中文摘要：

利用傅里叶变换红外（FTIR）光谱结合主成分分析（PCA）和聚类分析（HCA）方法对8种薯进行了鉴别研究，测试了40个薯样的红外光谱。结果表明，8种薯红外图谱相似，但在1800～700cm^-1范围内,红外光谱的峰位、峰形及强度差异明显。将8种薯的傅里叶变换红外光谱与可溶性淀粉的光谱进行相似性分析，结果显示，相似度从大到小依次为：马铃薯、木薯、薯蓣、毛薯、红薯、姜薯、豆薯、菊薯，表明马铃薯含淀粉量最多，其次是木薯，最少是菊薯。对原始红外光谱作二阶导数处理．并利用1800～700cm^-1范围内的二阶导数光谱数据对8种薯40个样品进行主成分分析和聚类分析,主成分分析前3个主成分的累计贡献率达89．18％，正确率为97．5％．聚类分析正确率为100％。傅里叶变换红外光谱技术结合统计分析的方法可鉴别区分不同种的薯类。

英文摘要：

Eight kinds of root and tuber crops were studied by Fourier transform infrared （FTIR） spectroscopy combined with principal component analysis （PCA） and hierarchical cluster analysis （HCA）.The results showed that the infrared spectra were similar,but differences in position, shape and absorption intensities of peaks were observed in the range of 1 800-700 cm^-1. The similarities of the samples were compared with soluble starch,and the results showed that the order of the similarities from large to small were potato,cassava,Chinese yam,rhizome of winged yam,sweet potatoes,ginger potato, jicama, and yacon. PCA and HCA were performed on the second derivative infrared spectra in the range of 1 800-700 cm^-1 to classify 40 samples of 8 different root and tuber crops.The first three principal components had a cumulative contribution rate of 89.18%, and yield classification accuracy of 97.5%.The hierarchical cluster analysis provided 100% of correct classification.It is proved that FTIR spectroscopy combined with statistical analysis could be used to discriminate root and tuber crops.