title: [Dual index information markedly similar sequence clustering analysis on IR fingerprint spectra of extracts of Guifu Dihuang and Jingui Shenqi pills with ethanol].
abstract: OBJECTIVE
  To establish, a novel method, Dual index information markedly similar sequence clustering analysis to identify and control the quality of formula Chinese patent medicine.
  
  
  METHODS
  Based on common and variation peak ratio dual index sequence analysis proposed by authors, a new equation was built up, in which the common inherited and variant information could be integrated into unique information represent. It described the properties of biological samples simply and synthetically. The dual index information markedly similar sequence were determined and used to cluster samples.
  
  
  RESULTS
  The novel approach was applied for pattern recognition of IR fingerprint spectra of components of Guifu dihuang and Jingui shenqi pills, composed of extremely similar components extracted with ethanol, the two pills could be classified accurately and distinctly.
  
  
  CONCLUSIONS
  The dual index information markedly similar sequence clustering method is an excellent one-fit pattern recognition one fit to analyze biologically complex samples.
authors.affiliation: School of Chemistry and Chemical Engineering of Shandong University Center campus, Jinan 250100, China. huabinzou@126.com
authors.forename: Huabin
authors.initials: H
authors.lastname: Zou
mesh_terms: D004365:Drugs, Chinese Herbal / Q000737:chemistry*; D000431:Ethanol / Q000737:chemistry; D008490:Medical Informatics / Q000379:methods*; D008516:Medicine, Chinese Traditional / Q000592:standards*; D011786:Quality Control; D013055:Spectrophotometry, Infrared
chemical_list: D004365:Drugs, Chinese Herbal; D000431:Ethanol