Classification of phyto-pathogens using infrared spectroscopy and advanced computerized methods

Ahmad Salman, Elad Shufan, Leah Tsror, Raymond Moreh, Mahmoud Huleihel, Shaul Mordechai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Fungi are serious pathogens for many plants and crops, potentially causing severe economic loss. Early detection and identification of these pathogens is crucial for their timely control. Currently existing methods available for identification of fungi are time consuming, expensive and not always very specific. We used Fourier Transform InfraRed spectroscopy (FTIR) attenuated total reflectance (ATR), combined with Principal Component Analysis (PCA), and Linear Discriminant Analysis (LDA), for differentiating fungal phyto-pathogens at the isolate level. Four different fungi genera were investigated; Colletotrichum, Verticillium, Fusarium and Rhizoctoniai. Our main goal was to differentiate these fungi samples at the level of isolates, based on their infrared (IR) fingerprint absorption spectra. Based on our computerized and objective analyses, our results are in high compliance with existing biological classification methods. FTIR, combined with advanced computerized methods, provides an inexpensive and reagentfree technique that delivers accurate results on fungi classification within few minutes. FTIR may also turn out to be an important in situ and in vivo alternative diagnostic tool in agricultural. At the generic level, the identification success rate was 97.5% using five principal components (PCs), while at the isolates level the identification success rates were 97.1%, 90%, and 89%, respectively, for Verticillium dahliae, Colletotrichum coccodes, and Fusarium oxysporum.

Original languageEnglish
Title of host publicationIMETI 2013 - 6th International Multi-Conference on Engineering and Technological Innovation, Proceedings
Pages14-19
Number of pages6
StatePublished - 1 Dec 2013
Event6th International Multi-Conference on Engineering and Technological Innovation, IMETI 2013 - Orlando, FL, United States
Duration: 9 Jul 201312 Jul 2013

Publication series

NameIMETI 2013 - 6th International Multi-Conference on Engineering and Technological Innovation, Proceedings

Conference

Conference6th International Multi-Conference on Engineering and Technological Innovation, IMETI 2013
Country/TerritoryUnited States
CityOrlando, FL
Period9/07/1312/07/13

Keywords

  • Colletotrichum coccodes
  • FTIR-ATR
  • Fungal detection
  • Fusarium oxysporum
  • LDA
  • PCA
  • Rhizoctonia solani
  • Verticillium dahliae

Fingerprint

Dive into the research topics of 'Classification of phyto-pathogens using infrared spectroscopy and advanced computerized methods'. Together they form a unique fingerprint.

Cite this