Chemical Profiling Assisted Quality Assessment of Gentianae macrophyllae by High-Performance Liquid Chromatography Using a Fused-Core Column.

A fast and sensitive HPLC coupled with multivariate analysis was utilized to assist the quality assessment of Gentianae macrophyllae radix (Qinjiao). Seventy-six peaks were separated and detected on a fused-core column with 35 min. Principal component analysis and hierarchical cluster analysis of the chromatographic data showed that the 17 batches of Qinjiao could be well categorized into three groups, which were closely related to the origins of them. Partial least square-discriminant analysis (PLS-DA) exhibited that the quality differentiation might be explained by at least four components, in which, gentiopicroside (GE), loganic acid (LA), swertiamarin (SA) were characterized by external reference, one of them was unidentified in this work. The content levels of GE, LA and SA were more relevant to comprehensive quality of Qinjiao than the ones of shanzhiside methyl ester and sweroside was confirmed by the PLS prediction models through analyzing the relevance of the chemical profiling to the levels of them. The present study not only indicated that GE, LA, SA and one unidentified compound were the rational markers to represent the comprehensive quality of Qinjiao but also demonstrated the power of chemical profiling platform in the quality assessment of Chinese medicine herbals.

[Optimization of extraction technology for typhae pallen from tangwang mixture by central composite design-response surface method].

OBJECTIVE: To optimize the extraction process of Typhae Pollen from Tangwang Mixture. METHODS: Using extraction rate and the content of isorhamnetin-3-O-neohesperidoside as the evaluation indicator, the extraction ways of Typhae Pollen was determined by comparing water and alcohol extraction technology. Among the water extraction technology, investigated the effect of single extraction and mix extraction, and whether Typhae Pollen wrappes during extracting. Taking ethanol concentration, the amount of solvent and extraction time as investigate factors, using the multiple linear regression and binomial formula fitting, extraction process was optimized by response surface method. RESULTS: The optimum extraction technology was as follows: extracted 3 times with 8-fold the amount of 60% ethanol for 60 minutes each time. CONCLUSION: The optimized ethanol extracted technology is reasonable and can be applied for the large-scale production.