文献类型：期刊文献

中文题名：近红外光谱法快速测定毛竹Klason木质素的含量

英文题名：Rapid Determination of Klason Lignin Content in Bamboo by NIR

作者：李改云[1] 黄安民[1] 王戈[2] 覃道春[2] 江泽慧[1]

第一作者：李改云

机构：[1]中国林业科学研究院木材工业研究所;[2]国际竹藤网络中心

年份：2007

卷号：27

期号：10

起止页码：1977-1980

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：20074710937218);Scopus(收录号：2-s2.0-36248950124);北大核心:【北大核心2004】；CSCD:【CSCD2011_2012】；PubMed;

基金：国家林业局"948"引进项目(2003-4-27)资助

语种：中文

中文关键词：木质素;毛竹;近红外;偏最小二乘法

外文关键词：Klason lignin; Bamboo; NIR; PLS1

分类号：S795.9

摘要：研究了用近红外漫反射光谱法对毛竹Klason木质素含量的快速预测。选取了代表不同竹龄、不同高度和横向不同位置的54个竹材粉末样品,用常规实验室方法测定了54个样品的Klason木质素含量,用近红外光谱仪漫反射方式在350～2500nm范围内采集相应样品的光谱,利用多变量统计分析软件建立样品木质素含量和光谱数据之间的相关性模型。结果表明,对原始光谱进行二阶导数预处理后,选择1011～1675nm和1930～2488nm波长区间,用偏最小二乘法(PLS1)和完全交互验证方式建立了的校正模型和预测模型的相关系数分别为0.99,和0.97,校正标准误差SEC=0.36%,预测标准误差SEP=0.59%,说明毛竹Klason木质素含量和近红外光谱之间存在非常好的相关性,用近红外光谱技术可以实现对竹材样品中Klason木质素含量的快速预测。
Lignin is one of the main components of lignocellulosic materials. The main purpose of wood cooking and bleaching is to remove lignin by chemical agent in paper industry. Whereas the lignin content shows wide variations depending on its tree spe- cie, site condition, part and so on, it is essential to analyze the lignin content of different raw material. The aim of this paper is to develop a rapid near infrared （NIR） reflectance spectroscopic method to characterize the Klason lignin content of bamboo. Fifty four samples from three growth years, two positions along the longitudinal directions and three positions along the radial directions within a bamboo pole were prepared. The Klason lignin contents of 54 samples were analyzed according to traditional chemical method, the spectra of these samples were collected by NIR in the range of 350 to 2 500 nm, and the relationship between the lignin content and the spectra of these samples was established by multivariate statistical technique. After second derivative pretreatment of raw spectra, the Klason lignin contents of the bamboo samples were quantified using partial least-squares statistical analysis （PLS1） and full cross validation in the range of 1 011-1 675 nm and 1 930-2 488 nm. High coefficients of correlation （r） were obtained between the predicted NIR results and those obtained from traditional chemical method. The correlation coefficient of calibration model and prediction model was 0. 99 and 0. 97, respectively. The standard error of calibration （SEC） and standard error of prediction （SEP） was 0. 36% and 0. 59%, respectively. It was found that the lignin content in bamboo could be determined rapidly with reasonable accuracy by the NIR method.