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Identification of fungal phytopathogens using Fourier transform infrared-attenuated total reflection spectroscopy and advanced statistical methods.
MedLine Citation:
PMID:  22352668     Owner:  NLM     Status:  In-Data-Review    
The early diagnosis of phytopathogens is of a great importance; it could save large economical losses due to crops damaged by fungal diseases, and prevent unnecessary soil fumigation or the use of fungicides and bactericides and thus prevent considerable environmental pollution. In this study, 18 isolates of three different fungi genera were investigated; six isolates of Colletotrichum coccodes, six isolates of Verticillium dahliae and six isolates of Fusarium oxysporum. Our main goal was to differentiate these fungi samples on the level of isolates, based on their infrared absorption spectra obtained using the Fourier transform infrared-attenuated total reflection (FTIR-ATR) sampling technique. Advanced statistical and mathematical methods: principal component analysis (PCA), linear discriminant analysis (LDA), and k-means were applied to the spectra after manipulation. Our results showed significant spectral differences between the various fungi genera examined. The use of k-means enabled classification between the genera with a 94.5% accuracy, whereas the use of PCA [3 principal components (PCs)] and LDA has achieved a 99.7% success rate. However, on the level of isolates, the best differentiation results were obtained using PCA (9 PCs) and LDA for the lower wavenumber region (800-1775  cm(-1)), with identification success rates of 87%, 85.5%, and 94.5% for Colletotrichum, Fusarium, and Verticillium strains, respectively.
Ahmad Salman; Itshak Lapidot; Ami Pomerantz; Leah Tsror; Elad Shufan; Raymond Moreh; Shaul Mordechai; Mahmoud Huleihel
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of biomedical optics     Volume:  17     ISSN:  1560-2281     ISO Abbreviation:  J Biomed Opt     Publication Date:  2012 Jan 
Date Detail:
Created Date:  2012-02-22     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9605853     Medline TA:  J Biomed Opt     Country:  United States    
Other Details:
Languages:  eng     Pagination:  017002     Citation Subset:  IM    
SCE-Sami Shamoon College of Engineering, Department of Physics, Beer-Sheva 84100, Israel.
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