Application of reflectance spectroscopies (FTIR-ATR & FT-NIR) coupled with multivariate methods for robust in vivo detection of begomovirus infection in papaya leaves

Spectrochim Acta A Mol Biomol Spectrosc. 2018 Jun 5:198:27-32. doi: 10.1016/j.saa.2018.02.065. Epub 2018 Feb 27.

Abstract

Nucleic acid & serology based methods have revolutionized plant disease detection, however, they are not very reliable at asymptomatic stage, especially in case of pathogen with systemic infection, in addition, they need at least 1-2days for sample harvesting, processing, and analysis. In this study, two reflectance spectroscopies i.e. Near Infrared reflectance spectroscopy (NIR) and Fourier-Transform-Infrared spectroscopy with Attenuated Total Reflection (FT-IR, ATR) coupled with multivariate exploratory methods like Principle Component Analysis (PCA) and Partial least square discriminant analysis (PLS-DA) have been deployed to detect begomovirus infection in papaya leaves. The application of those techniques demonstrates that they are very useful for robust in vivo detection of plant begomovirus infection. These methods are simple, sensitive, reproducible, precise, and do not require any lengthy samples preparation procedures.

Keywords: (FT-IR; ATR); Begomoviruses; Near infrared reflectance spectroscopy; Papaya leaves; Principal component analysis (PCA).

MeSH terms

  • Begomovirus / pathogenicity*
  • Carica / virology*
  • Least-Squares Analysis
  • Multivariate Analysis
  • Plant Diseases / virology*
  • Plant Leaves / virology*
  • Principal Component Analysis
  • Remote Sensing Technology
  • Spectroscopy, Fourier Transform Infrared / methods*
  • Spectroscopy, Fourier Transform Infrared / statistics & numerical data
  • Spectroscopy, Near-Infrared / methods