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近红外光谱快速预测乙酰化木材的增重率     被引量:3

Rapid Prediction of the Weight Percentage Gain of Acetylated Wood Using Near Infrared Spectroscopy

文献类型:期刊文献

中文题名:近红外光谱快速预测乙酰化木材的增重率

英文题名:Rapid Prediction of the Weight Percentage Gain of Acetylated Wood Using Near Infrared Spectroscopy

作者:柴宇博[1] 孙柏玲[1] 刘君良[1] 秦特夫[1] 储富祥[2]

第一作者:柴宇博

机构:[1]中国林业科学研究院木材工业研究所;[2]中国林业科学研究院

年份:2014

卷号:50

期号:9

起止页码:124-128

中文期刊名:林业科学

外文期刊名:Scientia Silvae Sinicae

收录:CSTPCD;;Scopus;北大核心:【北大核心2011】;CSCD:【CSCD2013_2014】;

基金:国家林业公益性行业科研专项"木质纤维材料的固态酯化与压缩增强技术"(201104004)

语种:中文

中文关键词:近红外光谱;乙酰化;大青杨;樟子松;增重率

外文关键词:near infrared spectroscopy;acetylation;Populus ussuriensis;Pinus sylvestris var. mongolica;weight percentage gain

分类号:TS102.2

摘要:采用近红外光谱技术对乙酰化大青杨和樟子松木材的增重率进行快速预测。在近红外波长780~2500 nm范围内,利用偏最小二乘法( PLS)建立木材横切面原始光谱及不同预处理(一阶导数、二阶导数、归一化处理和消噪)光谱乙酰化木材增重率数学模型,并进行比较分析。结果表明:乙酰化大青杨和樟子松木材分别选用归一化处理光谱和消噪光谱建立的增重率校正模型预测效果较好,预测模型相关系数( R)分别为0.90和0.70,预测标准差(RMSEP)分别为1.0072和1.3012,其中乙酰化大青杨木材增重率预测模型实测能力较佳,表明利用木材横切面近红外光谱建立的数学模型可以实现乙酰化木材增重率的快速预测。
Near infrared ( NIR ) spectroscopy technique was applied to predict weigh percentage gain ( WPG ) of acetylated Populus ussuriensis wood and Pinus sylvestris var. mongolica wood. In the region of 780 -2 500 nm,partial least squares ( PLS) was used to build models of WPG of acetylated wood based on raw spectra of wood transverse section and pretreated spectra,including first derivative spectra,second derivative spectra,standard normalized variate spectra and noise spectra. The results showed that the PLS models of WPG of acetylated P. ussuriensis wood and Pinus sylvestris var. mongolica wood,based on standard normalized variate spectra and noise spectra,gave the strongest correlations,with correlation coefficient ( R ) of 0. 90 and 0. 70 and root mean standard error of prediction ( RMSEP ) of 1. 007 2 and 1. 301 2 in prediction set. The relation between NIR predicted and WPG actual values of acetylated P. ussuriensis wood was much better than that of acetylated Pinus sylvestris var. mongolica wood. Therefore,it is concluded that WPG of acetylated wood can be estimated by NIR spectroscopy with sufficient accuracy.

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