CEEPC/IPM/CMSC - Abstrakt prezentace

(CEEPC/IPM/CMSC 2022 - FrP-12)
Pea Seed Metabolite Profiling Using Combined GC/MS and PyGC-MS Analysis

Jana Nádvorníková 1 *, Petra Krejčí 1, Zbyněk Žingor 1, Štěpán Dostál 1, Dominika Vysloužilová 1, Petr Bednář 1, Petr Barták 1

  1. Univerzita Palackého v Olomouci

Abstrakt

A new method of metabolite profiling of hard-to process seed microsamples using combined GS/MS and PyGC-MS analysis is presented. Certain types of sturdy plant microsamples frequently pose a significant challenge for metabolite profiling analysis. [1] Generally, that is due to their resistance against standard sample preparation and metabolite extraction methods and due to the incomplete coverage of metabolite types the usable methods can provide. [2] The advantage of the described method is the capitalization on the combined sample preparation protocol and the complementary information from both GC methods applied to different matrices produced during the extraction process and thus provide a more complete metabolic profile. The method is demonstrated on analysis of seed coat and hilum of two pea genotypes. It enabled the detection of numerous metabolite products both non-polar (wide range of short- and long-chain fatty acids and several phytosterols, namely β-sitosterol, campesterol, isofucosterol etc.) and polar (sugars, sugar alcohols, organic acids, amino acids, and few phenolic compounds such as epigallocatechin) from one piece of pea seed microsample. This protocol involves one-step reaction for preparing fatty acid methyl esters using rapid methanolysis/methylation procedure, which also substitutes the often costly or complex conventional additional derivatization steps otherwise required for GC/MS of fatty acids. The effects and dynamics of various degradation processes (such as ozonation or exposure to heat, UV rays and hydrogen peroxide) on the metabolic profile were also examined.

* Korespondující autor: JNadvornikova@centrum.cz

Literatura

  1. P. Krejčí , M. Zajacová Cechová, J. Nádvorníková, P. Barták, L. Kobrlová, J. Balarynová, P. Smýkal, P. Bednář, Talanta 242 (2022) 123303.
  2. M. Cechová, M. Válková, I. Hradilová, A. Janská, A. Soukup, P. Smýkal, P. Bednář, Int. J. Mol. Sci. 18 (2017) 2196.

Poděkování:

OP RDE project DSGC-2021-0102, entitled “Multimodal analysis of plant metabolites and their degradation products in microsamples” (CZ.02.2.69/0.0/0.0/19_073/0016713) is gratefully acknowledged.


Partneři společnosti

LabRules LCMS LabRules GCMS

Partneři

Bruker HPST Merck Pragolab Amedis EastPort Shimadzu Waters