详细信息
近红外光谱法快速测定制浆杨木的材性 被引量:1
Rapid Prediction of Pulp Wood Properties by Near-infrared Spectroscopy Technique
文献类型:期刊文献
中文题名:近红外光谱法快速测定制浆杨木的材性
英文题名:Rapid Prediction of Pulp Wood Properties by Near-infrared Spectroscopy Technique
作者:吴珽[1] 房桂干[1] 梁龙[1] 崔宏辉[1] 邓拥军[1]
第一作者:吴珽
机构:[1]中国林业科学研究院林产化学工业研究所、江苏省生物质能源与材料重点实验室、国家林业局林产化学工程重点开放性实验室,江苏南京210042
年份:2015
卷号:34
期号:12
起止页码:11-15
中文期刊名:中国造纸
外文期刊名:China Pulp & Paper
收录:CSTPCD;;Scopus;北大核心:【北大核心2014】;
基金:国家林业局948项目“农林剩余物制机械浆节能和减量技术引进”(2014-4-31)
语种:中文
中文关键词:近红外光谱法;杨木;偏最小二乘法;化学成分;基本密度
外文关键词:near-infrared spectroscopy technique; poplar; partial least squares(PLS); chemical composition; basic density;
分类号:O657.3;TS721
摘要:用常规方法测定了4种常用制浆杨木的化学成分和基本密度,并采集了样品的近红外光谱。对光谱进行预处理后,运用偏最小二乘法和交互验证的方法,分别确定最佳主成分数并建立样品综纤维素、木素、苯-醇抽出物、基本密度的校正模型。独立验证中模型的决定系数(R2val)分别为0.9050、0.9098、0.9112、0.9165;预测均方根误差(RMSEP)分别为0.40%、0.42%、0.19%和0.0050 g/cm^3;相对分析误差(RPD)分别为3.24、3.33、3.36和3.46;绝对偏差(AD)分别为-0.49%~0.77%、-0.66%~0.63%、-0.28%~0.33%、-0.0094~0.0068 g/cm3,预测均方根误差和绝对偏差基本符合对误差的要求,4个模型能够满足制浆造纸中常用杨木材性的快速测定。
The chemical composition and basic density of four species of poplar which were widely used as raw material in pulping were determined by using traditional methods and the near-infrared( NIR) spectra of the samples were also collected. Partial least squares( PLS)method and cross-validation were used to confirm the best principal component numbers and build the calibration models for holocellulose,lignin,benzene ethanol extractive and basic density of poplar samples. The independent verification of the calibration models showed the coefficients of determination( R_(val)~2) were 0. 9050,0. 9098,0. 9112,0. 9165,respectively. The root mean square errors of prediction( RMSEP) were 0. 40%,0. 42%,0. 19%,0. 0050 g / cm^3,respectively. The relative percent deviations( RPD) were 3. 24,3. 33,3. 36 and3. 46,respectively. And the absolute deviations( AD) were- 0. 49% ~ 0. 77%,- 0. 66% ~ 0. 63%,- 0. 28% ~ 0. 33%,- 0. 0094 g / cm~3~0. 0068 g / cm~3,respectively. The root mean square error of prediction and the absolute deviation basically met the error requirement and the four calibration models could realize the rapid determination of the properties of poplar wood used in paper industry.
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