Shandong Science ›› 2020, Vol. 33 ›› Issue (4): 18-23.doi: 10.3976/j.issn.1002-4026.2020.04.004

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Application of partial least squares regression analysis in the study of the antibacterial spectrum-effect relationship and mathematical model of Scutellariae Radix

DING Xiao-yan,ZU Long-hui,WANG Bian-li   

  1. Shandong Key Laboratory of Chinese Medicine Quality Standard Research, Shandong Academy of Chinese Medicine,Jinan 250014,China
  • Received:2019-11-26 Published:2020-07-27 Online:2020-07-28

Abstract: Based on the fingerprint of Scutellariae Radix and its inhibition rate of Staphylococcus aureus, the partial least squares regression method was used to analyze the correlation of the antibacterial spectrum-effect relationship, and a mathematical model was established. Results showed that five components in Scutellariae Radix have a significant effect on the bacteriostasis rate. The established model could predict the efficacy of Scutellariae Radix with a deviation of less than 10%, indicating the desired prediction for the efficacy. The partial least squares regression method and the established mathematical model can provide an effective way to predict the inhibition rate of Staphylococcus aureus for the efficacy of Scutellariae Radix.

Key words: Scutellariae Radix;spectrum-effect relationship, partial least squares regression analysis, mathematical model

CLC Number: 

  • R282.7.1

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