基于傅里叶变换红外光谱的土传真菌分类研究

Identification of Soil-Borne Fungi Using Fourier Transform Infrared Spectroscopy

应用FTIR-ATR光谱技术与多元统计分析相结合的方法对镰刀菌、立枯丝核菌、核盘菌、瓜果腐霉菌和辣椒疫霉菌等重要的土传致病真菌进行鉴别。对测得的FTIR光谱进行了归一化和二阶求导处理,选择了适合于真菌分类识别的14个光谱特征波段。在此基础上,采用典型判别分析和系统聚类分析对不同菌株进行了识别。结果表明,不同菌种间识别准确率达到100%,而镰刀菌种内不同菌株间识别准确率为95.56%,说明傅里叶变换红外光谱技术在植物病原真菌分类识别方面具有较大的应用潜能。

Fourier transform infrared（FTIR） attenuated total reflectance（ATR） spectroscopy was used in combination with multivariate statistic analysis for identification of soil-borne fungi that causes severe economic damage to agriculture： Fusarium moniliforme,Fusarium semitectum,Fusarium oxysporum,Fusarium solani,Rhizoctonia solani,Sclerotinia sclerotiorum,Pythium aphanidermatum and Phytophthora capsici.The original FTIR spectra were normalized,and the second derivatives were calculated,from which the peak wave numbers showing greatest variability were selected： 2 924,2 854,1 745,1 641,1 547,1 466,1 406,1 376,1 306,1 240,1 201,1 152,1 109 and 1 028 cm-1.To discriminate different fungal strains,canonical discriminant analysis and cluster analysis were performed at these characteristic wave numbers.Results showed that the classification accuracies achieved 100% for different species of fungi,and classification accuracies for different fusarium strains achieved 95.56%,demonstrating the high potential of this technique for fungi identification.