RESUMO
The fingerprint of Boenninghausenia albiflora var. albiflora was established by ultra performance liquid chromatography(UPLC), and the content of 12 active components including chlorogenic acid was determined. Multivariate statistical analysis was used to explore the indicator components of B. albiflora var. albiflora and a comprehensive evaluation system was created for the quality of B. albiflora var. albiflora. In this study, 33 batches of B. albiflora var. albiflora with different sources were collected and studied, and the UPLC fingerprint of B. albiflora var. albiflora was developed. There were 37 common peaks, of which 12 components were identified, and the content of these 12 components was measured. In combination of the common peaks and the content of chemical components, multivariate statistical analysis was performed, and the results showed that 6 components [daphnoretin, isoimperatorin, astragalin, imperatorin, neochlorogenic acid, and isoquercitrin(weight coefficient>0.1)] were selected as chemical markers for the quality of B. albiflora var. albiflora. Technique for order of preference by similarity to ideal solution(TOPSIS) analysis and chemometrics revealed that the quality of S32, S28 and S29 were superior, while that of S12, S7 and S16 were inferior. The quality evaluation method of B. albiflora var. albiflora constructed in this study was accurate and reliable, with simpleness and easiness to operate. It is suggested that the 6 above-mentioned active components could be used as indicator components for quality control of B. albiflora var. al-biflora. The samples were harvested during the flowering and fruiting period, which is from the beginning of July to the end of August.