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Simultaneous qualitative and quantitative analysis of flavonoids and alkaloids from the leaves of Nelumbo nucifera Gaertn. using high‐performance liquid chromatography with quadrupole time‐of‐flight mass spectrometry
Author(s) -
Guo Yujie,
Chen Xi,
Qi Jin,
Yu Boyang
Publication year - 2016
Publication title -
journal of separation science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.72
H-Index - 102
eISSN - 1615-9314
pISSN - 1615-9306
DOI - 10.1002/jssc.201501315
Subject(s) - chemistry , chromatography , mass spectrometry , quantitative analysis (chemistry) , lotus , high performance liquid chromatography , tandem mass spectrometry , lotus effect , quadrupole time of flight , qualitative analysis , botany , organic chemistry , qualitative research , raw material , social science , sociology , biology
A reliable method, combining qualitative analysis by high‐performance liquid chromatography coupled with quadrupole time‐of‐flight mass spectrometry and quantitative assessment by high‐performance liquid chromatography with photodiode array detection, has been developed to simultaneously analyze flavonoids and alkaloids in lotus leaf extracts. In the qualitative analysis, a total of 30 compounds, including 12 flavonoids, 16 alkaloids, and two proanthocyanidins, were identified. The fragmentation behaviors of four types of flavone glycoside and three types of alkaloid are summarized. The mass spectra of four representative components, quercetin 3‐ O ‐glucuronide, norcoclaurine, nuciferine, and neferine, are shown to illustrate their fragmentation pathways. Five pairs of isomers were detected and three of them were distinguished by comparing the elution order with reference substances and the mass spectrometry data with reported data. In the quantitative analysis, 30 lotus leaf samples from different regions were analyzed to investigate the proportion of eight representative compounds. Quercetin 3‐ O ‐glucuronide was found to be the predominant constituent of lotus leaf extracts. For further discrimination among the samples, hierarchical cluster analysis, and principal component analysis, based on the areas of the eight quantitative peaks, were carried out.

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