光谱学与光谱分析, 2012, 32 (11): 3006, 网络出版: 2012-11-22  

FTIR光谱结合系统聚类分析的甜橙树苗鉴别研究

Identification of Different Citrus sinensis(L.) Osbeck Trees Varieties Using Fourier Transform Infrared Spectroscopy and Hierarchical Cluster Analysis
作者单位
1 西南大学-中国农业科学院柑桔研究所, 重庆400712
2 曲靖师范学院物理与电子工程学院, 云南 曲靖655011
摘要
利用傅里叶变换红外光谱技术研究了7个不同甜橙树苗春梢叶片样品的红外光谱特征, 结果表明, 7个甜橙品种叶片样品的傅里叶变换红外光谱主要由纤维素和多糖的吸收带组成, 其特征吸收峰频率位置基本一致, 但在峰形、 峰相对吸收强度上存在一定差异, 尤其在1 500~700 cm-1范围内的差异较为明显。 通过对1 500~700 cm-1范围内的二阶导数光谱进行系统聚类分析, 结果显示系统聚类分析能把不同甜橙品种按亲缘关系远近进行聚类, 实现对甜橙品种的快速鉴别与分类。 因此, 利用傅里叶变换红外光谱技术结合系统聚类分析对柑橘品种快速鉴别与分类具有一定的可行性, 可作为甜橙苗早期品种鉴别的一种扩展手段。
Abstract
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.

易时来, 邓烈, 何绍兰, 时有明, 郑永强, 吕强, 谢让金, 韦献果, 李松伟, 简水仙. FTIR光谱结合系统聚类分析的甜橙树苗鉴别研究[J]. 光谱学与光谱分析, 2012, 32(11): 3006. YI Shi-lai, DENG Lie, HE Shao-lan, SHI You-ming, ZHENG Yong-qiang, L Qiang, XIE Rang-jin, WEI Xian-guo, LI Song-wei, JIAN Shui-xian. Identification of Different Citrus sinensis(L.) Osbeck Trees Varieties Using Fourier Transform Infrared Spectroscopy and Hierarchical Cluster Analysis[J]. Spectroscopy and Spectral Analysis, 2012, 32(11): 3006.

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