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[目的]研究玉米胚乳胚芽的傅里叶变换红外光谱,为鉴别不同种类玉米提供科学手段。[方法]利用傅里叶变换红外光谱技术,结合系统聚类分析对3种类型的玉米实体样本的胚乳胚芽进行研究。[结果]原始红外光谱700~1800 cm-1总体特征相似,主要是由多糖、蛋白质、脂类等吸收谱峰组成,在此范围内三种样本的原始光谱存在微小的差异。对光谱进行一阶导数和二阶导数处理,用二阶导数光谱进行系统聚类分析(HCA),结果表明二阶导数光谱700~1800 cm-1范围按玉米胚芽和胚乳样本聚类效果较好,52个样本能按3个种类很好地聚类,分类正确率达96.1%。[结论]红外光谱结合系统聚类分析方法可用于鉴别不同种玉米胚乳胚芽,具有方便、快速的优点。
[Objective] The research aimed to study the Fourier transform infrared spectroscopy of corn embryo germ and provide scientific methods for identifying different kinds of corn. [Method] The endosperm embryos of three types of maize samples were studied by Fourier transform infrared spectroscopy (FTIR) and cluster analysis. [Result] The original infrared spectrum of 700-1800 cm-1 was similar in overall characteristics, mainly composed of the absorption peaks of polysaccharides, proteins and lipids. There were slight differences in the original spectra of the three samples in this range. The first derivative and the second derivative of the spectra were processed. The second order derivative spectra were used for cluster analysis (HCA). The results showed that the clustering results of the second derivative spectra in the range of 700-1800 cm-1 by corn germ and endosperm samples were better , 52 samples can be well clustered according to 3 species, the correct classification rate of 96.1%. [Conclusion] The method of infrared spectrum combined with phylogenetic analysis could be used to identify the germ of different kinds of maize endosperm with the advantages of convenience and speediness.