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Metabolomic profiling of plant tissues.
José L Rambla1, M P López-Gresa, J M Bellés
1Instituto de Biología Molecular y Celular de Plantas, CSIC - Universidad Politécnica de Valencia, Ingeniero Fausto Elio s/n., 46022, Valencia, Spain.
Methods in Molecular Biology (Clifton, N.J.)
|March 12, 2015
Summary
This study presents two distinct metabolomics techniques for comprehensive plant metabolite profiling. One method analyzes polar and semi-polar compounds, while the other targets volatile compounds for flavor analysis.
Area of Science:
- Plant Science
- Analytical Chemistry
- Biochemistry
Background:
- Metabolomics offers a global analysis of metabolites in biological systems.
- Plant metabolites exhibit diverse properties, necessitating multiple analytical methods.
- Understanding plant metabolites is crucial for stress response and flavor research.
Purpose of the Study:
- To describe two distinct techniques for comprehensive plant metabolite profiling.
- To analyze polar, semi-polar, and volatile plant metabolites.
- To support research on plant stress responses and food flavor.
Main Methods:
- Polar and semi-polar metabolites: Methanol extraction, Ultra-Performance Liquid Chromatography (UPLC) separation, UV-VIS (PDA) and Time-Of-Flight (ToF) mass spectrometry detection.
- Volatile compounds: Headspace Solid-Phase Microextraction (HS-SPME) extraction, Gas Chromatography-Mass Spectrometry (GC-MS) separation and detection.
- Utilized complementary analytical approaches to cover a broad spectrum of plant metabolites.
Main Results:
- Successfully profiled both polar/semi-polar and volatile plant metabolites using the described methods.
- Demonstrated the capability of UPLC-PDA-ToF MS for non-volatile compounds.
- Showcased the efficacy of HS-SPME-GC-MS for volatile compound analysis.
Conclusions:
- Two complementary techniques enable comprehensive profiling of diverse plant metabolites.
- These methods are essential for investigating plant stress physiology and food aroma.
- The described approach advances metabolomic capabilities in plant science.
