[Water in wood and its near infrared spectroscopic analysis].

Water is one of the most important characters of wood, so the effect of moisture content on the results must be considered in wood property analysis by NIR spectroscopy. In the present study, the absorbance of wood with various moisture content in NIR spectra was analyzed. Then the moisture contents in wood were predicted by NIR spectroscopy. The coefficient of determination is 0. 99; and SEC and SEP are 0.041 and 0.043 respectively. In addition, a strong liner relationship between wood density with a 12% moisture content and wood NIR spectra with different moisture contents (7%, 12%, 20%, 30% and 60%) was found. The results indicate that the model built with different moisture contents can predict wood density of 12% moisture content.