Agricultural Reviews
  • Year: 2025
  • Volume: 46
  • Issue: 6

Mass Spectrometry in Crop Pathogens Diagnosis: A Comprehensive Review

  • Author:
  • Kalaichelvi Kalaignan1, Jeya Rani Maria Michael2, Vinothini Selvaraj3, Shanmugapackiam Subbaiah3, Ehab Abdellah Abdelaziz Salama4, Murali Sankar Perumal3,*
  • Total Page Count: 6
  • Page Number: 922 to 927

1Department of Agronomy, Krishi Vigyan Kendra, Virdhachalam-606 001, Tamil Nadu, India

2Department of Agronomy, Pushkaram College of Agriculture Sciences, Pudukkottai-622 303, Tamil Nadu, India

3Department of Plant Pathology, Pushkaram College of Agriculture Sciences, Pudukkottai-622 303, Tamil Nadu, India

4Department of Agricultural Botany (Genetics), Saba Basha (Faculty of Agriculture), Alexandria University, Alexandria-21531, Egypt

*Corresponding Author: Murali Sankar Perumal, Department of Plant Pathology, Pushkaram College of Agriculture Sciences, Pudukkottai-622 303, Tamil Nadu, India, Email: muralisankar58@gmail.com

Online published on 19 January, 2026.

Abstract

Crop pathogens pose a significant threat to global food security, causing substantial economic losses and food safety concerns. The identification and quantification of compounds produced by these pathogens are crucial for understanding their diagnosis by biochemistry, virulence mechanisms and predict for disease control. Initially, diagnosed by mass spectrometry such as GCMS and LCMS are powerful analytical techniques used for the identification and quantification of compounds in various fields, including environmental science, pharmaceuticals and food analysis. This study aims to explore the application of mass spectrometry for the diagnosis of crop pathogens, focusing on the identification and quantification of volatile organic compounds (VOCs) and secondary metabolites produced by fungal and bacterial pathogens. The study will also evaluate the advantages and disadvantages of GCMS and LCMS for crop pathogen analysis, including sensitivity, resolution, selectivity, range of applications, sample preparation requirements, cost and data interpretation challenges. The results will provide valuable insights into the potential of GCMS and LCMS for crop pathogen diagnosis and highlight areas for further research and development in this field.

Keywords

Agriculture, B. cinerea, F. graminearum, GC-MS, LC-MS, Xanthomonas spp