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Published on: September 2, 2020
[Research on pattern recognition of the component stripping rule based on zuojinwan and its similar formulaes
Chao-run Wang1, Qun He, Gui-ming Deng
1School of Pharmacy, Hunan University of Chinese Medicine, Changsha 410208, China.
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%.
Conclusion:
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.
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