为了研究傅里叶变换红外光谱在杂交玉米品质评定上的可行性, 使用傅里叶变换红外光谱仪获得五种杂交玉米籽粒的光谱。 1 776～952 cm-1范围内的光谱主要由蛋白质、 淀粉和油脂的红外吸收带组成, 淀粉的吸收带较为强烈, 蛋白质和油脂的吸收带稍弱。 该范围光谱中特征吸收带相互重叠, 导致一些重要信息被掩盖。 通过对1 776～952 cm-1范围内的红外光谱进行曲线拟合分析, 发现1 051和1 548 cm-1吸收子峰的面积在1 776～952 cm-1范围内吸收带总面积中占的百分比与玉米籽粒中淀粉和蛋白质的含量存在着线性关系。 研究结果显示傅里叶变换红外光谱结合曲线拟合分析技术可用以分析杂交玉米籽粒中淀粉和蛋白质的含量, 为玉米品质的快速评定提供一种方法。

The aim of this work was to study the feasibility of evaluating quality of corn kernels using Fourier transform infrared(FTIR) spectroscopy. The spectra of five kinds of hybrid corn kernels were obtained by infrared spectrometer rapidly. The infrared spectrum between 1 776 and 952 cm-1 was composed of absorption bands of protein, starch and lipid mainly. The absorption band of starch was strong, and the band of protein was weak. The characteristic bands of starch, protein and lipid were highly overlapped, and main information was concealed. Curve-fitting the spectrum between 1 776 and 952 cm-1, significant information was presented. The percentage of band area at 1 051 and 1 548 cm-1 in total band area has a linear relationship with the concentration of starch and protein. The results showed that Fourier transform infrared spectroscopy combined with curve-fitting could be used to analyse the concentration of starch and protein in corn kernel, and provides a rapid and convenient method to study hybrid corn.