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基于傅里叶变换红外光谱和聚类分析的真菌鉴别
作者姓名:Chai AL  Li JP  Shi YX  Xie XW  Li BJ
基金项目:国家(863计划)项目,国家自然科学基金项目,农业部园艺作物遗传改良重点开放实验室项目
摘    要:傅里叶变换衰减全反射红外光谱法(FTIR-ATR)应用于微生物的快速鉴定及分类是近几年发展起来的一门新型技术。该文应用FTIR-ATR光谱法与聚类分析方法相结合对重要的植物病原真菌进行鉴别。在PDA玻璃纸平板上培养了来自14个属的17株真菌,用FTIR-ATR光谱法测其红外光谱,获得了分辨率高、重现性好的真菌红外谱图,分析主要吸收峰的归属,确定了1800~1485,1485~1185与1185~900cm-1三个分析灵敏区,并在此基础上进行了系统聚类分析,使所有测试菌株都得到正确归类。结果表明,傅里叶变换红外光谱技术具有快速、准确、易操作等优点,将成为微生物研究领域的一个重要工具。

关 键 词:傅里叶变换红外光谱  真菌  衰减全反射  聚类分析  鉴别

Identification of fungal strain by Fourier transform infrared spectroscopy and cluster analysis
Chai AL,Li JP,Shi YX,Xie XW,Li BJ.Identification of fungal strain by Fourier transform infrared spectroscopy and cluster analysis[J].Spectroscopy and Spectral Analysis,2010,30(11):2941-2944.
Authors:Chai A-li  Li Jin-ping  Shi Yan-xia  Xie Xue-wen  Li Bao-ju
Institution:Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China. chaiali@163.com
Abstract:Fourier transform attenuated total reflection infrared spectroscopy (FTIR-ATR) has been a novel technical procedure to identify and classify microorganisms in recent years. In the present study, Fourier transform infrared spectroscopy(FTIR) in combination with an attenuated total reflection (ATR) unit were used to discriminate important plant-destroying fungi. Mycelia of 17 fungal strains belonging to 14 different species were grown on potato dextrose agar (PDA) plants and subjected to FTIR-ATR measurements. High-resolution and well-reproducibility infrared spectra were obtained, and significant spectral differences among these strains were observed in the wavenumber regions of 1800-1485 cm(-1), 1485-1185 cm(-1), and 1185-900 cm(-1). According to the characteristic bands in these regions, cluster analysis was executed to classify the FTIR spectra. The result showed that different fungal strains could be identified correctly, demonstrating the high potential of FTIR-ATR as a tool for fungal strain identification and classification. The method is rapid, inexpensive and reproducible, and requires minimum sample preparation.
Keywords:
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