Application of GRAS Compounds for the Control of Mould Growth on Scots Pine Sapwood Surfaces

Multivariate Modelling of Mould Grade

Document identifier:
Access full text here:10.3390/f10090714
Keyword: Agricultural and Veterinary sciences, Annan maskinteknik, Träteknik, PLS modeling, Mould area, Fungi, Wood, N-Alkylbensyldimethylammonium chloride, Potassium silicate, Bacteria, Maskinteknik, Agricultural Science, Forestry and Fisheries, Teknik och teknologier, Other Mechanical Engineering, Mechanical Engineering, Engineering and Technology, Trävetenskap, Lantbruksvetenskap, skogsbruk och fiske, Lantbruksvetenskap och veterinärmedicin, Wood Science, Wood Science and Engineering
Publication year: 2019
Relevant Sustainable Development Goals (SDGs):
SDG 9 Industry, innovation and infrastructureSDG 15 Life on landSDG 3 Good health and wellbeing
The SDG label(s) above have been assigned by


Research Highlights: In this study, the Generally Recognised as Safe (GRAS) compounds were applied in order to study mould-fungi growth on dried Scots pine sapwood. Background and Objectives: The transition to the use of more sustainable wood-material may be possible by applying GRAS compounds that can control and prevent contamination by primary colonising mould fungi. Materials and Methods: Kiln-dried sawn timber was treated with three different GRAS compounds, and different fungal inoculation methods applied in order to investigate differences in the development of fungal communities. Results: Substances based on potassium silicate significantly reduced fungal growth and mould contamination on the studied wood surfaces. By combining wood-surface treatments with GRAS compounds, fungal-area size as predictors and mould grade as response, a partial least squares (PLS) model that makes it possible to predict mould grade on wood surfaces was developed. The PLS model is a key component in the development of a smart grading-systems equipped by e.g. high-speed digital cameras for the early detection of fungal attack on wood surfaces in different applications. However, the measurements based on chemical characterisation should be the next step to take in order significantly to enhance the model and increase the range of robust applications. In the current study, a multivariate model describing the influence of each fungal-covering area on mould grade was presented for the first time.


Olena Myronycheva

Luleå tekniska universitet; Träteknik
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Faksawat Poohphajai

Luleå tekniska universitet; Träteknik; innoReNew, Slovenia
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Margot Sehlstedt-Persson

Luleå tekniska universitet; Träteknik
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Tommy Vikberg

RISE Research Institutes of Sweden, Skellefteå, Sweden
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Olov Karlsson

Luleå tekniska universitet; Träteknik
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Helmut Junge

ABiTEP GmbH, Berlin, Germany
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Dick Sandberg

Luleå tekniska universitet; Träteknik
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