IRG Documents Database and Compendium


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Your search resulted in 229 documents. Displaying 25 entries per page.


Screening of fungi capable of degradation of β-aryl ether bond from lignin model compounds by using highly fluorescent-emitting detection
2025 - IRG/WP 25-11081
Lignin is an aromatic polymer and composed of phenylpropane units polymerized by dehydrogenases in cell walls. Lignin has a complex chemical structure with C-C and C-O-C bonds, and it is difficult to decompose lignin structure by microorganisms in natural conditions. For the microbial degradation of lignin structure, wood decay fungi can non-specifically degrade the lignin polymeric structure by o...
A Ishikawa, Y Mori, Y Ota, M Kiguchi


A Case Study of Vogvarjeva hiša, a Local Ethnographic Museum
2025 - IRG/WP 25-41027
The Vogvarjeva hiša in Spodnje Duplje, Slovenia, is an example of traditional 18th Century wooden architecture and an important element of the region’s cultural heritage. The building was constructed from local timber on stone foundations and reflects the traditional rural building techniques of the Gorenjska region. Since it was declared a cultural monument in 1985, it has functioned as an eth...
D Kržišnik, L Kopač, D Jones, M Humar


Non-destructive methods for field assessment of wood biodeterioration in hardwood trailer decks exposed to tropical environments
2025 - IRG/WP 25-41039
Apitong (Dipterocarpus spp.), an increasingly rare tropical hardwood from the rainforest in Southeast Asia, has long been used as decking materials for open-bed trailers and trucks across North America. As the natural population of Apitong trees steadily declines, there is an urgent need to find sustainable, domestically sourced alternatives for trailer decking. A recent project evaluated the perf...
X Wang, X Xie, G Kirker, C A Senalik


Development of an Early Degradation Diagnosis Technology for Wood Coatings Using Mid-Infrared Spectroscopy and Machine Learning
2025 - IRG/WP 25-41047
Accurately predicting the degradation state of wood coatings is challenging, and as the coating deteriorates, it becomes a major factor accelerating the degradation of the wood itself. In this study, we aimed to develop a diagnostic technology that combines mid-infrared spectroscopy and machine learning to assess latent coating degradation, which cannot be detected visually, and to enable appropri...
K Nishimura, T Ito, S Isaji, T Takano, H Ohki, Y Teramoto


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