Detection of Fusarium oxysporum fungal isolates using ATR spectroscopy

A. Salman, I. Lapidot, A. Pomerantz, L. Tsror, Z. Hammody, R. Moreh, M. Huleihel, S. Mordechai

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


Fungi are considered as serious pathogens for many plants, potentially causing severe economic damage. Early detection and identification of these pathogens is crucial for their timely control. The methods available for identification of fungi are time consuming and not always very specific. In this study, the potential of FTIR-ATR spectroscopy was examined together with advanced mathematical principle component analysis (PCA) and statistical linear discriminant analysis (LDA) to differentiate among 10 isolates of Fusarium oxysporum. The results are encouraging and indicate that FTIR-ATR can successfully detect different isolates of Fusarium oxysporum. Based on PCA and LDA calculations in the region 850-1775 cm-1 with 16 PCs, the different strains from the same fungal genus could be classified with 75.3 and 69.5% success rates using the 'leave one out' method and '20-80% algorithm' respectively.

Original languageEnglish
Title of host publicationSpectroscopy of Biological Molecules. Proceedings from the 14th European Conference on the Spectroscopy of Biological Molecules 2011
EditorsMaria Marques, Luis Batista de Carvalho, Parvez Haris
Number of pages5
StatePublished - 27 Nov 2013

Publication series

NameAdvances in Biomedical Spectroscopy
ISSN (Print)1875-0656


  • Fusarium
  • LDA
  • PCA
  • fungal detection

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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