Abstract
Polyphyllin is the main active constituent in Paris which was a traditional Chinese medicine. In order to evaluate the quality of Paris rapidly and ensure the efficacy in clinical therapy, we quantified the contents of polyphyllin Ⅰ, polyphyllin Ⅱ and polyphyllin Ⅶ using infrared spectroscopy with partial least squares regression(PLSR). The method for evaluating the quality of Paris was established. Infrared spectra of 78 samples from various species in different origins were collected. The contents of polyphyllin Ⅰ, Ⅱ and Ⅶ were determined by high performance liquid chromatography(HPLC). The HPLC data were combined with the spectral data to predict the contents of three polyphyllin rapidly. Multiplicative signal correction(MSC), standard normal variate(SNV), orthogonal signal correction(OSC), first derivative and second derivative were utilized for the spectral preprocessing. Then, the optimized spectral data were used to establish the quantitative prediction model based on PLSR. The results showed that the best spectral pretreatment of polyphyllin Ⅰ and Ⅱ were MSC+OSC+2nd Der and that of polyphyllin Ⅶ was MSC+SNV+OSC+2nd Der. In the quantitative calibration model, the determination coefficients (R²) of polyphyllin Ⅰ, polyphyllin Ⅱ and polyphyllin Ⅶ were 0.930 8, 0.934 8 and 0.912 3, respectively while the Root mean square error of estimation(RMSEE) were 1.855 0, 0.632 3 and 0.001 6 mg•g⁻¹, respectively. In the verification model, the R² of polyphyllin Ⅰ, polyphyllin Ⅱ and polyphyllin Ⅶ were 0.948 8, 0.703 6 and 0.801 7, respectively, and the root mean square error of prediction(RMSEP)were 1.704 6, 1.227 8 and 0.002 0 mg•g⁻¹, respectively. Because of the predictive value of quantitative model was closed to the real value, the effect of the model was good. The model of polyphyllin Ⅰ and Ⅱ were better than that of polyphyllin Ⅶ. The developed method was non-destructive, fast, and accurate. It was feasible to determine the content of polyphyllin in Paris.
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