8种康乃馨的FTIR研究  

Discrimination of Eight Carnations by FTIR Spectroscopy

作　　者：于海超[1] 刘刚[1] 欧全宏[1] 马殿旭 李会梅[1] 

机构地区：[1]云南师范大学物理与电子信息学院,昆明650500

出　　处：《中国农学通报》2015年第34期119-123,共5页Chinese Agricultural Science Bulletin

基　　金：国家自然科学基金项目"蚕豆生物性病害的振动光谱诊断研究"(30960179);云南省高校科技创新团队支持计划

摘　　要：为区分康乃馨植物,利用傅里叶红外光谱（FTIR）技术结合主成分分析（PCA）和聚类分析（HCA）方法,测试研究8种康乃馨品种40个样品的红外光谱。结果表明,8种样品红外光谱图比较相似,但在1800~700 cm-1范围内红外光谱的峰位、峰形及吸收峰强度差异明显。选取1800~700 cm-1范围内进行二阶导数处理,利用SPSS进行主成分分析（PCA）和聚类分析（HCA）。前3个主成分的累计贡献率达到96.2%,主成分分析准确率达95%,聚类分析准确率达100%。研究结果显示：傅里叶红外光谱（FTIR）技术结合主成分分析（PCA）和聚类分析（HCA）对康乃馨品种进行鉴别是一种可行的方法。In order to distinguish 8 kinds of carnation, 40 samples were studied by fourier transform infrared（FTIR） spectroscopy combined with principal component analysis（PCA） and hierarchical cluster analysis（HCA）. The result showed that, the infrared spectra of 8 kinds of carnation were similar, but significantdifferences in wave-numbers and absorption intensities of peaks were observed in the range of 1800-700 cm-1.The second derivative spectra in the range of 1800-700 cm- 1were selected to perform principal componentanalysis（PCA） and hierarchical cluster analysis（HCA）. The contributing rates of the first three principalcomponents had reached 96.2%. The classification accuracy of PCA and HCA was 95% and 100%,respectively. It is demonstrated that fourier transform infrared spectroscopy combined with principalcomponent analysis（PCA） and hierarchical cluster analysis（HCA） could be used as a means for theidentification of different carnation varieties.

关 键 词：傅里叶红外光谱 康乃馨 主成分分析 聚类分析 

分 类 号：O675.3[理学—化学]