基于近红外光谱技术构建蓝莓总酚含量的模型  

Content Model Establishment of Total Polyphenols in Blueberries by Near Infrared Spectroscopy

作　　者：王姗姗[1] 李路宁[1] 孙红男[1] 陈健[1] 孙爱东[1] 

机构地区：[1]北京林业大学生物科学与技术学院,北京市清华东路35号100083

出　　处：《光谱实验室》2011年第6期3169-3174,共6页Chinese Journal of Spectroscopy Laboratory

基　　金：国家林业公益性行业科研专项(200904014)

摘　　要：选用6个品种(埃利奥特、达柔、爱国者、杜克、北蓝、蓝丰)的蓝莓,应用傅里叶变换近红外光谱仪(FTNIR)对蓝莓中总酚含量进行分析,采用主成分分析(PCA)和偏最小二乘回归法(PLS)建立了蓝莓总酚含量近红外数学校正集模型,其相关系数为0.9512、校正集标准偏差(RMSEC)为0.72、预测集标准偏差(RMSEP)为0.93。该方法快速、准确、无损,能准确地预测蓝莓中总酚含量。The contents of total polyphenols in the six varieties blueberries,such as ＂Elliott＂,＂Darrow＂,＂Patriot＂,＂Duke＂,＂Northblue＂ and ＂Bluecrop＂,were determined and analyzed by Fourier transform near infrared spectroscopy（FTNIR）,and the near infrared calibration mathematics model of the content of total polypheols in blueberries was established by principal component analysis（PCA） and partial least squares（PLS）,and the correlation coefficient was 0.9512 with calibration standard deviation of 0.72 and the prediction standard deviation of 0.93.The method is fast,accurate and lossless to predict the content of total polyphenols in blueberries,accurately.

关 键 词：蓝莓 多酚 偏最小二乘法 近红外光谱 

分 类 号：O657.33[理学—分析化学]