title: [Multistage multivariate statistic quality control (MMSQC) for monitoring production process of traditional Chinese medicines].
abstract: OBJECTIVE
  To establish a method for monitoring the quality of intermediates generated in each working procedure during the production process of traditional Chinese medicine (TCM) , in order to ensure the batch-to-batch quality consistency of TCM products.
  
  
  METHODS
  The multistage multivariate statistic quality control (MMSQC) was proposed to monitor production quality of TCMs based on multivariate data analysis technique. Hotelling T2 and SPE were adopted for monitoring the quality of intermediates generated in each working procedure. Danshen injection was taken as the example to introduce the application method of MMSQC.
  
  
  RESULTS
  MMSQC can monitor the quality of intermediates generated in multiple working procedures, which is simpler and more accurate compared with single-indicator monitoring method.
  
  
  CONCLUSIONS
  MMSQC can be popularized to monitor quality of multistage production of TCMs.
authors.affiliation: College of Pharmaceutical Science, Zhejiang University, Hangzhou 310058, China.
authors.forename: Haoshu
authors.initials: H
authors.lastname: Xiong
authors.forename: Ying
authors.initials: Y
authors.lastname: Fu
authors.forename: Jing
authors.initials: J
authors.lastname: Nie
authors.forename: Haibin
authors.initials: H
authors.lastname: Qu
mesh_terms: D004365:Drugs, Chinese Herbal / Q000737:chemistry* / Q000592:standards*; D008516:Medicine, Chinese Traditional / Q000592:standards*; D010618:Phenanthrolines / Q000737:chemistry* / Q000592:standards*; D011786:Quality Control; D027561:Salvia miltiorrhiza / Q000737:chemistry*
chemical_list: D004365:Drugs, Chinese Herbal; D010618:Phenanthrolines; C028972:dan-shen root extract