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基于近红外光谱法的人工林杨木木质素含量预测(PDF)

《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

Issue:
2013年06期
Page:
121-126
Column:
研究论文
publishdate:
2013-11-27

Article Info:/Info

Title:
Prediction of lignin content of plantation poplar using near infrared spectroscopy method
Article ID:
1000-2006(2013)06-0121-06
Author(s):
LIU Zhenbo1 SUN Fengliang1 WANG Xiangming2 SHEN Xiaoyan1 WANG Peng1 XUE Zhanchuan1 LIU Yixing1
1. Key Laboratory of Bio-based Material Science and Technology, Ministry of Education, Northeast Forestry University, Harbin 150040, China;
2. FPInnovations, Quecbec, G1P 4R4, Cananda
Keywords:
poplar near infrared spectroscopy(NIR) pretreatment lignin content
Classification number :
S781.4
DOI:
10.3969/j.issn.1000-2006.2013.06.024
Document Code:
A
Abstract:
The lignin contents of plantation poplar were estimated using the method of the near infrared. The lignin contents of 42 samples of poplar were determined by national standard of China, and then the near infrared(NIR)of all samples were collected by LabSpec Pro FR/A114260 in this paper. The calibration and validation model were built using PLS1, PLS2 and PCR with different pretreatment methods of no-pretreatment. Baseline, the first derivative and the second derivative in different spectral region of 350-2 500 nm, 1 300-2 050 nm and 2 050-2 500 nm. The result shows that the model is the best using PLS2 with no-pretreated of spectral data and 10 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 are 0.968 5, 0.006 4 and 0.006 6, respectively, and 0.655 3, 0.020 2 and 0.020 5 for validation model. The correlation(r)is 0.766 5 between the prediction and lab measuring values of the samples without involved in modeling.

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Last Update: 2013-11-30