NIR spectral–kinetic analysis for thermally degraded Sugi (Cryptomeria japonica) wood
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Kinetic analysis was conducted on principal component scores calculated from second-derivative near-infrared (NIR) spectra of thermally treated Sugi (Cryptomeria japonica) wood samples. NIR reflectance spectra were measured for wood samples thermally treated at 90, 120, 150 and 180 °C in an air-circulating oven for periods ranging from 5 min to approximately 1.4 years. The Arrhenius approach, which involves the time–temperature superposition method, is used to understand the change in the principal component score. The master curve corresponded well with the change in principal component scores at each temperature and yielded a determination coefficient between the measured and estimated data of 0.99 for second principal component score. This report shows that kinetic analysis is useful to understand changes in the principal component score calculated from NIR spectra of wood subjected to thermal treatment.
KeywordsPartial Less Square Wood Sample Partial Less Square Regression Equilibrium Moisture Content Shift Factor
The authors would like to acknowledge financial support in the form of a Kakenhi Grant-in-Aid (No. 26850111) from the Japan Society for the Promotion of Science (JSPS).