Identification of fusarium by fourier transform infrared spectroscopy

被引:0
|
作者
机构
来源
Guang Pu Xue Yu Guang Pu Fen Xi | 2007年 / 8卷 / 1519-1522期
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Fourier transform infrared (FTIR) spectroscopy, in combination with multi-variate statistics, has been a novel tool to identify and classify microorganisms in recent years. In the present study, Fourier transform infrared spectroscopy was used to identify Fusarium belonging to F. oxysporum, F. moniliforme, F. graminearum, F. semitectum, and F. rnvale . Distinct spectral differences among these strains were observed from their high-resolution and well-reproducibility infrared spectra in the frequency regions of 3000-2800 cm-1, 1800-1600 cm-1, and fingerprint region. According to the characteristic bands in these regions, different Fusarium species could be identified. And identification by hierarchical cluster analysis was more scientific and reasonable and it also presented a degree of comparability among these strains. But the result was not becoming on reflecting the characteristic of cladistics. FTIR shows high potential as a rapid, accurate and easy-to-use method for the identification of microorganisms. It will be an important tool in microbiological studies.
引用
收藏
相关论文
共 50 条
  • [1] Identification of fusarium by Fourier transform infrared spectroscopy
    Nie, Ming
    Luo, Jiang-lan
    Bao, Kan
    Zhang, Wei-qiong
    Yang, Shi-ping
    Xiao, Ming
    Li, Bo
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27 (08) : 1519 - 1522
  • [2] Identification of Musk by Fourier Transform Infrared Spectroscopy
    Zhou Jian
    Jin Cheng
    Luo Yun
    Wu Yan-wen
    Li Jian-yu
    Luo Yong-ming
    Xiao Xiao-he
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2010, 30 (09) : 2368 - 2371
  • [3] Identification of Amanita mushrooms by Fourier transform infrared spectroscopy
    Zhao, Dezhang
    Liu, Gang
    Song, Dingshan
    Liu, Jian-hong
    Zhou, Yilan
    Ou, Jiaming
    Sun, Shizhong
    FOURTH INTERNATIONAL CONFERENCE ON PHOTONICS AND IMAGING IN BIOLOGY AND MEDICINE, PTS 1 AND 2, 2006, 6047
  • [4] Identification of edible mushrooms by Fourier transform infrared spectroscopy
    Liu, G
    Liu, JH
    Yang, AM
    Dong, Q
    Song, DS
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2004, 24 (08) : 941 - 945
  • [5] Pollen Identification by Fourier Transform Infrared Photoacoustic Spectroscopy
    Parodi, George
    Dickerson, Pearl
    Cloud, Jacqueline
    APPLIED SPECTROSCOPY, 2013, 67 (03) : 342 - 348
  • [6] IDENTIFICATION OF MICROORGANISMS BY FOURIER-TRANSFORM INFRARED SPECTROSCOPY
    Suntsova, A. Yu
    Guliev, R. R.
    Popov, D. A.
    Vostrikova, T. Yu
    Dubodelov, D., V
    Shchegolikhin, A. N.
    Laypanov, B. K.
    Priputnevich, T., V
    Shevelev, A. B.
    Kurochkin, I. N.
    BULLETIN OF RUSSIAN STATE MEDICAL UNIVERSITY, 2018, (04): : 57 - 65
  • [7] Identification of plastics by Fourier transform Raman and infrared spectroscopy
    Dou Yanli
    Zhang Wanxi
    Zhang Yujie
    Zhou Hua
    Wang Dongmei
    Xu Jingwei
    CHINESE JOURNAL OF ANALYTICAL CHEMISTRY, 2006, 34 (11) : 1615 - 1618
  • [8] Rapid and non-destructive identification of calligraphies by Fourier transform infrared spectroscopy and Fourier transform Raman spectroscopy
    Na, N
    Ouyang, QM
    Qiao, YQ
    Jin, OY
    Wang, YH
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2004, 24 (11) : 1327 - 1330
  • [9] INFRARED FOURIER TRANSFORM SPECTROSCOPY
    LOW, MJD
    ANALYTICAL CHEMISTRY, 1969, 41 (06) : A97 - &
  • [10] Identification of sulphur residue in chrysanthemum by Fourier transform infrared spectroscopy
    Zhao Hua-rong
    Wen Shu-min
    Feng Ya-qi
    Wang Xiao-yan
    Chen Guan-hua
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27 (06) : 1110 - 1112