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基于近红外光谱技术预测木材纤维长度
A Novel Method for Estimating Wood Fiber Length Using Near Infrared Spectroscopy
【摘要】 介绍了近红外光谱分析技术应用于测量木材纤维长度的基本原理及流程。采用化学计量学中的偏最小二乘和完全交互验证法,通过建立了我国人工林造纸针叶材湿地松和阔叶材滩地72杨木材样品近红外光谱与纤维长度实验值之间的校正模型,来预测相应树种木材的纤维长度。模型的相关指标表明,近红外光谱分析技术可以快速准确地对这两种木材的纤维长度进行预测。
【Abstract】 The principle and approach for estimating wood fiber length using Near Infrared Spectroscopy (NIR) were introduced. In this method, the partial least square (PLS) and full cross validation in chemometrics were used to establish the calibration models for predicting the fibers length of slash pine (softwood) and poplar (hardwood). Their model parameters showed that NIR spectroscopic technique can rapidly and accurately predict the fibers length of these two wood species.
【基金】 国家林业局948引进项目(2002-45,2003-4-27);国家科技支撑计划课题(2006BAD19B04)资助
- 【文献出处】 中国造纸 ,China Pulp & Paper , 编辑部邮箱 ,2008年06期
- 【分类号】TS721
- 【被引频次】43
- 【下载频次】419