Chiral analysis of beta-methylamino alanine (BMAA) enantiomers after (+)-1-(9-fluorenyl)-ethyl chloroformate (FLEC) derivatization and LC-MS/MS
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18470%2F19%3A50015500" target="_blank" >RIV/62690094:18470/19:50015500 - isvavai.cz</a>
Výsledek na webu
<a href="https://pubs.rsc.org/en/Content/ArticleLanding/2019/AY/C8AY02287A#!divAbstract" target="_blank" >https://pubs.rsc.org/en/Content/ArticleLanding/2019/AY/C8AY02287A#!divAbstract</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1039/c8ay02287a" target="_blank" >10.1039/c8ay02287a</a>
Alternativní jazyky
Jazyk výsledku
čeština
Název v původním jazyce
Chiral analysis of beta-methylamino alanine (BMAA) enantiomers after (+)-1-(9-fluorenyl)-ethyl chloroformate (FLEC) derivatization and LC-MS/MS
Popis výsledku v původním jazyce
beta-Methylamino-L-alanine, a neurotoxin first isolated from the seeds of cycad tree Cycas circinalis, is widely spread in a variety of environments. New sensitive techniques and robust methodologies are needed to detect its presence in complex biological samples and to further understand its biochemical properties. In this context, the determination of the enantiomeric composition of natural BMAA is of great importance. In this study, a simple and easily implemented LC-ESI-MS/MS method was developed to determine the presence of both D-and L-BMAA enantiomers in samples of cycad seed (Cycas micronesica). The samples were subjected to enzymatic hydrolysis to avoid racemization that occurs during strong acid hydrolysis. Derivatization with (+)-1-(9-fluorenyl)-ethyl chloroformate (FLEC) was performed prior to LC-ESI-MS/MS to produce chromatographically separable derivatives of D-and LBMAA. Together with the retention time, two MRM transitions and their peak area ratios were used to identify the compounds. The LOQ obtained was 0.3 mg BMAA per g wet weight for each enantiomer. Method repeatability was within 3 RSD% both intraday and interday and accuracy was 98-108%. An accurate enantiomeric composition was obtained from the samples of cycad seed, where L-and DBMAA were detected at 50.13 +/- 0.05 and 4.08 +/- 0.04 mg BMAA per g wet weight respectively (n = 3).
Název v anglickém jazyce
Chirální analýza enantiomerů beta-methylamino alaninu (BMAA) po derivatizaci (+) - 1- (9-fluorenyl) ethylchlorformiátu (FLEC) a LC-MS / MS
Popis výsledku anglicky
beta-Methylamino-L-alanine, a neurotoxin first isolated from the seeds of cycad tree Cycas circinalis, is widely spread in a variety of environments. New sensitive techniques and robust methodologies are needed to detect its presence in complex biological samples and to further understand its biochemical properties. In this context, the determination of the enantiomeric composition of natural BMAA is of great importance. In this study, a simple and easily implemented LC-ESI-MS/MS method was developed to determine the presence of both D-and L-BMAA enantiomers in samples of cycad seed (Cycas micronesica). The samples were subjected to enzymatic hydrolysis to avoid racemization that occurs during strong acid hydrolysis. Derivatization with (+)-1-(9-fluorenyl)-ethyl chloroformate (FLEC) was performed prior to LC-ESI-MS/MS to produce chromatographically separable derivatives of D-and LBMAA. Together with the retention time, two MRM transitions and their peak area ratios were used to identify the compounds. The LOQ obtained was 0.3 mg BMAA per g wet weight for each enantiomer. Method repeatability was within 3 RSD% both intraday and interday and accuracy was 98-108%. An accurate enantiomeric composition was obtained from the samples of cycad seed, where L-and DBMAA were detected at 50.13 +/- 0.05 and 4.08 +/- 0.04 mg BMAA per g wet weight respectively (n = 3).
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10406 - Analytical chemistry
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
ANALYTICAL METHODS
ISSN
1759-9660
e-ISSN
—
Svazek periodika
11
Číslo periodika v rámci svazku
4
Stát vydavatele periodika
GB - Spojené království Velké Británie a Severního Irska
Počet stran výsledku
11
Strana od-do
432-442
Kód UT WoS článku
000457360700016
EID výsledku v databázi Scopus
2-s2.0-85060650336