlation NMR measurements provided detailed information about the changes in the microstructure of wood due to fungal decomposition. Overall, this study paves the way for noninvasive NMR and MRI detection of fungal decay at early stages as well as the related structural changes.
|Pages:||1021 - 1032|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
114 Physical sciences
116 Chemical sciences
We acknowledge the financial support of the European Research Council (ERC) under Horizon 2020 (H2020/2018-2022/ERC grant agreement no. 772110, Funder Id: http://dx.doi.org/10.13039/100010663), Academy of Finland (grants. 289649, 294027, and 319216, Funder Id: http://dx.doi.org/10.13039/501100002341), and the Kvantum Institute (University of Oulu).
|EU Grant Number:||
(772110) UFLNMR - Ultrafast Laplace NMR
|Academy of Finland Grant Number:||
289649 (Academy of Finland Funding decision)
294027 (Academy of Finland Funding decision)
319216 (Academy of Finland Funding decision)
© 2020 Ville-Veikko Telkki et al., published by De Gruyter, Berlin/Boston. This work is licensed under the Creative Commons Attribution 4.0 International License. BY 4.0.