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✅   A Multi-omics approach combining GC-MS, LC-MS, and FT-NIR with chemometrics and machine learning for metabolites systematic profiling and geographical origin tracing of Artemisia argyi Folium

science

Artemisia argyi Folium (AAF) is a widely used functional aromatic medicinal plant with significant health, culinary, and therapeutic value. However, geographical variations in environmental factors notably affect its metabolite production, making comprehensive analysis of AAF quality essential. This study aims to systematically characterize AAF from different geographical regions in China using a multi-omics analysis platform. By employing chemometrics and machine learning, we identify...

NCBI     Jun 17, 2025