Utilization of atmospheric solids analysis probe mass spectrometry for analysis of fatty acids on seed surface
Jazyk angličtina Země Německo Médium print-electronic
Typ dokumentu časopisecké články
Grantová podpora
IGA_PrF_2018_027
Univerzita Palackého v Olomouci
CZ.02.1.01/0.0/0.0/16_019/0000754
Operational Programme Research, Development and Education - European Regional Development Fund
PubMed
30617396
DOI
10.1007/s00216-018-1551-3
PII: 10.1007/s00216-018-1551-3
Knihovny.cz E-zdroje
- Klíčová slova
- Atmospheric solids analysis probe, Fatty acid, Legume seed, Mass spectrometry, Pea, Physical dormancy,
- MeSH
- design vybavení MeSH
- hmotnostní spektrometrie přístrojové vybavení MeSH
- hrách setý chemie MeSH
- mastné kyseliny analýza MeSH
- semena rostlinná chemie MeSH
- spektrometrie hmotnostní - ionizace laserem za účasti matrice přístrojové vybavení MeSH
- Publikační typ
- časopisecké články MeSH
- Názvy látek
- mastné kyseliny MeSH
Atmospheric solids analysis probe mass spectrometry (ASAP-MS) was used for the first time for direct surface analysis of plant material. It can be readily used for surface analysis of whole and intact pea seeds and their seed coats, and for the study of the profile of fatty acids on the outer surface. Furthermore, ASAP-MS in combination with multivariate statistics allowed classification of pea genotypes with respect to physical dormancy and investigation of related biological markers. Hexacosanoic and octacosanoic acids were suggested to be important markers likely influencing water transport through the seed coat into the embryo (with the highest significance for dormant L100 genotype). ASAP-MS provided higher selectivity and better signal of fatty acids compared to (MA)LDI-MS (laser desorption ionization mass spectrometry either matrix free or matrix assisted) providing on the other hand spatial distribution information and results obtained by both methods are mutually supportive. The developed ASAP-MS method and obtained results can be widely utilized in biological, food, and agricultural research. Graphical abstract ᅟ.
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