论文部分内容阅读
利用傅里叶变换红外光谱对6种菜豆(白芸豆、奶花芸豆、黑芸豆、雀蛋豆、紫花芸豆,红小豆)进行鉴别研究。测试了6种菜豆36个样品的红外光谱,结果表明:6种不同品种菜豆的红外图相似,仅在1 800~800cm-1范围内红外光谱的峰位、峰形及吸收强度有一些微小差异。对原始光谱作二阶导数光谱处理,在1 800~800cm-1范围内6种菜豆的二阶导数光谱图差异明显,利用该范围二阶导数光谱数据对6种豆类样品进行主成分分析、聚类分析,前3个主成分分类正确率为97.1%,聚类分析正确率为97.2%。对1 700~1 600cm-1波段范围的原始光谱进行曲线拟合,结果显示,6种菜豆的蛋白质二级结构中α-螺旋含量、β-转角含量、无规则卷曲结构含量和β-折叠含量不同。结果表明傅里叶变换红外光谱技术结合统计分析的方法可以把不同品种的菜豆区分开来。
Identification of 6 kinds of kidney beans (white kidney beans, milk kidney beans, black kidney beans, birdwaters, purple kidney beans, red beans) was conducted by using Fourier transform infrared spectroscopy. The infrared spectra of 36 samples of 6 kinds of kidney beans were tested. The results showed that infrared spectra of 6 kinds of bean varieties were similar. There were some slight differences in peak position, peak shape and absorption intensity of infrared spectra in the range of 1 800 ~ 800 cm-1 . The second derivative spectra of the original spectra showed that there were obvious differences in the second derivative spectra of the six kinds of kidney beans in the range of 1 800-800 cm-1. The principal component analysis of the six kinds of legumes was conducted by using the second- Cluster analysis, the first three principal component classification accuracy was 97.1%, cluster analysis accuracy was 97.2%. Curve fitting of the original spectra in the band from 1 700 to 1 600 cm-1 showed that the α-helix content, β-turn content, random curly structure content and β-sheet content different. The results show that Fourier transform infrared spectroscopy combined with statistical analysis of different varieties of bean can be distinguished.