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Identification of Plant-Pathogenic Fungi Using Fourier Transform Infrared Spectroscopy Combined with Chemometric Analyses

文献类型： 外文期刊

作者： Chai A-li 1 ; Wang Yi-kai 2 ; Zhu Fa-di 1 ; Shi Yan-xia 1 ; Xie Xue-wen 1 ; Li Bao-ju 1 ;

作者机构： 1.Chinese Acad Agr Sci, Inst Vegetables & Flowers, Beijing 100081, Peoples R China

2.Beijing Entry Exit Inspect & Quarantine Bur, Beijing 100026, Peoples R China

关键词： Fourier transform infrared spectroscopy (FTIR);Plant-pathogenic fungi;Identification;Cluster analysis;Canonical vitiate analysis

期刊名称：SPECTROSCOPY AND SPECTRAL ANALYSIS （ 影响因子：0.589； 五年影响因子：0.504 ）

ISSN： 1000-0593

年卷期： 2016 年 36 卷 11 期

页码：

收录情况： SCI

摘要： Identification of plant-pathogenic fungi is time-consuming due to cultivation and microscopic examination and can be influenced by the interpretation of the micro-morphological characters observed. The present investigation aimed to create a simple but sophisticated method for the identification of plant-pathogenic fungi by Fourier transform infrared (FTIR) spectroscopy. In this study, FTIR-attenuated total reflectance (ATR) spectroscopy was used in combination with chemometric analysis for identification of important pathogenic fungi of horticultural plants. Mixtures of mycelia and spores from 27 fungal strains belonging to nine different families were collected from liquid PD or solid PDA media cultures and subjected to FTIR-ATR spectroscopy measurements. The FTIR-ATR spectra ranging from 4 000 to 400 cm(-1) were obtained. To classify the FTIR-ATR spectra, cluster analysis was compared with canonical vitiate analysis (CVA) in the spectral regions of 3 050 similar to 2 800 and 1 800 similar to 900 cm(-1). Results showed that the identification accuracies achieved 97. 53% and 99. 18% for the cluster analysis and CVA analysis, respectively, demonstrating the high potential of this technique for fungal strain identification.

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