文献类型：期刊文献

中文题名：杉木综纤维素和木质素的近红外光谱法测定

英文题名：Determination of Holocellulose and Lignin Content in Chinese Fir by Near Infrared Spectroscopy

作者：黄安民[1] 江泽慧[1] 李改云[1]

第一作者：黄安民

机构：[1]中国林业科学研究院木材工业研究所

年份：2007

卷号：27

期号：7

起止页码：1328-1331

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：20073310766473);Scopus(收录号：2-s2.0-34547807199);WOS:【SCI-EXPANDED(收录号:WOS:000248697600020)】；北大核心:【北大核心2004】；CSCD:【CSCD2011_2012】；PubMed;

基金：国家科技支撑计划课题(2006BAD19B0704);国家林业局"948"引进项目(2003-4-27)资助

语种：中文

中文关键词：近红外光谱;综纤维素;木质素

外文关键词：Near infrared spectroscopic（NIR）; Holocellulose; Lignin

分类号：S781.4

摘要：用近红外光谱法对杉木中综纤维素和木质素含量进行了快速测定。用常规湿化学方法测定了48个杉木木材样品的综纤维素和木质素,用近红外光谱仪采集相应的光谱,进行二阶微分处理和平滑预处理后,用偏最小二乘法和完全交互验证方式建立相应预测模型。综纤维素校正模型和预测模型的相关系数分别为0.96和0.93;预测标准误差分别为0.39和0.50;木质素校正模型和预测模型的相关系数分别为0.99和0.90;预测标准误差分别为0.10和0.28。结果表明,近红外光谱法可以快速分析木材中综纤维素和木质素含量。
The contents of holocellulose and lignin of wood are important determinants of the pulping quality of wood. The determination of holocellulose and lignin contents using traditional chemical methods is a costly and time-consuming process. Near infrared reflectance （NIR） analysis offers a fast, nondestructive testing and low cost alternative for prediction of wood quality. In the present article, the total amounts of holocellulose and lignin contents of 48 samples were analyzed according to standard wetchemical method. All samples were milled using a Standard Wiley knife mill with a 2 mm screen. The 2 mm material was sieved with a 40-60 mesh sieve. Then, near infrared （NIR） spectra were collected in diffuse reflectance from samples of meal contained in a spinning cup by an analytical spectral devices （ASD） Lab Spec at wavelengths between 350 nm and 2 500 nm. The raw spectra were pretreated by the second derivative and smoothing, then the NIR model was built using partial least-squares statistical analysis and full cross validation. The coefficients of correlation （r） of calibration and validation for holocellulose were 0. 96 and 0. 93, respectively; the standard error of calibration （SEC） and the standard error of prediction （SEP） were 0. 39 and 0. 50, respectively. For lignirr, the values for r of calibration and validation were 0. 99 and 0. 90, while the SEC and SEP were 0.10 and 0. 28, respectively. It was concluded that NIR analysis is a reliable, fast and nondestructive testing predictor of holocellulose and lignin content of wood in Chinese fir.