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Utilization of atmospheric solids analysis probe mass spectrometry for analysis of fatty acids on seed surface

M. Cechová, I. Hradilová, P. Smýkal, P. Barták, P. Bednář,

. 2019 ; 411 (6) : 1169-1180. [pub] 20190107

Jazyk angličtina Země Německo

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/bmc19011980
E-zdroje Online Plný text

NLK ProQuest Central od 2011-01-01 do Před 1 rokem
Medline Complete (EBSCOhost) od 2003-01-01 do Před 1 rokem
Health & Medicine (ProQuest) od 2011-01-01 do Před 1 rokem

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.

Citace poskytuje Crossref.org

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$a 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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