Classification of the hot air heat treatment degree of larch wood using a multivariate analysis of near-infrared spectroscopy
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In this study, hot air heat treatments of larch (Larix kaempferi) wood specimens were conducted at various temperatures (160–220 °C) and times (1–12 h) to classify the degree of hot air heat treatment using near-infrared (NIR) spectroscopy. NIR reflectance spectra were acquired from specimen cross-sections and were then preprocessed using the standard normal variate. Hierarchical clustering analysis (HCA) using the complete linkage and squared Euclidean distance was conducted to classify the three degrees of heat treatment. A principal component score plot of the NIR spectra was well grouped by the HCA grouping result, and the first component reflected the cluster analysis grouping well. A partial least squares discriminant analysis was performed to develop the discriminant regression model of the three heat treatment degrees. The R2 and root mean square error of validation were 0.959 and 0.191, respectively. NIR is considered to be a good candidate to routinely measure the degree of hot air treatment for larch wood.
KeywordsLarch Wood heat treatment Discriminant analysis Multivariate analysis Near-infrared spectroscopy
This work was financially supported by the Forest Science & Technology Projects (Project No. S121315L010100) provided by Korea Forest Service. This work was financially supported by the Forest Science & Technology Projects (Project No. 2016009B10-1719-AB01) provided by Korea Forest Service.
- 1.Esteves B, Pereira H (2008) Wood modification by heat treatment: a review. Bio Resour 4(1):370–404Google Scholar
- 5.Militz H (2002) Heat treatment technologies in Europe: scientific background and technological state-of-art. In proceedings of the conference on enhancing the durability of lumber and engineered wood products. FPS/Madison US, Conference, Florida, 11–13 February 2002Google Scholar
- 6.Syrjänen T, Kangas E (2000) Heat treated timber in Finland. The International Research Group on Wood Protection, Kona, No. IRG/WP 00–40158Google Scholar
- 7.Thermowood (2015) Production statistics 2015. https://asiakas.kotisivukone.com/files/thermowood.palvelee.fi/uutiset/Productionstatistics2015.pdf. Accessed 15 Sept 2017
- 8.Schnabel T, Zimmer B, Petutschnigg AJ, Schönberger S (2007) An approach to classify thermally modified hardwoods by color. For Prod J 57(9):105Google Scholar
- 9.Aksoy A, Deveci M, Baysal E, Toker H (2011) Colour and gloss changes of Scots pine after heat modification. Wood Res 56(3):329–336Google Scholar
- 14.Schwanninger M, Hinterstoisser B, Gierlinger N, Wimmer R, Hanger J (2004) Application of Fourier transform near infrared spectroscopy (FT-NIR) to thermally modified wood. Eur J Wood Wood Prod 62(6):483–485Google Scholar
- 20.Weiland JJ, Guyonnet R (2003) Study of chemical modifications and fungi degradation of thermally modified wood using DRIFT spectroscopy. Eur J Wood Wood Prod 61(3):216–220Google Scholar
- 21.Zaman A, Alén R, Kotilainen R (2000) Thermal behavior of Scots pine (Pinus sylvestris) and silver birch (Betula pendula) at 200–230 °C. Wood Fiber Sci 32(2):138–143Google Scholar