title: Distinguishing Radix Angelica sinensis from different regions by HS-SFME/GC-MS.
abstract: 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. Sulphur dioxide was detected in some commercial RAS samples, which implied that sulphur-fumigation might be the main reason for the quality inconsistencies of commercial RAS samples. These results suggested that RAS from top-geoherb region and non-top geoherb region could be discriminated by the method. And characteristic chemical markers found in current study can be used for ensuring consistent quality of top-geoherb of RAS.
authors.affiliation: Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
authors.forename: Hong-Sheng
authors.initials: HS
authors.lastname: Tan
authors.affiliation: Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
authors.forename: Dong-Dong
authors.initials: DD
authors.lastname: Hu
authors.affiliation: PuraPharm (Nanning) Pharmaceutical Co. Ltd., Nanning 530007, China.
authors.forename: Jing-Zheng
authors.initials: JZ
authors.lastname: Song
authors.affiliation: Perkin Elmer, Lane 1670, Zhangheng Road, Shanghai 201203, China.
authors.forename: Yong
authors.initials: Y
authors.lastname: Xu
authors.affiliation: Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
authors.forename: Shuang-Fan
authors.initials: SF
authors.lastname: Cai
authors.affiliation: Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
authors.forename: Qi-Long
authors.initials: QL
authors.lastname: Chen
authors.affiliation: Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
authors.forename: Qian-Wan
authors.initials: QW
authors.lastname: Meng
authors.affiliation: Jiangsu Province Academy of Traditional Chinese Medicine, No. 100 Shizi Street, Hongshan Road, Nanjing 210028, China.
authors.forename: Song-Lin
authors.initials: SL
authors.lastname: Li
authors.affiliation: Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100193, China.
authors.forename: Shi-Lin
authors.initials: SL
authors.lastname: Chen
authors.affiliation: Jiangsu Province Academy of Traditional Chinese Medicine, No. 100 Shizi Street, Hongshan Road, Nanjing 210028, China. Electronic address: nancymq2008@hotmail.com.
authors.forename: Qian
authors.initials: Q
authors.lastname: Mao
authors.affiliation: Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China. Electronic address: xuhongxi88@gmail.com.
authors.forename: Hong-Xi
authors.initials: HX
authors.lastname: Xu
mesh_terms: D000080462:Acyclic Monoterpenes; D000447:Aldehydes / Q000032:analysis; D000475:Alkenes / Q000032:analysis; D029971:Angelica sinensis / Q000737:chemistry* / Q000145:classification; D000081008:Bicyclic Monoterpenes; D016000:Cluster Analysis; D008401:Gas Chromatography-Mass Spectrometry; D039821:Monoterpenes / Q000032:analysis; D018517:Plant Roots / Q000737:chemistry*; D025341:Principal Component Analysis; D012997:Solvents / Q000737:chemistry; D055549:Volatile Organic Compounds / Q000032:analysis
chemical_list: D000080462:Acyclic Monoterpenes; D000447:Aldehydes; D000475:Alkenes; D000081008:Bicyclic Monoterpenes; D039821:Monoterpenes; D012997:Solvents; D055549:Volatile Organic Compounds; C443996:beta-ocimene; C032251:isovalerylaldehyde; C005451:alpha-pinene
keywords: Automated headspace solvent free micro extraction (HS-SFME); Gas chromatography/mass spectrometry (GC/MS); Hierarchical clustering analysis (HCA); Principal components analysis (PCA); Radix Angelica sinensis; Volatile organic compounds (VOCs)