利用FTIR技术结合2D-IR技术对病害苹果进行鉴别研究。原始红外光谱趋势类似,由糖类、蛋白质以及酚类等组成。导数光谱在1800cm^-1至700cm^-1区域差别较大,并利用软件在该区域进行分析,发现病变果与相对于正常果蛋白质以及糖的含量发生变化。2D-IR在1020-1至1140cm^-1以及1400-1至1710cm^-1范围内,苹果的吸收峰(自动峰、交叉峰)的强度和位置有较大的差异,也可分析出蛋白质以及糖类发生变化。结果表明:应用FTIE技术结合2D-IR技术可以快速有效鉴别出病变果与正常果的区别。
Fourier transform infrared spectroscopy (FTIR) combined with two-dimensional correlation infrared spectroscopy was used to identify apple diseases. The results show that the spectra of apple were similar, which were mainly composed of carbohydrates, proteins and phenols. There were obvious differences in second derivative spectra at the range of 1800 -700 cm^-1 , which were analysed in detail. The results indicated that the protein and carbohydrates of bad apple changes have some compared with that of good apple. The significant differences in the position, intensity of auto-peaks and cross peaks were observed by two-dimensional correlation spectroscopy at the range of 1020 - 1140cm^-1 and 1400 - 1710 cm^-1. The results demonstrated that Fourier transform infrared spectroscopy combined with two-dimensional correlation infrared spectroscopy can quickly diagnose the difference of good and bad apple.