“Identifying Quality Markers of Artemisiae Argyi Folium Using UPLC, GC-MS, and Network Pharmacology”

https://pubmed.ncbi.nlm.nih.gov/38114140

This study used UPLC, GC-MS, and network pharmacology to analyze and predict potential quality markers of Artemisiae Argyi Folium, and identified six components as potential quality markers through molecular docking and content analysis of 33 A. argyi germplasm resources, providing a reference for establishing a quality evaluation system and breeding new varieties.