利用傅里叶红外光谱技术结合主成分分析和二维相关红外光谱技术对8种不同品种月季花叶片进行鉴别分析。月季花叶片的红外光谱整体相似，但是二阶导数光谱在1800～700 cm-1区域有较大差异，选取该范围二阶导数光谱用SPSS软件进行主成分分析。主成分分析前三个主成分占总方差的贡献率为97.72%，分类正确率达到95%。二维相关光谱在1500~1275 cm-1和1700~1520 cm-1范围内，不同品种月季花叶片的自动峰、交叉峰的强度和位置具有显著的差异。结果表明：应用傅里叶红外光谱结合主成分分析及二维相关红外光谱技术通过叶片的光谱可以快速有效地区分不同品种的月季花。

Fourier transform infrared spectroscopy (FTIR) combined with principal component analysis (PCA) and two-dimensional correlation infrared spectroscopy is applied to identify eight different varieties of Chinese rose leaves. The results show that the spectra of different varieties of rose leaves are similar, but there are obvious differences in second derivative spectra in the range of 1800~700 cm-1 which are selected to perform principal component analysis by SPSS software. The first three principal components have a cumulative contribution rate of 97.72% and yield classification accuracies of 95%. Two-dimensional correlation infrared spectroscopy is applied to study Chinese rose leaves. The significant differences in the position, intensity of auto-peaks and cross peaks are observed in the range of 1500~1275 cm-1and 1700~1520 cm-1. It is demonstrated that FTIR combined with principal component analysis and two-dimensional correlation infrared spectroscopy is a rapid and effective method for discriminating Chinese roses.