用近红外光谱法对人工林杨木的木质素含量进行了快速测定,采用国家标准方法测定了42个杨木木材样品的酸不溶木质素含量,并用近红外光谱仪(LabSpec Pro FR/A114260)测定相应的光谱。在350～2 500 nm、1 300～2 050 nm、2 050～2 500 nm 3个不同的光谱区域,采用未处理、Baseline、一阶导数、二阶导数等光谱的预处理方法,并采用PLS1、PLS2、PCR等3种不同的建模方法,建立了相应的校正模型与交互验证模型。结果表明:当光谱区域为1 300～2 050 nm,光谱数据未进行预处理,采用PLS2的建模方法,主成分数为10时,建立的校正模型预测效果最佳。校正模型的相关系数r=0.968 5,均方根误差为0.006 4,标准误差为0.006 6; 验证模型的相关系数r=0.655 3,均方根误差为0.020 2,标准误差为0.020 5。采用建立的模型对未参与建模的样本进行预测,其预测结果与实测结果之间的相关系数为0.766 5。
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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基金
收稿日期:2012-10-29 修回日期:2013-03-15
基金项目:中央高校基本科研业务费专项资金项目(DL10BB13); 东北林业大学大学生创新性实验计划项目(1110225020)
第一作者:刘镇波,副教授,博士。E-mail: liu.zhenbo@foxmail.com。
引文格式:刘镇波,孙凤亮, Wang Xiangming,等. 基于近红外光谱法的人工林杨木木质素含量预测[J]. 南京林业大学学报:自然科学版,2013,37(6):121-126.
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