title: [Pattern Recognition Analysis for Quality Control of Jia Ga Song Tang by GC-MS].
abstract: OBJECTIVE
  To establish a scientific method for identitication and evaluation of the Tibetan prescription Jia Ga Song Tang.
  
  
  METHODS
  Volatile oil was extracted by water steam distillation and analyzed by GC-MS. Principal component analysis (PCA) and hierarchical cluster analysis (HCA) were applied to the samples for chemical fingerprint pattern recognition research.
  
  
  RESULTS
  16 samples according to hierarchical cluster analysis (HCA) and principal component analysis (PCA) were divided into two classes, and results from two recognition analysis methods had good consistency.
  
  
  CONCLUSIONS
  GC-MS-pattern recognition method was a kind of scientific, accurate and effective method for the quality evaluation of Jia Ga Song Tang.
authors.forename: Qing-long
authors.initials: QL
authors.lastname: Tan
authors.forename: Tian-qin
authors.initials: TQ
authors.lastname: Xiong
authors.forename: Li-xia
authors.initials: LX
authors.lastname: Xie
authors.forename: Jia-yi
authors.initials: JY
authors.lastname: Liao
authors.forename: Tao
authors.initials: T
authors.lastname: Yang
authors.forename: Xi
authors.initials: X
authors.lastname: Lin
authors.forename: Cui-xian
authors.initials: CX
authors.lastname: Zhang
mesh_terms: D016000:Cluster Analysis; D004365:Drugs, Chinese Herbal / Q000737:chemistry* / Q000592:standards; D008401:Gas Chromatography-Mass Spectrometry; D009822:Oils, Volatile / Q000737:chemistry* / Q000592:standards; D025341:Principal Component Analysis; D011786:Quality Control; D013227:Steam
chemical_list: D004365:Drugs, Chinese Herbal; D009822:Oils, Volatile; D013227:Steam