首页 | 本学科首页   官方微博 | 高级检索  
     检索      

近红外光谱结合CARS变量筛选方法用于液态奶中蛋白质与脂肪含量的测定
引用本文:张华秀,李晓宁,范伟,梁逸曾,唐玉莲.近红外光谱结合CARS变量筛选方法用于液态奶中蛋白质与脂肪含量的测定[J].分析测试学报,2010,29(5).
作者姓名:张华秀  李晓宁  范伟  梁逸曾  唐玉莲
作者单位:中南大学,化学化工学院,中药现代化研究中心,湖南,长沙,410083
摘    要:采用CARS(Competitive adaptive reweighted sampling)变量筛选方法建模,显著提高了液态奶中蛋白质与脂肪近红外模型的预测精度。用蒙特卡罗采样(Monte-Carlo sampling)方法先剔除奇异样本,再对光谱进行中心化与Karl Norris滤波降噪处理,通过CARS方法筛选出与样本性质密切相关的变量,建立预测蛋白质与脂肪含量的偏最小二乘法(PLS)校正模型,并与未选变量的PLS模型进行比较。以定标集相关系数(r2)及交互验证均方残差(RMSECV)和预测误差均方根(RMSEP)作为判定依据,确定了蛋白质与脂肪的最佳建模条件。蛋白质与脂肪校正模型的相关系数分别为0.975 0、0.995 1,RMSECV分别为0.194 8、0.136 3,RMSEP分别为0.113 3、0.140 1,预测结果优于未选变量的PLS模型及其他选变量方法,有效简化了模型,适于液态奶中脂肪和蛋白质的快速、无损检测。

关 键 词:近红外光谱  液态奶  偏最小二乘法  CARS变量筛选法

Determination of Protein and Fat in Liquid Milk by NIR Combined with CARS Variables Screening Method
ZHANG Hua-xiu,LI Xiao-ning,FAN Wei,LIANG Yi-zeng,TANG Yu-lian.Determination of Protein and Fat in Liquid Milk by NIR Combined with CARS Variables Screening Method[J].Journal of Instrumental Analysis,2010,29(5).
Authors:ZHANG Hua-xiu  LI Xiao-ning  FAN Wei  LIANG Yi-zeng  TANG Yu-lian
Institution:ZHANG Hua-xiu,LI Xiao-ning,FAN Wei,LIANG Yi-zeng,TANG Yu-lian(Research Center of Modernization of Chinese Medicines,College of Chemistry and Chemical Engineering,Central South University,Changsha 410083,China)
Abstract:Near-infrared(NIR) spectroscopy has become an extensively used analytical technique in many industrial applications because of its rapidness and the fact that it is non-destructive to the samples.In this paper,competitive adaptive reweighted sampling method was employed to improve the prediction accuracy of the NIR model of protein and fat in liquid milk.Monte-Carlo sampling method was employed to detect the outlier before preprocessing the spectroscopy by means of centering and Karl Norris derivative metho...
Keywords:near infrared spectroscopy  liquid milk  PLS  competitive adaptive reweighted sampling  
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号