Inagaki Tetsuya, Mitsui Katsuya, Tsuchikawa Satoru
Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya 464-8601, Japan.
Appl Spectrosc. 2008 Nov;62(11):1209-15. doi: 10.1366/000370208786401563.
The degradation mechanism of softwood due to the variation of strength was analyzed in conjunction with spectroscopy and chemometrics, where the sample was thermally treated with a steam atmosphere. Near-infrared (NIR) spectra, chemical composition, oven-dried density, equilibrium moisture content, compressive Young's modulus parallel to the grain, and cellulose crystallinity of artificially degraded hinoki cypresses as an analogue of archaeological objects were systematically measured. Partial least squares (PLS) regression analysis was employed to predict compressive Young's modulus using NIR spectra and some kinds of wood properties as independent variables. Good prediction models were obtained for both independent variables. The scores and the loading plots derived from PLS analysis were applied to consistently explain the mechanism of hydrothermal degradation. It was suggested that the variation of compressive Young's modulus with hydrothermal treatment was governed by two main components, that is, depolymerization of polysaccharides and variation of cellulose crystallinity.
结合光谱学和化学计量学分析了软木因强度变化而产生的降解机制，其中样品在蒸汽气氛中进行热处理。系统测量了作为考古对象类似物的人工降解日本扁柏的近红外（NIR）光谱、化学成分、烘干密度、平衡含水率、平行于纹理方向的压缩杨氏模量以及纤维素结晶度。采用偏最小二乘（PLS）回归分析，以NIR光谱和某些木材性质作为自变量来预测压缩杨氏模量。对于这两个自变量都获得了良好的预测模型。将PLS分析得出的得分图和载荷图用于连贯地解释水热降解机制。结果表明，水热处理导致的压缩杨氏模量变化受两个主要因素控制，即多糖的解聚和纤维素结晶度的变化。
