文献类型：期刊文献

中文题名：基于近红外法的紫胶原胶主组分快速预测模型构建

英文题名：Rapid Prediction Model of Primary Components of Sticklac Based on Near Infrared Method

作者：唐保山[1,2] 李坤[2] 张弘[2] 张雯雯[2] 关庆芳[3] 史正军[1]

第一作者：唐保山

机构：[1]西南林业大学林学院,云南昆明650224;[2]中国林业科学研究院资源昆虫研究所,国家林业和草原局特色森林资源工程技术研究中心,云南昆明650233;[3]安宁戴科精细化工有限公司,云南昆明650301

年份：2020

卷号：40

期号：4

起止页码：47-56

中文期刊名：林产化学与工业

外文期刊名：Chemistry and Industry of Forest Products

收录：CSTPCD;;Scopus;北大核心:【北大核心2017】；CSCD:【CSCD2019_2020】；

基金：中央级公益性科研院所基本科研业务费专项资金资助项目(CAFYBB2018SY024,CAFYBB2017MA012)。

语种：中文

中文关键词：原胶;近红外光谱;主组分;预测模型

外文关键词：sticklac;near infrared spectrum;primary components;prediction model

分类号：TQ351.7;O657.3

摘要：采用化学法测定了紫胶原胶中的树脂、蜡质和色素的含量,用傅里叶变换近红外光谱技术采集原胶的近红外光谱数据,得到原始光谱,通过光谱预处理方法消除噪声,最后以偏最小二乘法(PLS)建立回归模型。最终得到紫胶中树脂、蜡质和色素含量的近红外光谱分析模型,其树脂、蜡质和色素的最优校正集决定系数(R2c)分别为0.961、0.812和0.828,交叉验证标准误差(RMSECV)分别为1.96、0.28和0.065;验证集的最优决定系数(R2p)分别为0.957、0.808和0.793,预测标准误差(RMSEP)分别为0.940、0.124和0.101。建立的紫胶原胶主组分近红外检测模型的准确度、稳定性及预测性能良好,为紫胶原胶主组分快速分析方法的建立提供了新思路。
Chemical methods were used to determine the content of resin,wax and pigment in the sticklac.Fourier transform near infrared spectroscopy(FT-NIR)was used to collect the near infrared spectra of sticklac,and the original spectra were obtained.Spectral pretreatment was employed to eliminate the noise,and partial least squares(PLS)was performed to establish the regression model.Finally,the analysis model of near infrared spectrum of resin,wax and pigment content in sticklac was established.The correction determination coefficients(R2c)of resin,wax and pigment were 0.961,0.812,0.828,respectively.The root mean square errors of cross validation(RMSECV)were 1.96,0.28,0.065,respectively.The determination coefficients(R2p)of validation sets were 0.957,0.808,0.793,respectively.And the root mean square errors of prediction(RMSEP)were 0.94,0.124,0.101,respectively.The results showed that the accuracy,stability and prediction performance of the model were good,which provided a new idea for the establishment of rapid analysis method for the primary components of sticklac.