文献类型：期刊文献

中文题名：近红外光谱法快速预测栓皮栎木材密度可行性研究

英文题名：Feasibility Research on Rapid Predicting Wood Density in Quercus variabilis by Near Infrared Spectroscopy

作者：汪睿[1] 王雪玉[1] 贾茹[1] 甘家兵[2] 任海青[1] 王玉荣[1]

第一作者：汪睿

机构：[1]中国林科院木材工业研究所,北京100091;[2]国有信阳市南湾林场,河南信阳464031

年份：2020

卷号：34

期号：5

起止页码：54-58

中文期刊名：木材工业

外文期刊名：China Wood Industry

收录：CSTPCD;;北大核心:【北大核心2017】；

基金：中央级公益性科研院所基金项目“主要栎类树种木材材性与干燥技术研究”(CAFYBB2018ZB001-5)。

语种：中文

中文关键词：栓皮栎;木材密度;近红外光谱

外文关键词：Quercus variabilis;wood density;near infrared spectroscopy

分类号：S781.31;S792.18

摘要：采用偏最小二乘法(PLS),建立近红外光谱快速预测栓皮栎木材气干密度的方法。以来自4棵栓皮栎木材不同径向部位的131个样品为研究对象,按GB/T 1933—2009《木材密度测定方法》测定气干密度,并采集其近红外光谱,结果显示采用横切面光谱建立的模型效果最佳。通过梯度法选择多个建模样本集建立了多个PLS模型,模型的校正及预测相关系数均大于0.9。研究表明近红外光谱法快速预测栓皮栎木材气干密度具有可行性。
Partial least squares method(PLS)was used to establish a method to rapidly predict the air-dry density of Quercus variabilis by near infrared(NIR)spectroscopy.The wood densities of 131 samples from the different radial positions in four trees were determined by referring to GB/T 1933—2009“Method for determination of wood density”,and their NIR spectra were collected.The results showed the effect of model based on NIR spectra taken from the transverse surface was the best.Multiple modeling sample sets were selected by gradient method and multiple PLS models were established.The correlation coefficients of calibration and prediction models were both greater than 0.9.The research showed that it was feasible to predict the wood air-dry density of Quercus variabilis by NIR spectroscopy.