Résumé
In this work,a high performance liquid chromatography-ultraviolet( HPLC-UV) detection technology was used to establish fingerprint analysis method for Sanye Tangzhiqing Decoction following an analytical quality by design( AQb D) approach. Firstly,column temperature,flow rate,and gradient elution conditions were determined as the method parameters needing to be optimized. Then according to the results of definitive screening design,three critical method attributes( CMAs) were identified,including peak number,the percentage of common peak area to total peak area,and retention time of the last peak. A stepwise regression method was used then to build quantitative models between CMAs and method parameters. Probability-based design space was calculated and successfully verified using the experimental error simulation method. After the analysis conditions were optimized,the contents of six components,namely chlorogenic acid,paeoniflorin,rutin,hyperoside,quercetin-3-O-β-D-glucuronide,and salvianolic acid B were simultaneously determined. There were 19 common peaks in the fingerprint and their common peak area accounted for 96% of the total peak area. Both fingerprint and quantitative analysis methods were validated applicable in methodology study,and they can be applied to determine new samples.