title: [Identification of soil-borne fungi using Fourier transform infrared spectroscopy].
abstract: 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 monili forme, 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: 2924, 2854, 1745, 1641, 1547, 1466, 1406, 1376, 1306, 1240, 1201, 1152, 1109 and 1028 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.
authors: Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China. chaiali@163.com
authors: A-Li
authors: AL
authors: Chai
authors: Bao-Ju
authors: BJ
authors: Li
authors: Yan-Xia
authors: YX
authors: Shi
authors: Xue-Wen
authors: XW
authors: Xie
mesh_terms: D000383:Agriculture; D016000:Cluster Analysis; D016002:Discriminant Analysis; D005658:Fungi / Q000145:classification / Q000302:isolation & purification*; D005670:Fusarium; D015999:Multivariate Analysis; D012988:Soil Microbiology; D017550:Spectroscopy, Fourier Transform Infrared