title: [Research on pattern recognition of the component stripping rule based on zuojinwan and its similar formulaes combined chemometrics methods].
abstract: OBJECTIVE
  To establish a method of HPLC relative dissolution rate for reorganizing and validating the dissolution pattern of Zuojinwan and its similar formulaes.
  
  
  METHODS
  Selected the relative dissolution rate of the components of HPLC chromatogram of zuojinwan and its similar formulaes as the index, establish a HPLC relative dissolution rate of Zuojinwan and its similar formulaes, and made the pattern recognition research on the dissolution of pattern based on using the principal component analysis, cluster analysis and Fisher discriminant analysis.
  
  
  RESULTS
  Three principal components divided from principal component analysis could summary comprehensively the twenty indicators of HPLC relative dissolution rate of Zuojinwan and its similar formulaes; Basing on the principal component analysis, divided the components dissolved rule of zuojinwan and its similar formulaes into six classes through cluster analysis, and established the corresponding Fisher discriminant function, which return sentence accuracy rate was 100%.
  
  
  CONCLUSIONS
  The evaluation method established preliminarily of components stripping rules of chemical pattern recognition of Zuojinwan and its similar formulaes, can make the accurate, reliable, objective identification and validation of the stripping rule of zuojinwan and its similar formulaes.
authors.affiliation: School of Pharmacy, Hunan University of Chinese Medicine, Changsha 410208, China.
authors.forename: Chao-run
authors.initials: CR
authors.lastname: Wang
authors.forename: Qun
authors.initials: Q
authors.lastname: He
authors.forename: Gui-ming
authors.initials: GM
authors.lastname: Deng
authors.forename: Wei-wei
authors.initials: WW
authors.lastname: Su
mesh_terms: D000470:Alkaloids / Q000032:analysis; D002851:Chromatography, High Pressure Liquid / Q000379:methods*; D016000:Cluster Analysis; D039323:Coptis / Q000737:chemistry*; D016002:Discriminant Analysis; D004338:Drug Combinations; D004365:Drugs, Chinese Herbal / Q000032:analysis / Q000737:chemistry* / Q000592:standards; D032086:Evodia / Q000737:chemistry*; D008516:Medicine, Chinese Traditional; D010363:Pattern Recognition, Automated; D025341:Principal Component Analysis; D011786:Quality Control; D015203:Reproducibility of Results; D012995:Solubility
chemical_list: D000470:Alkaloids; D004338:Drug Combinations; D004365:Drugs, Chinese Herbal