数字农科院2.0

Identification of Different Citrus sinensis (L.) Osbeck Trees Varieties Using Fourier Transform Infrared Spectroscopy and Hierarchical Cluster Analysis

文献类型： 外文期刊

作者： Yi Shi-lai;Deng Lie;He Shao-lan;Zheng Yong-qiang;Lu Qiang;Xie Rang-jin;Wei Xian-guo;Li Song-wei;Jian Shui-xian;Shi You-ming

作者机构：

关键词： OsbeckFourier transform infrared spectroscopy;Citrus sinensis (L.) Osbeck;Hierarchical cluster analysis;Identification

期刊名称： SPECTROSCOPY AND SPECTRAL ANALYSIS

ISSN： 1000-0593

年卷期： 2012 年 32 卷 11 期

页码：

收录情况： SCI

摘要： Researched on diversity of the spring leaf samples of seven different Citrus sinensis (L.) Osbeck varieties by Fourier transform infrared (FTIR) spectroscopy technology, the results showed that the Fourier transform infrared spectra of seven varieties leaves was composited by the absorption band of cellulose and polysaccharide mainly, the wave number of characteristics absorption peaks were similar at their FTIR spectra. However, there were some differences in shape of peaks and relatively absorption intensity. The conspicuous difference was presented at the region between 1 500 and 700 cm(-1) by second derivative spectra. Through the hierarchical cluster analysis(HCA) of second derivative spectra between 1 500 and 700 cm(-1), the results showed that the clustering of the different varieties of Citrus sinensis (L.) Osbeck varieties was classification according to genetic relationship. The results showed that FTIR spectroscopy combined with hierarchical cluster analysis could be used to identify and classify of citrus varieties rapidly, it was an extension method to study on early leaves of varieties orange seedlings.

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