中国农业科学院农业信息研究所 中国农学会
Agricultural Information Institute of CAAS China Association of Agricultural Science Societies
En
Ch
中国农业科学院农业信息研究所 中国农学会 主办

AI检索

订阅

返回顶部
当前位置: 首页 > 文章 > 近红外光谱法快速测定速生桉木化学成分含量 桉树科技 2015 (3) 51-56
Position: Home > Articles > Rapid Prediction of Chemical Components in Fast-growing Eucalyptus by Near Infrared Spectroscopy Eucalypt Science & Technology 2015 (3) 51-56

近红外光谱法快速测定速生桉木化学成分含量

作  者：
吴珽;房桂干;梁龙;崔宏辉;邓拥军
单  位：
中国林业科学研究院
关键词：
近红外光谱法;速生桉木;偏最小二乘法;化学成分
摘  要：
用常规方法测定了104个速生桉木样品的综纤维素、聚戊糖、酸不溶木素及苯醇抽出物含量并采集了样品的近红外光谱。对原始光谱进行多元散射校正后,运用偏最小二乘法和交互验证的方法,确定最佳主成分数并建立样品相关化学成分含量的校正模型。独立验证中综纤维素、聚戊糖、酸不溶木素和苯醇抽出物模型的决定系数Rval2分别为0.906 7、0.903 3、0.950 4、0.957 0;预测均方根误差(RMSEP)分别为0.33%、0.50%、0.31%、0.17%;相对分析误差(RPD)值分别为3.22、3.20、4.43、4.73;绝对偏差(AD)分别为-0.53%~0.60%、-0.95%~0.77%、-0.55%~0.52%、-0.22%~0.29%,4个校正模型较好地预测了验证集样品的化学成分含量,基本满足制浆造纸工业中快速测定速生桉木原料的需求。
译  名：
Rapid Prediction of Chemical Components in Fast-growing Eucalyptus by Near Infrared Spectroscopy
作  者：
WU Ting;FANG Gui-gan;LIANG Long;CUI Hong-hui;DENG Yong-jun;Institute of Chemical Industry of Forestry Products,CAF;Key Lab.of Biomass Energy and Material,Jiangsu Province;National Engineering Lab.for Biomass Chemical Utilization;Key and Open Lab.on Forest Chemical Engineering,SFA;
关键词：
near-infrared spectroscopy technique;;fast-growing Eucalyptus;;partial least squares;;chemical component
摘  要：
A study was conducted to use the conventional method to analyze the content of holocellulose, pentosan, lignin and benzene-alcohol extractive content of 104 fast-growing Eucalyptus wood samples and the near-infrared(NIR) spectra were also collected. After the original spectra were subject to multiplicative scatter correction(MSC), partial least squares(PLS) method and cross-validation were used to confirm the best factors. Based on those factors, calibration models for holocellulose, pentosan, lignin and benzene-alcohol extractive content were formulated. The independent verification showed the coefficient of determination(Rval2) for the holocellulose, pentosan, lignin and benzene-alcohol models were 0.91, 0.90, 0.95 and 0.96 respectively. The root mean square errors of prediction(RMSEP) were 0.33%, 0.50%, 0.31% and 0.17% respectively. The relative percent deviations(RPD) were 3.22, 3.20, 4.43 and 4.73 respectively. And, the absolute deviations(AD) were-0.53% ~ 0.60%,-0.95% ~ 0.77%,-0.55% ~ 0.52% and-0.22% ~ 0.29% respectively. All the calibration models met the requirements for rapid determination of wood properties of Eucalyptus based on their good predictive performance.

相似文章

导出引用
计量
文章访问数: 13
HTML全文浏览量: 0
PDF下载量: 0

所属期刊

推荐期刊

友情链接Friendly link
农业信息研究所Agricultural information institute 农业智能知识服务平台Agricultural intelligent knowledge service platform 农业学术服务平台Agricultural Knowledge Service System 中国知网CNKI 维普网VIP 万方WANFANG DATA
联系我们Contact us

电话Tell：010-82109652-808

邮箱E-mail：agrijournal@caas.cn

服务Service
关于我们About us 意见建议Opinions and suggest
版权说明Copyright
单位：中国农业科学院农业信息研究所 中国农学会 © 2017中国农业科学院农业信息研究所 ICP备案号：京ICP备09089781号-46