Study on quality standard of Berberidis Cortex / 中国中药杂志

In order to establish the quality standard of Berberidis Cortex and improve its quality control level, water, total ash, acid-insoluble ash and alcohol-soluble extract were determined according to procedures recorded in the Chinese Pharmacopoeia (2010 edition). The qualitative and quantitative analyses were performed by thin layer chromatography (TLC) and high performance liquid chromatography (HPLC) methods. The results showed that TLC identification had a good resolution with clear spots. The water content was 8.39%-12.23%; total ash was 4.50%-9.96%; acid-insoluble ash was 0.10%-0.69%, and the alcohol-soluble extraction was 20.62%-37.13%. The average contents of magnoflorine, jatrorrhizine, palmatine, and berberine in Berberidis Cortex were 5.98%, 0.63%, 0.30%, 2.50%, respectively. It was concluded that the developed method was accurate and good in specificity, which can be used for quality control of Berberidis Cortex in the future.

Potential distribution of Rhodiola crenulata in Tibetan Plateau based on Maxent model / 中国中药杂志

Wildlife tending and artificial cultivation is an important way to protect the wild resources of Rhodiola crenulata. It is a study hotspot at present. The distribution information of R. crenulata was collected by query data and field survey, the ecological suitability regionalization was conducted based on maximum entropy model combine with ecological factors, including climate, soil and altitude. To provide the reference for production layout, suitable planting area and the selection of artificial planting base by studying the ecological suitability regionalization of R. crenulata. The potential distribution areas mainly concentrated in the easen Tibet, western Sichuan, southern Qinghai, and Gansu Gannan Tibetan Autonomous Prefecture, Yunnan Diqing Tibetan Autonomous Prefecture. There were 5 major environmental factors to have obvious influence on ecology suitability distributions of R. crenulata, including altitude (contribution rate of 61.8%), precipitation of warmest quarter (contribution rate of 19%), the coefficient of variation of precipitation seasonality (contribution rate of 4.7%), the SD of temperature seasonality (contribution rate of 4%), mean temperature of driest quarter (contribution rate of 2.5%). The AUCs of ROC curve were both above 0.9, indicating that the predictive results with the Maxent model were highly precise. The study of the ecological suitability regionalization of R. crenulata based on Maxent can provide a scientific basis for the selection of artificial planting base.