Collection, Identification, and Statistical Analysis of Volatile Organic Compound Patterns Emitted by Phytoplasma Infected Plants

Methods Mol Biol. 2019:1875:333-343. doi: 10.1007/978-1-4939-8837-2_25.

Abstract

In this chapter, we give an introduction to innovative attempts for the collection, identification, and statistical analysis of volatile organic compound (VOC) patterns emitted by phytoplasma-infected plants compared to healthy plants by the use of state-of-the-art techniques. This encompasses headspace-sampling techniques, gas chromatography coupled with mass spectrometry, and identification of VOC patterns by the "Automated Mass Spectral Deconvolution and Identification System" (AMDIS) followed by appropriate statistical analysis.

Keywords: AMDIS; Compositional dataset; Gas chromatograph/mass spectrometer; Headspace sampling; Non-metric multidimensional scaling; Principal component analysis; Thermodesorption.

MeSH terms

  • Gas Chromatography-Mass Spectrometry
  • Phytoplasma / pathogenicity*
  • Plants / chemistry*
  • Plants / microbiology
  • Principal Component Analysis
  • Software
  • Volatile Organic Compounds / analysis*

Substances

  • Volatile Organic Compounds