Modeling of the Triacylglycerol Stereospecific Composition of Vegetable Oils: I. Comparison of Models for Triacylglycerol Assembly.
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985858%3A_____%2F22%3A00545954" target="_blank" >RIV/67985858:_____/22:00545954 - isvavai.cz</a>
Výsledek na webu
<a href="http://hdl.handle.net/11104/0323813" target="_blank" >http://hdl.handle.net/11104/0323813</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/ejlt.202000392" target="_blank" >10.1002/ejlt.202000392</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Modeling of the Triacylglycerol Stereospecific Composition of Vegetable Oils: I. Comparison of Models for Triacylglycerol Assembly.
Popis výsledku v původním jazyce
Stereospecific composition of triacylglycerols (TAGs) is calculated for a set of analytical data on genetically modified sunflower and soybean seed oils, using different mathematical models for TAG assembly. The models are related to biochemical pathways. The data (Reske et al., JAOCS 74 (1997) 989–998) consist of total fatty acid profiles, fatty acid proportion in the sn-positions of TAGs, and TAG composition determined by HPLC analysis without distinguishing isomers. Besides the 1-random, 2-random, 3-random models, a DAG-random, 3-random model is examined, the parameters of which are estimates of mole fractions of sn-1,2-diacylglycerols (sn-1,2-DAGs) before esterification at the sn-3 position. Combining the last named model with correlations of fatty acid proportions in the sn-positions and overall fatty acid composition, triacylglycerol stereospecific composition can be estimated from the TAG composition determined by HPLC. The deviation of the estimates from analytical characteristics of oils (fatty acid distribution and TAG composition) is less than the deviation of results of the Vander Wal model. Practical Applications: It can be expected that the DAG-random, 3-random model with arbitrarily adjustable distribution of acyls in sn-1,2-diacylglycerols can reflect the composition of TAGs rich in polyunsaturated fatty acids better than previously used models. The reason is that it can reflect acyl editing in phosphatidylcholine pool of seed cells, while the 1-random, 2-random, 3-random models correspond to simple Kennedy pathway of oil biosynthesis.
Název v anglickém jazyce
Modeling of the Triacylglycerol Stereospecific Composition of Vegetable Oils: I. Comparison of Models for Triacylglycerol Assembly.
Popis výsledku anglicky
Stereospecific composition of triacylglycerols (TAGs) is calculated for a set of analytical data on genetically modified sunflower and soybean seed oils, using different mathematical models for TAG assembly. The models are related to biochemical pathways. The data (Reske et al., JAOCS 74 (1997) 989–998) consist of total fatty acid profiles, fatty acid proportion in the sn-positions of TAGs, and TAG composition determined by HPLC analysis without distinguishing isomers. Besides the 1-random, 2-random, 3-random models, a DAG-random, 3-random model is examined, the parameters of which are estimates of mole fractions of sn-1,2-diacylglycerols (sn-1,2-DAGs) before esterification at the sn-3 position. Combining the last named model with correlations of fatty acid proportions in the sn-positions and overall fatty acid composition, triacylglycerol stereospecific composition can be estimated from the TAG composition determined by HPLC. The deviation of the estimates from analytical characteristics of oils (fatty acid distribution and TAG composition) is less than the deviation of results of the Vander Wal model. Practical Applications: It can be expected that the DAG-random, 3-random model with arbitrarily adjustable distribution of acyls in sn-1,2-diacylglycerols can reflect the composition of TAGs rich in polyunsaturated fatty acids better than previously used models. The reason is that it can reflect acyl editing in phosphatidylcholine pool of seed cells, while the 1-random, 2-random, 3-random models correspond to simple Kennedy pathway of oil biosynthesis.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20401 - Chemical engineering (plants, products)
Návaznosti výsledku
Projekt
<a href="/cs/project/GA19-19245S" target="_blank" >GA19-19245S: Studie biokatalýzy v superkritickém oxidu uhličitém: obohacení rostlinných olejů esenciálními mastnými kyselinami</a><br>
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
European Journal of Lipid Science and Technology
ISSN
1438-7697
e-ISSN
1438-9312
Svazek periodika
124
Číslo periodika v rámci svazku
3
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
11
Strana od-do
2000392
Kód UT WoS článku
000697913000001
EID výsledku v databázi Scopus
2-s2.0-85115055761