| Paeonia lactiflora Pall, is one of the commonly used traditional Chinese medicines (TCM). 28 White peony root samples and 18 Red peony root samples were collected from different habitat and different batches and the quality assessment was developed.Paeomflorin(PF) and Benzoylpaeoniflorin(BPF) which are the effective constituents of White peony root were isolated and identified. A reversed -phase HPLC method was developed for determination of PF, BPF, Albiflorin (AF), Benzoic acid(BA) and Paeonol(PN) in Paeonia lactiflora Pall. The determination could be accomplished by different mobile phase system in ODS column. The linear ranges were 18.24-273.6μg.mL-1(r=0.9996), 4.96-74.4 μg.mL-1(r=0.9997), 4.64-92.8μg.mL-1(r=0.9995), 3.16-63.2 μg.mL-1(r=0.9999) and 2.71-27.1μg.mL-1(r=0.9992) respectively. The average recoveries of the five constituents in White peony root samples were 97.6% (RSD 2.9%), 94.4% (RSD 3.1%), 97.9% (RSD 2.8%), 98.4% (RSD 2.0%) and 98.0% (RSD 3.2%) respectively. The average recoveries of the five constituents in Red peony root samples were 98.6%(RSD 3.0%), 98.6%(RSD 3.1%), 97.9%(RSD 2.8%), 98.4% (RSD 2.0%) and 96.3%(RSD 3.2%) respectively. The assay methods are simple, rapid and with good reproducibility and provide a quantitative basis for thequality assessment for White peony root and Red peony root.Used HPLC method, the 50% ethanol extract of White peony root and Red peony root was analyzed by chromatographic fingerprints. (1) The HPLC chromatographic fingerprints of White peony root showing 21 peaks, was established from 28 White peony root samples and studied by chemical pattern recognition methods. Cluster analysis and similarity analysis were adopted to analyze data of HPLC fingerptints of White peony root. The White peony root samples were identified with hierarchical clustering analysis and divided into three grades, the superior, the general and the inferior. According to the results of classification, the similarity analysis method for quality assessment of White peony root samples was developed. The similarity was determined by cosine, correlation and Euclidean. The similarity of the superior was 0.90-1.00, that of the general 0.70-0.89, and that of the inferior less than 0.70. The results of similarity analysis was the same as that of cluster analysis. The trend was consistent with three different similarities testing the HPLC fingerprints of White peony root. Three different measures were confirmed with eath other. The HPLC chromatographic fingerprints similarity analysis method can be used to control the quality of White peony root effectively. When unknown samples are analysed by this method, identification, classification and assessment can be carried out by compared the similarity of standard samples with the unknown ones. (2) 27 constituents were separated and the chemical data was obtained from Red peony root. All samples were identified with hierarchical clustering analysis and divided into two grades, Paeonia veitchii Pall, and Paeonia lactiflora Pall. The similarity of Paeonia lactiflora Pall, was 0.80-1.00 and that of Paeoniaveitchii Pall, was less than 0.80. The results of similarity analysis was the same as that of herarchical cluster analysis. Two different methods were confirmed with each other.Based on the HPLC method, White peony root and Red peony root samples were analyzed in the same condition and the chemical data was obtained. All samples were identified with hierarchical clustering analysis and discriminant function was developed with the result of classification by Stepwise discriminant analysis (STEPDA) method. White peony root and Red peony root samples were differentiated and identified by the discriminant function. When unknown samples are analysed by this method, the observed values are imported into discriminant function. The classification is that which the function value is the biggest ones. The results showed that the trend was consistent with two different methods. Two different methods were confirmed with each other.
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