Analysis and evaluation of bioactive constituents from different parts of Epimedium brevicornum.
10.19540/j.cnki.cjcmm.20230313.102
- Author:
Jia XUE
1
;
Hai-Jie CHEN
1
;
Yong-Yi ZHOU
1
;
Jia-Huan YUAN
1
;
Zhi-Chen CAI
1
;
Nan WU
1
;
Cui-Hua CHEN
1
;
Xun-Hong LIU
2
;
Li-Si ZOU
1
;
Sheng-Xin YIN
1
;
Wei YANG
1
;
Jian-Ming CHENG
2
Author Information
1. School of Pharmacy, Nanjing University of Chinese Medicine Nanjing 210023, China.
2. School of Pharmacy, Nanjing University of Chinese Medicine Nanjing 210023, China Jiangsu Province Engineering Research Center of Classical Prescription Nanjing 210023, China.
- Publication Type:Journal Article
- Keywords:
Epimedium brevicornum;
UFLC-QTRAP-MS/MS;
different parts;
multiple bioactive constituents;
multivariate statistical analysis
- MeSH:
Chromatography, High Pressure Liquid;
Epimedium;
Tandem Mass Spectrometry;
Chromatography, Liquid;
Multivariate Analysis
- From:
China Journal of Chinese Materia Medica
2023;48(13):3448-3461
- CountryChina
- Language:Chinese
-
Abstract:
A comprehensive analytical method based on ultra-fast liquid chromatography coupled with triple quadrupole/linear ion trap tandem mass spectrometry(UFLC-QTRAP-MS/MS) was established for simultaneous determination of the content of 45 bioactive constituents including flavonoids, alkaloids, amino acids, phenolic acids, and nucleosides in Epimedium brevicornum. The multiple bioactive constituents in leaves, petioles, stems and rhizomes of E. brevicornum were analyzed. The gradient elution was performed at 30 ℃ in an XBridge~® C_(18) column(4.6 mm×100 mm, 3.5 μm) with 0.4% formic acid aqueous solution-acetonitrile as the mobile phase at a flow rate of 0.8 mL·min~(-1). Single factor experiment and response surface methodology were employed to optimize the extraction conditions. Multivariate statistical analyses including systematic cluster analysis(SCA), principal component analysis(PCA), partial least squares discriminant analysis(PLS-DA), and one-way analysis of variance(One-way ANOVA) were carried out to classify the samples from different parts and identify different constituents. Grey relation analysis(GRA) and entropy weight-TOPSIS analysis were performed to build a multi-index comprehensive evaluation model for different parts of E. brevicornum. The results showed that there was a good relationship between the mass concentrations of 45 constituents and the corresponding peak areas, with the correlation coefficients(r) not less than 0.999 0. The precision, repeatability, and stability of the established method were good for all the target constituents in this study, with the relative standard deviations(RSDs) less than 5.0%(0.62%-4.9%) and the average recovery of 94.51%-105.7%. The above results indicated that the bioactive constituents varied in different parts of E. brevicornum, and the overall quality followed the trend of leaves > petioles > rhizomes > stems. This study verified the rationality of the Chinese Pharmacopoeia(2020 edition) stipulating that the medicinal part of E. brevicornum is the leaf. Moreover, our study indicated that the rhizome had the potential for medicinal development. The established method was accurate and reliable, which can be used to comprehensive evaluate and control the quality of E. brevicornum. This study provides data reference for clarifying the medicinal parts and rationally utilizing the resources of E. brevicornum.
