ABSTRACT
Objective: To establish the quality evaluation system based on spectrum-antibacterial effect correlation of Yinhuang Granules in order to detect its raw medicinal materials, extracts, and preparation simultaneously. Methods: Firstly, the spectrum- antibacterial effect correlation quality evaluation system of Yinhuang Granules was established by using Least Squares Support Vector Machine (LS-SVM). Then, by using supervised partial least square-discriminant analysis models (PLS-DA), the antibacterial effect evaluation was judged based on the spectrum-antibacterial effect data of Scutellariae Radix, Lonicerae Japonicae Flos, Scutellaria extract, Lonicerae japonica extract, and Yinhuang Granules. Results: The mathematical model of Yinhuang Granules based on spectrum-antibacterial effect correlation was established; The average relative error of the prediction results was less than 5%, and the antibacterial rate of Scutellariae Radix, Scutellaria Radix extract, Lonicerae Japonicae Flos, Lonicerae japonica extract was greater than 43%, 5.5%, 11%, 37% calculated by their mathematical model, which can ensure the antibacterial effect was greater than 11% (correct rate was 87%). Conclusion: The quality evaluation system can realize the quality control of the key link of the production of traditional Chinese medicine, the evaluation results are more scientific, comprehensive, and accurate.