Quantitative and pattern recognition analyses of magnoflorine, spinosin, 6 '''-feruloyl spinosin and jujuboside A by HPLC in Zizyphi Semen

Title
Quantitative and pattern recognition analyses of magnoflorine, spinosin, 6 '''-feruloyl spinosin and jujuboside A by HPLC in Zizyphi Semen
Author(s)
손종근김원일[김원일]조병천[조병천]장해연이제현[이제현]우미희[우미희]
Keywords
PENTOBARBITAL-INDUCED SLEEP; MASS-SPECTROMETRY; OXIDATIVE STRESS; ZIZIPHUS-JUJUBA; EXTRACT; MODELS; RATS; SEIZURES
Issue Date
201409
Publisher
PHARMACEUTICAL SOC KOREA
Citation
ARCHIVES OF PHARMACAL RESEARCH, v.37, no.9, pp.1139 - 1147
Abstract
Two rapid and simple HPLC methods with UV detector to determine three main compounds (magnoflorine, spinosin and 6'''-feruloyl spinosin) and evaporative light scattering detector (ELSD) to determine jujuboside A were developed for the chemical analyses of Zizyphi Semen. Magnoflorine, spinosin, and 6'''-feruloyl spinosin were separated with an YMC J'sphere ODS-H80 column (250 mm x 4.6 mm, 4 mu m) by the gradient elution followed by the isocratic elution using methanol with 0.1 % formic acid and water with 0.1 % formic acid as the mobile phase. The flow rate was 1.0 mL/min. Jujuboside A was separated by HPLC-ELSD with YoungJinBioChrom Aegispak C18-L column (250 mm x 4.6 mm, 5 mu m) column in a gradient elution using methanol with 0.1 % formic acid (A) and water with 0.1 % formic acid as the mobile phase. These two methods were fully validated with respect to linearity, precision, accuracy, stability, and robustness. These HPLC methods were applied successfully to quantify four compounds in a Zizyphi Semen extract. The HPLC analytical methods were validated for pattern recognition analysis by repeated analysis of 91 seed samples corresponding to 48 Zizyphus jujuba var. spinosa (J01-J48) and 43 Zizyphus mauritiana (M01-M43). The results indicate that these methods are suitable for a quality evaluation of Zizyphi Semen.
URI
http://hdl.handle.net/YU.REPOSITORY/30818http://dx.doi.org/10.1007/s12272-013-0295-z
ISSN
0253-6269
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약학대학 > 약학부 > Articles
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