文献类型：期刊文献

中文题名：木材表面光泽度的近红外漫反射光谱技术快速测定研究

英文题名：Study of Rapid Prediction of Wood Surface Glossiness by Near Infrared Spectroscopy

作者：刘亚娜[1] 杨忠[1] 吕斌[1] 张毛毛[1] 王兴华[1]

第一作者：刘亚娜

通信作者：Yang, Z[1]

机构：[1]中国林业科学研究院木材工业研究所

年份：2014

卷号：34

期号：3

起止页码：648-651

中文期刊名：光谱学与光谱分析

外文期刊名：Spectroscopy and Spectral Analysis

收录：CSTPCD;;EI(收录号：20141217481867);Scopus(收录号：2-s2.0-84900571658);WOS:【SCI-EXPANDED(收录号:WOS:000335624300016)】；北大核心:【北大核心2011】；CSCD:【CSCD2013_2014】；PubMed;

基金：国家自然科学基金项目(30800889;31370711);国家人力资源和社会保障部2011年度留学回国人员优秀项目资助

语种：中文

中文关键词：天然高分子材料;木材;表面光泽度;近红外光谱

外文关键词：Natural polymer material;Wood;Surface glossiness;Near infrared spectroscopy

分类号：O657.3;S781

摘要：表面光泽度是天然高分子材料(如木材)及其制品的重要视觉参数之一,实现天然高分子材料及其制品表面光泽度的快速测定对其表面质量的在线控制与评价具有重要意义。为了实现近红外光谱技术对木材表面光泽度的快速测定以及拓宽近红外光谱技术在高分子材料表面质量控制领域的应用,本研究利用近红外光谱技术结合偏最小二乘法对天然高分子材料木材表面光泽度的模型预测值与实测值的相关性进行研究,探讨了近红外漫反射光谱技术快速测定天然高分子材料木材表面光泽度的可行性。结果表明:(1)木材表面光泽度与其近红外漫反射光谱密切相关,说明木材表面近红外光谱特征中包含表面光泽度的信息;(2)通过偏最小二乘法建立木材表面光泽度的近红外光谱预测模型,模型对木材表面光泽度的预测值与实测值的相关系数可达0.90;(3)通过改变采谱光纤与木材样品表面的夹角获得不同的漫反射光谱数据,分别建立不同的木材表面光泽度预测模型发现,采集光谱的光纤与样品表面的角度变化对结果影响不显著,光纤与样品表面夹角为90°时的结果相对较好。
Surface glossiness is one of the important visual appearance parameters of natural polymer material （wood） and its re-lated products .To realize the fast measurement of natural polymer material surface glossiness is of great significance to the on-line quality control and assessment of its surface .In order to broaden the application of near infrared （NIR） spectroscopy in the field of polymer material surface quality control and realize the feasibility of NIR as a fast measurement of surface glossiness ,the NIR combined with partial least squares （PLS） analysis were used to analyse the correlations of natural polymer material wood surface glossiness between the NIR predicted and lab measured ,and then to investigate the feasibility of NIR to rapidly predict the surface glossiness of natural polymer material wood .The results showed that the wood NIR diffuse reflectance spectroscopy regularly varied with the different wood surface glossiness ,from which we can concluded that the NIR spectrums reflected the information of wood surface glossiness .The correlation coefficients of surface glossiness between the PLS models predicted and lab measured were up to 0.90 .Additionally ,by changing the degree between the fiber and sample surface ,we collected the dif-ferent wood NIR spectrums ,the accuracy of NIR surface glossiness models based on these NIR spectrums had not significantly improved ,and models based on the NIR spectrums collected by the 90 degree between the fiber and sample surface performed better .