title: [Chemical pattern recognition in the Rhizoma of Atractylodes macrocephala].
abstract: OBJECTIVE
  To establish chemical pattern recognition method for the identification and evaluation of Atractylodes macrocephala.
  
  
  METHODS
  The chemical constituents in methanol extract of 32 samples of A. macrocephala were determined by HPLC. The fingerprints were obtained and were handled by hierarchical clustering analysis and stepwise discriminant analysis.
  
  
  CONCLUSIONS
  According to the result of classification, all samples collected were devided into three Grades--the superior, the ordinary and the fake. Chemical pattern recognition method was established. It may be of practical value for the quality control of A. macrocephala.
authors.affiliation: Hebei Institute for Drug Control, Shijiazhuang 050011, Hebei, China.
authors.forename: Lan
authors.initials: L
authors.lastname: Tian
authors.forename: Kai-shun
authors.initials: KS
authors.lastname: Bi
authors.forename: Wen-jian
authors.initials: WJ
authors.lastname: Sun
authors.forename: Shao-chun
authors.initials: SC
authors.lastname: Zhao
authors.forename: Guo-fang
authors.initials: GF
authors.lastname: Wu
authors.forename: Ying
authors.initials: Y
authors.lastname: Lu
mesh_terms: D031174:Atractylodes / Q000737:chemistry*; D002851:Chromatography, High Pressure Liquid / Q000379:methods; D016000:Cluster Analysis; D010363:Pattern Recognition, Automated; D010946:Plants, Medicinal / Q000737:chemistry*; D011786:Quality Control; D027343:Rhizome / Q000737:chemistry