北京林业大学学报2013，Vol.35Issue(5)：110-116,7.
基于近红外光谱法预测杨木的综纤维素含量
Prediction of holocellulose content of poplar using near infrared spectroscopy
摘要
Abstract
The holocellulose is one of the main chemical components of wood cell wall and has a critical effect on wood property andutilization.The holocellulose contents of 42 samples of poplar were determined by national standard of China,and then the near infrared (NIR) of all samples was collected by LabSpec Pro FR/A114260 in this paper.The calibration and validation model were built using partial least squares (PLS1,PLS2) and principal component analysis (PCR) with different pretreatment methods of unpretreatment,Baseline,the first derivative and the second derivative in different spectral regions of 350-2 500 nm,1 300-2 050 nm and 2 050-2 500 nm.The results showed that the best model was built by PLS1 with un-pretreated spectral data and 8 principal components in 1 300-2 050 nm.The coefficients of correlation (r),the root mean square error and the standard error of calibration model were 0.963 8,0.006 3 and 0.006 4,respectively,and 0.647 1,0.023 6 and 0.024 0 for validation model.The correlation (r) was 0.818 8 between the predicting and lab measuring values of the samples not involved in modeling.关键词
近红外光谱/预处理/综纤维素含量Key words
near infrared spectroscopy (NIR)/pretreatment/ holocellulose content分类
农业科技引用本文复制引用
刘镇波,薛占川,刘一星,王鹏,沈晓燕,孔文杨,王向明..基于近红外光谱法预测杨木的综纤维素含量[J].北京林业大学学报,2013,35(5):110-116,7.基金项目
中央高校基本科研业务费专项(DL10BB13)、东北林业大学大学生创新性实验计划项目(1110225020). （DL10BB13）
