In this research, ultra‐performance liquid chromatography coupled with electrospray ionization quadrupole time‐of‐flight mass spectrometry (UPLC–ESI–Q‐TOF–MS/MS) was used for detection and identification of the absorptive constituents and their metabolites in rat plasma, urine and feces following oral administration of Ziziphi Spinosae Semen alcohol extract. After structure elucidation, a total of 12 compounds in rat plasma, comprising seven prototypes and five metabolites, 28 compounds in urine, comprising 17 prototypes and 11 metabolites, and 23 compounds in feces, comrpising 17 prototypes and six metabolites, have been tentatively identified by comparison with standard compounds and reference literature information. To the best of our knowledge, this is the first comprehensive and systematical metabolic study on the seed. Mostly importantly, we propose that gastric acid could convert jujubosides into an absorbable form of ebelin lactone oligosaccharides, which may be responsible for the low bioavailability and specific bioactivities of these compounds. Additionally, we deduced that the absorption site of ebelin lactone oligosaccharides is located in the stomach, and that the ebelin lactone form of jujubosides may be more suitable for absorption than its hydrolysis product. Our investigation will be helpful to narrow the scope for potentially active ingredients of the seed, and pave the way for determination of the pharmacological mechanism of the seed.
Polygoni Multiflori Caulis is a traditional Chinese medicine that has been used for a long time to treat sleep disorders. However, the multiple chemical composition analysis has not been reported. In this study, a simple, rapid and effective ultra-high performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry method was established to characterize the components of Polygoni Multiflori Caulis. In addition, a chemical comparative analysis was performed with Polygoni Multiflori Radix, another traditional Chinese medicine from the same plant, through multivariate statistical analysis and semi-quantitative analysis to screen the difference in chemical ingredients between these two herbal medicines from same medicinal plant. A total of 33 peaks were detected within 25 min, and 28 of them were identified or tentatively characterized by comparing the retention time and mass spectrometry data. Based on the results, 12 characteristic components were screened out by multivariate statistical analysis, and their content change trends were compared by semi-quantitative analysis.
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