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

血糖近红外光谱分析的Savitzky-Golay平滑模式与偏最小二乘法因子数的联合优选
引用本文:谢军,潘涛,陈洁梅,陈华舟,任小焕.血糖近红外光谱分析的Savitzky-Golay平滑模式与偏最小二乘法因子数的联合优选[J].分析化学,2010,38(3).
作者姓名:谢军  潘涛  陈洁梅  陈华舟  任小焕
作者单位:1. 广东省高等学校光电信息与传感技术重点实验室(暨南大学),广州,510632
2. 暨南大学生物工程学系,广州,510632
3. 广东省高等学校光电信息与传感技术重点实验室(暨南大学),广州,510632;上海大学数学系,上海,200444
基金项目:国家自然科学基金(No.10771087);;广东省自然科学基金(No.7005948);;广东省科技计划项目(Nos.2007A020905001,2007B030501008,2007B020714001);;广州市科技攻关项目(No.2007Z3-E0281)资助
摘    要:利用偏最小二乘法(PLS)和光谱Savitzky-Golay(SG)平滑方法,建立血清葡萄糖近红外光谱分析的优化模型。基于最优单波数模型的预测效果,提出划分校正集和验证集的一种新方法。采用10000~5300cm-1和4920~4160cm-1的组合波段,光谱经过SG平滑处理,利用PLS方法建立定标预测模型。将平滑点数扩充为5,7,…,87(奇数),多项式次数扩充为n=2,3,4,5,6,得到包含582个平滑模式的14个平滑系数表。对所有平滑模式和PLS因子数(1~40)分别建立PLS模型。按照预测效果进行优选,得到最优SG平滑模式为1阶导数平滑,3、4次多项式类型,SG平滑点数为53,最优PLS因子数为7,最优RMSEP达到0.376mmol/L。所采用的划分校正集和验证集的方法、SG平滑模式的扩充、SG平滑模式和PLS因子数的联合大范围筛选能够有效地应用于近红外光谱分析的模型优化。

关 键 词:血糖  近红外光谱  偏最小二乘法  Savitzky-Golay平滑  校正集验证集划分  

Joint Optimization of Savitzky-Golay Smoothing Models and Partial Least Squares Factors for Near-infrared Spectroscopic Analysis of Serum Glucose
XIE Jun,PAN Tao,CHEN Jie-Mei,CHEN Hua-Zhou,Ren Xiao-Huan.Joint Optimization of Savitzky-Golay Smoothing Models and Partial Least Squares Factors for Near-infrared Spectroscopic Analysis of Serum Glucose[J].Chinese Journal of Analytical Chemistry,2010,38(3).
Authors:XIE Jun  PAN Tao  CHEN Jie-Mei  CHEN Hua-Zhou  Ren Xiao-Huan
Institution:Key Laboratory of Optoelectronic Information and Sensing Technologies of Guangdong Higher Educational Institutes;Jinan University;Guangzhou 510632; Department of Biological Engineering;Guangzhou 510632; Department of Mathematics;Shanghai University;Shanghai 200444
Abstract:The optimal model for the near-infrared spectroscopic analysis of serum glucose was established by partial least squares( PLS) and Savitzky-Golay( SG) smoothing method. Based on the prediction effect of the optimal single wave number model,a new dividing method for calibration set and prediction set was given. The calibration and prediction models were established by PLS method adopting the combination bands of 10000-5300 cm-1 and 4920-4160 cm-1 with Savitizky-Golay( SG) smoothing. By extending the number o...
Keywords:Serum glucose  Near-infrared spectroscopy  Partial least squares  Savitzky-Golay smoothing  Dividing calibration set and prediction set  
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