Classification of softwoods using wood extract information and near infrared spectroscopy

Three kinds of softwoods (Douglas fir, radiata pine, and Sugi) were used to test the possibility their classification via near infrared (NIR) spectroscopy. In a previous study, authors presented that content Korean softwood extractives (larix, red cedar, cypress) influenced wood classification. For expanding extent species be considered in analysis, three foreign newly introduced. Prior comparing NIR spectra obtained from softwoods, principal component analysis (PCA) was conducted evaluate discriminating softwoods. The also divided into groups based on PCA, thin-layer chromatography (TLC) improved reliability NIR-based extractive contents. A similar pattern for alcohol-benzene eluted compounds between same species.