枸杞产地的小波变换红外光谱的聚类分析鉴别  

Clustering analysis of infrared spectroscopy of Chinese wolfberry by wavelet transform

作　　者：刘明地[1] 李仲[2] 吴启勋[1] 叶丹[1] 

机构地区：[1]青海民族大学化学与生命科学学院,西宁810007 [2]青海民族大学物理与电子信息工程学院,西宁810007

出　　处：《华中师范大学学报（自然科学版）》2014年第6期857-860,866,共5页Journal of Central China Normal University：Natural Sciences

基　　金：国家教育部春晖计划(Z2012108)

摘　　要：采用傅里叶变换红外光谱(FTIR)对不同枸杞样品产地进行鉴别.常规预处理方法和小波变换对红外光谱原始数据进行了预处理.对比常用的窗口移动平滑预处理、标准正态变换以及多元散射校正,说明小波变换是一种有效实用的光谱预处理方法.对已预处理后的红外光谱数据进行主成分分析和聚类分析,结果 18份枸杞样品聚为主产地和非主产地两大类,取得了较满意的分类效果.这种红外光谱技术结合聚类分析法被证明是可靠的,可作为枸杞产域鉴别的一种现代化方法.To study the identification of the origin of Chinese wolfberry based on FTIR （Fourier transform infrared spectroscopy）. The original data matrix of FTIR were pretreated with common preprocessing and wavelet transform. Wavelet transform is an effective spectrum data preprocessing method compares with common windows shifting smoothing preprocessing, standard normal variation correction and multiplicative scatter correction. Principal component analysis and cluster analysis were used to analyze the data after preprocessing. Cluster analysis showed that 18 samples could be clustered reasonably into two groups. The correctness of every classification was higher. This infrared spectral analysis technology combined cluster analysis methods was proved to be a reliable and practical method for the identification of geographical origin of Chinese wolfberry.

关 键 词：枸杞 傅里叶变换红外光谱 小波变换 聚类分析 

分 类 号：O657.37[理学—分析化学]