PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 8, 2026Journal of Separation Science1 citations

Prediction and Analysis of Quality Markers for Hedysari Radix Using Ultra‐High‐Performance Liquid Chromatography‐Tandem Mass Spectrometry, Network Pharmacology, Molecular Dynamics, and Chemometrics

View Full Paper
XLXudong LuoXLXinrong LiPQPeng Qi

Key Points

  • This research aims to establish a scientific evaluation method for the quality markers of Hedysari Radix.
  • Analyzed changes in chemical components using ultra-high-performance liquid chromatography-tandem mass spectrometry.
  • Employed network pharmacology to explore immune-related compounds as quality markers.
  • Utilized molecular dynamics to study compositional variations during processing.
  • Applied chemometric methods like hierarchical cluster analysis and principal component analysis for model development.
  • Detected increased levels of formononetin, calycosin, liquiritigenin, and γ-aminobutyric acid after processing.
  • Noted a reduction in ononin, calycosin-7-glucoside, and vanillic acid.
  • Identified 10 immune-related compounds as potential quality markers using network pharmacology.
  • Developed robust models to distinguish between Rubbing strip and Non-rubbing strip samples.

Abstract

To establish a scientific and reliable quality evaluation method for Hedysari Radix (HR), this study investigated changes in chemical components before and after the "Rubbing strip" (RS) was processed based on Quality Marker (Q-Marker) theory. By integrating ultra-high-performance liquid chromatography-tandem mass spectrometry quantitative analysis, network pharmacology, molecular dynamics, and chemometrics to elucidate compositional variations and predict potential quality markers systematically. Results showed significantly increased contents of formononetin, calycosin, liquiritigenin, and γ-aminobutyric acid after the RS was processed, while the contents of ononin, calycosin-7-glucoside, and vanillic acid were reduced. These findings suggest that RS processing may facilitate the transformation of isoflavone glycosides into aglycones through mechanochemical effects. Network pharmacology analysis further identified 10 immune-related compounds, including medicarpin, calycosin-7-glucoside, calycosin, ononin, and formononetin, as potential quality markers. Using chemometric methods such as hierarchical cluster analysis, principal component analysis, and Orthogonal partial least-squares discriminant analysis, robust discrimination models distinguishing RS from "Non-rubbing strip" samples were successfully developed based on the identified Q-Marker. This study, integrating chemical profiling and bioinformatics approaches, identified and predicted potential Q-Markers for HR, providing theoretical and methodological support for establishing a robust and scientifically quality evaluation system for HR.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Luo et al. (2026) studied this question.

synapsesocial.com/papers/69d5f00974eaea4b11a797b1https://doi.org/10.1002/jssc.70410
Ask AI
Helpful
Bookmark
Share
View Full Paper