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Systematical characterization of gypenosides in Gynostemma pentaphyllum and the chemical composition variation of different origins.
- Source :
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Journal of pharmaceutical and biomedical analysis [J Pharm Biomed Anal] 2023 Aug 05; Vol. 232, pp. 115328. Date of Electronic Publication: 2023 Mar 16. - Publication Year :
- 2023
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Abstract
- Gynostemma pentaphyllum (Thunb.) Makino is an herbaceous plant of Cucurbitaceae family, which has been widely used as an herbal tea and traditional Chinese medicine. Since its saponins are similar to ginsenosides and have a wide range of activities, it has attracted wide interest. However, there are still a large number of unknown saponins that have not been isolated, especially some trace gypenosides. In the present study, a HILIC × RP offline two-dimensional liquid separation combined with a multimode data acquisition was developed for the systematical characterization of gypenosides. On top of the negative mode information, considering that saponins are prone to in-source fragmentations in positive ion mode, a precursor ion list data acquisition method was used for the targeted acquisition of multistage positive data. Reference herbal drug was taken as a golden sample to probe the chemical composition of G. pentaphyllum. The mixed sample of commercially available samples were also analyzed in parallel. Furthermore, the chemical compositions of commercially available samples from different sources were compared. In total, 1108 saponins were characterized, among which 588 were accurately characterized, with 574 identified in the reference herbal drug and 700 in the mixed commercially available samples. The commercially available samples showed great composition variation. These findings clarified the material basis and provided clues for quality control of G. pentaphyllum.<br />Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2023. Published by Elsevier B.V.)
Details
- Language :
- English
- ISSN :
- 1873-264X
- Volume :
- 232
- Database :
- MEDLINE
- Journal :
- Journal of pharmaceutical and biomedical analysis
- Publication Type :
- Academic Journal
- Accession number :
- 37149947
- Full Text :
- https://doi.org/10.1016/j.jpba.2023.115328