8种康乃馨的FTIR研究

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。

Discrimination of Eight Carnations by FTIR Spectroscopy

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 significant differences 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^-1 were selected to perform principal component analysis (PCA) and hierarchical cluster analysis (HCA). The contributing rates of the first three principal components 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 principal component analysis (PCA) and hierarchical cluster analysis (HCA) could be used as a means for the identification of different carnation varieties.