光谱学与光谱分析, 2018, 38 (4): 1066, 网络出版: 2018-06-12  

不同含水率下木材尺寸变化的近红外光谱研究

Studies on Dimensional Stability of Wood under Different Moisture Conditions by Near Infrared Spectroscopy Technology
作者单位
北京林业大学材料科学与技术学院, 北京 100083
摘要
木材和水分关系的研究一直以来都是木材学研究领域的重点课题。 木材中水分含量变化会使木材产生干缩湿胀, 进而影响其尺寸稳定性, 这关系到木材的实际应用。 一般认为, 木材产生变形的根本原因是木材化学组分中多糖类物质所含羟基与水分形成氢键作用的结果, 而近红外光谱对有机材料含氢基团具有高度的敏感性。 利用这一特点, 为了能够实现对木材尺寸变化的在线快速检测, 应用近红外光谱(near infrared, NIR)探讨了不同含水率木材与其尺寸稳定性之间的相互关系并建立了木材尺寸变化预测模型。 通过对不同含水率下木材三个切面进行近红外扫描得到光谱信息, 结合化学计量学方法, 建立基于偏最小二乘法的木材径、 弦向尺寸变化率的近红外光谱模型, 并采用交叉检验的方式对模型进行验证。 结果表明: 不同含水率条件下的木材径、 弦向尺寸变化率与相应的近红外光谱有很高的相关性, 说明可以通过近红外光谱来研究木材的尺寸变化; 研究建立的木材径、 弦向尺寸变化模型的相关系数都大于0.90, 均具有比较好的适用性; 通过比较横切面上建立的径、 弦向尺寸变化率模型, 弦向好于径向。 以上结果表明利用近红外光谱技术对木材的尺寸变化进行快速、 准确的预测具有较好的可行性。
Abstract
Relationship between wood and moisture content has always been a focus in wood science research field. Shrinkage or swelling that affects dimensional stability of wood occurs while moisture content changes. The problem is closely related to the end use of wood. Generally wood deformation is mainly depend on polysaccharides of wood chemical composition containing hydroxyl and water to form hydrogen bonding. Near-infrared spectroscopy (NIR) with a high sensitivity to organic materials containing hydrogen groups will be a useful tool to realize on-line rapid detection on shrinkage or swelling of wood. Relationships between moisture contents and size changes of wood were investigated in this research by using NIR technology, furthermore the predicted models of size changes induced by moisture content were built. The near infrared spectra coupled with chemometric techniques were collected on three sections of wood. Prediction models of size change of wood were constructed on base of partial least squares and corresponding cross-validation. The results showed that size changes of wood in tangential and radial section under several different moisture contents had a high correlation with the corresponding near infrared spectra. It is feasible to detect size change of wood by NIR. On the other hand determine coefficients (R2) of prediction models in tangential and radial direction are over 0.90, which are satisfactory to predict wood deformation under different moisture content conditions. Additionally the prediction model of size change in tangential is better than that of in radial direction. The above results showed size changes induced by moisture content could be predicted quickly and accurately by NIR technology.

王立双, 张文博, 仝莉. 不同含水率下木材尺寸变化的近红外光谱研究[J]. 光谱学与光谱分析, 2018, 38(4): 1066. WANG Li-shuang, ZHANG Wen-bo, TONG Li. Studies on Dimensional Stability of Wood under Different Moisture Conditions by Near Infrared Spectroscopy Technology[J]. Spectroscopy and Spectral Analysis, 2018, 38(4): 1066.

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