Distinguishing Radix Angelica sinensis from different regions by HS-SFME/GC-MS.

An automated headspace solvent free microextraction (HS-SFME) based gas chromatography/mass spectrometry (GC/MS) was developed for discrimination of Radix Angelica sinensis (RAS) from different cultivation regions. The MS data were subjected to principal component analysis (PCA) and hierarchical clustering analysis (HCA) to rapidly find the potential characteristic components of RAS from top-geoherb region and non top-geoherb region. Totally, fifty-one volatile organic compounds (VOCs) were identified, in which β-ocimene, α-pinene, 3-methylbutanal, heptanes, butanal were identified as potential markers for distinguishing RAS from top-geoherb region and non top-geoherb region.