Identification of fungal phytopathogens using Fourier transform infrared-attenuated total reflection spectroscopy and advanced statistical methods

Journal of Biomedical Optics
Ahmad SalmanMahmoud Huleihel

Abstract

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...Continue Reading

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Citations

Dec 3, 2014·Journal of Photochemistry and Photobiology. B, Biology·A PomerantzM Huleihel
Jun 28, 2015·International Journal of Biological Macromolecules·Gordon Karikoga GombaJana Čopíková
Jan 28, 2017·World Journal of Gastroenterology : WJG·Ranjit Kumar SahuShaul Mordechai
Sep 30, 2021·Analytical Chemistry·Uraib SharahaMahmoud Huleihel

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