Capillary-HPLC with tandem mass spectrometry in analysis of alkaloid dyestuffs - a new approach
PBN-AR
Instytucja
Wydział Chemiczny (Politechnika Warszawska)
Informacje podstawowe
Główny język publikacji
en
Czasopismo
Electrophoresis (30pkt w roku publikacji)
ISSN
0173-0835
EISSN
Wydawca
Wiley - V C H Verlag GmbH & Co. KGaA
DOI
Rok publikacji
2018
Numer zeszytu
Strony od-do
1276-1283
Numer tomu
39
Identyfikator DOI
Liczba arkuszy
0.3
Autorzy
Słowa kluczowe
en
berberine
capillary-HPLC-ESI MS/MS
fragmentation pathways
natural alkaloid dyestuffs
Streszczenia
Język
en
Treść
Development of the identification method of alkaloid compounds in Amur cork tree as well as not examined so far Oregon grape and European Barberry shrubs are presented. The novel approach to separation of alkaloids was applied and the capillary-high-performance liquid chromatography (capillary-HPLC) system was used, which has never previously been reported for alkaloid-based dyestuffs analysis. Its optimization was conducted with three different stationary phases (unmodified octadecylsilane-bonded silica, octadecylsilane modified with polar groups and silica-bonded pentaflourophenyls) as well as with different solvent buffers. Detection of the isolated compounds was carried out using diode-array detector (DAD) and tandem mass spectrometer with electrospray ionization (ESI MS/MS). The working parameters of ESI were optimized, whereas the multiple reactions monitoring (MRM) parameters of MS/MS detection were chosen based on the product ion spectra of the quasi-molecular ions. Calibration curve of berberine has been estimated (y = 1712091x + 4785.03 with the correlation coefficient 0.9999). Limit of detection and limit of quantification were calculated to be 3.2 and 9.7 ng/mL, respectively. Numerous alkaloids (i.e., berberine, jatrorrhizine and magnoflorine, as well as phellodendrine, menisperine and berbamine) were identified in the extracts from alkaloid plants and silk and wool fibers dyed with these dyestuffs, among them their markers.
Inne
System-identifier
WUT0edcd63209b64486b24194ea5da6addc
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