文献类型：期刊文献

中文题名：制浆材木质素含量近红外分析模型传递研究

英文题名：Study on Near-infrared Calibration Model Transfer for Lignin Content in Pulpwood

作者：刘耀瑶[1] 杨浩[1] 熊智新[1] 梁龙[2] 房桂干[2]

第一作者：刘耀瑶

机构：[1]南京林业大学江苏省制浆造纸科学与技术重点实验室,江苏南京210037;[2]中国林业科学研究院林产化学工业研究所,江苏南京210042

年份：2019

卷号：34

期号：3

起止页码：43-49

中文期刊名：中国造纸学报

外文期刊名：Transactions of China Pulp and Paper

收录：CSTPCD;;Scopus;北大核心:【北大核心2017】；CSCD:【CSCD_E2019_2020】；

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;模型传递;木质素;制浆材

外文关键词：near-infrared spectroscopy;model transfer;lignin;pulpwood

分类号：TS7;O657.3

摘要：为研究制浆材中木质素含量近红外分析模型在两台便捷式近红外光谱仪间的传递,对制浆材木质素样品近红外光谱数据集进行代表性样本的选取、光谱预处理和界外样本的剔除,建立了源机的优化偏最小二乘(PLS)校正模型。分别采用斜率截距算法(S/B)、直接校正算法(DS)和典型相关分析算法(CCA)进行源机与目标机间的模型传递并比较了预测效果。结果表明,S/B算法模型传递效果较差,而经DS算法和CCA算法模型传递后的预测效果均有大幅提升。DS算法模型传递后决定系数(R^2)、预测标准差(RMSEP)和相对标准差(RPD)分别为0.9643、1.0370%和5.3513;CCA算法模型传递后R^2为0.9540、RMSEP为1.1766%、RPD为4.7711。因此,DS算法和CCA算法均可实现制浆材木质素含量近红外分析模型在两台便携式近红外光谱仪之间的传递。
The near-infrared calibration model transfer for lignin content in pulpwood was investigated between two portable near-infrared spectrometers.An optimal calibration model of master was established by partial least square(PLS)after the selection of representative infrared spectroscopy data net samples,preprocessing and eliminating outlier samples.The near-infrared spectroscopy calibration model was transferred between master and slave by the algorithms of slope/bias(S/B),direct standardization(DS)and canonical correlation analysis(CCA),respectively,and the prediction results were compared.The results indicated that the models transferred by DS and CCA improved the prediction accuracy significantly comparing to the algorithm of S/B with a poor performance.The coefficient of determination(R^2),root mean square error of prediction(RMSEP)and ratio of performance to standard deviate(RPD)by DS were 0.9643,1.0370%,5.3513,and by CCA were 0.9540,1.1766%,4.7711,respectively.Therefore,both DS and CCA algorithms could achieve the calibration model transfer between the two portable near-infrared spectrometers.