scholarly journals An Integrated LC-MS-Based Strategy for the Quality Assessment and Discrimination of Three Panax Species

Molecules ◽  
2018 ◽  
Vol 23 (11) ◽  
pp. 2988 ◽  
Author(s):  
Zhixia Du ◽  
Jinhua Li ◽  
Xiang Zhang ◽  
Jin Pei ◽  
Linfang Huang
Keyword(s):  
Discriminant Analysis ◽  
Quality Assessment ◽  
Least Squares ◽  
Partial Least Squares ◽  
Chemical Compositions ◽  
Qualitative And Quantitative Analysis ◽  
Multivariate Statistical ◽  
Qualitative And Quantitative ◽  
Panax Species ◽  
Q Exactive

: The quality assessment and discrimination of Panax herbs are very challenging to perform due to the complexity and variability of their chemical compositions. An integrated strategy was established using UHPLC-Q-Exactive/HRMS and HPLC-ESI-MS/MS to achieve an accurate, rapid, and comprehensive qualitative and quantitative analysis of Panax japonicas (PJ), Panax japonicus var. major (PM), and Panax zingiberensis (PZ). Additionally, discrimination among the three species was explored with partial least squares–discriminant analysis (PLS-DA) and orthogonal partial least squares–discriminant analysis (OPLS-DA) score plots. A total of 101 compounds were plausibly or unambiguously identified, including 82 from PJ, 78 from PM, and 67 from PZ. Among them, 16 representative ginsenosides were further quantified in three herbs. A clear discrimination between the three species was observed through a multivariate statistical analysis on the quantitative data. Nine compounds that allowed for discrimination between PJ, PM, and PZ were discovered. Notably, ginsenoside Rf (G-Rf), ginsenoside F3 (G-F3), and chikusetsu saponin IV (CS-IV) were the three most important differential compounds. The research indicated that the integrated LC-MS-based strategy can be applied for the quality assessment and discrimination of the three Panax herbs.

scholarly journals Serum Metabolomics Study Based on LC-MS and Antihypertensive Effect of Uncaria on Spontaneously Hypertensive Rats

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Ana Liu ◽  
Yan-Jun Chu ◽  
Xiaoming Wang ◽  
Ruixue Yu ◽  
Haiqiang Jiang ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Discriminant Analysis ◽  
Least Squares ◽  
Partial Least Squares ◽  
Antihypertensive Effect ◽  
Combination Method ◽  
Serum Samples ◽  
Multivariate Statistical ◽  
Spontaneously Hypertensive ◽  
Tof Ms

Our previous studies have shown that Uncaria has an important role in lowering blood pressure, but its intervention mechanism has not been clarified completely in the metabolic level. Therefore, in this study, a combination method of HPLC-TOF/MS-based metabolomics and multivariate statistical analyses was employed to explore the mechanism and evaluate the antihypertensive effect of Uncaria. Serum samples were analyzed and identified by HPLC-TOF/MS, while the acquired data was further processed by partial least squares discriminant analysis (PLS-DA) and orthogonal partial least squares discriminant analysis (OPLS-DA) to discover the perturbed metabolites. A clear cluster among the different groups was obtained, and 7 significantly changed potential biomarkers were screened out. These biomarkers were mainly associated with lipid metabolism (dihydroceramide, ceramide, PC, LysoPC, and TXA2) and vitamin and amino acids metabolism (nicotinamide riboside, 5-HTP). The result indicated that Uncaria could decrease the blood pressure effectively, partially by regulating the above biomarkers and metabolic pathways. Analyzing and verifying the specific biomarkers, further understanding of the therapeutic mechanism and antihypertensive effect of Uncaria was acquired. Metabolomics provided a new insight into estimate of the therapeutic effect and dissection of the potential mechanisms of traditional Chinese medicine (TCM) in treating hypertension.

scholarly journals Quality assessment: Qualitative and quantitative analysis of nine active components in Sargentodoxa cuneata by HPLC/Q Exactive Plus MS and UPLC-ESI-MS/MS

2020 ◽  
Author(s):  
Lin Zheng ◽  
Zu-Ying Zhou ◽  
Chang-Quan Wang ◽  
Yong-Lin Wang ◽  
Zi-Peng Gong ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Quality Assessment ◽  
Protocatechuic Acid ◽  
Eastern Region ◽  
Qualitative And Quantitative Analysis ◽  
Qualitative And Quantitative ◽  
Q Exactive ◽  
Different Origins ◽  
Q Exactive Plus

Abstract Background: Sargentodoxa cuneata is an herb commonly used by the Hmong people, and many preparations containing this herb have been marketed. However, the source of medicinal materials is not standardized during the production process, and the quality of medicinal materials from different sources may be inconsistent. This study was aimed to establish a qualitative and quantitative analysis method for quality assessment of Sargentodoxa cuneata in different regions. Methods: HPLC/Q Exactive Plus MS was performed in positive mode and negative mode used for qualitative analysis, and there were twenty-one ingredients were tested. Nine high-content or characteristic ingredients were screened out and applied to the quantitative analysis of thirty batches of medicinal materials from different origins. Based on the results of the quantitative analysis, further multivariate statistical analyses were carried out for quality assessment of Sargentodoxa cuneata . Results: Results showed that there were significant differences in the contents of the nine ingredients of Sargentodoxa cuneata in the eastern and southwestern regions. The content of hydroxytyrosol, salidroside, chlorogenic acid, desrhamnosyl isoacteoside, and liriodendrin of Sargentodoxa cuneata in eastern region was higher, while the content of protocatechin in southwestern region was higher. The different ingredients included protocatechuic acid, desrhamnosyl isoacteoside, liriodendrin, and hydroxytyrosol. These four ingredients were important factors that caused the difference in the quality of Sargentodoxa cuneata from different origins. Conclusion: Protocatechuic acid, desrhamnosyl isoacteoside, liriodendrin, and hydroxytyrosol may become a new marker for quality assessment of Sargentodoxa cuneata.

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