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1.
China Journal of Chinese Materia Medica ; (24): 3329-3335, 2016.
Article in Chinese | WPRIM | ID: wpr-307156

ABSTRACT

This study was aimed to analyze the correlation between commercial specifications of Panacis Quinquefolii Radix and quantitative indexes of sevent kinds of ginsenosides (ginsenosides Rg¹, Re, Rb¹, Rc, Rb₂, Rb₃, Rd) contained in Panacis Quinquefolii Radix by using high performance liquid chromatography (HPLC), explore the correlation between the characteristics of the traditional Panacis Quinquefolii Radix specifications and modern chemical quantitative indicators, and provide a theoretical basis for the quality grade evaluation of Panacis Quinquefolii Radix. The HPLC fingerprint method was used to analyze 40 batches of Panacis Quinquefolii Radix. A total of 19 peaks were marked, and the similarity was above 0.900 for all samples. On this basis, processing methods, product specifications, contents of 7 components, and the total contents of ginsenoside Rg¹, Re and Rb¹ were used as the original variables for cluster analysis and principal component analysis. The results showed great correlation between the quality of Panacis Quinquefolii Radix and the information on their origins, but the difference was less with the characteristics of traditional commercial specifications, indicating some limitations in the division of commercial specifications of Panacis Quinquefolii Radix. The results revealed the intrinsic relationship between the product specifications, traditional qualitative indexes, and quantitative indexes of chemical components of Panacis Quinquefolii Radix, providing a new idea for the objective comprehensive evaluation of the quality of Panacis Quinquefolii Radix.

2.
China Journal of Chinese Materia Medica ; (24): 3164-3168, 2016.
Article in Chinese | WPRIM | ID: wpr-258402

ABSTRACT

According to the meteorological index of the growth of Blumea balsamifera, and by using the climate and geographic date recorded in the main meteorological stations for 54 years(1960-2014) in Guizhou province, the authors established a regression model between climate division factors and geographic information for the possible planting area. Considering integrated various factors including climate factor, gradient and elevation, based on GIS technology, ascertain the planting area of B. balsamifera. Combined with the land use condition of Guizhou province based on RS, analyzed the distribution rule of the synthesis index, climatic divisions of B. balsamifera in Guizhou were divided into 3 areas (the most suitable, suitable, sub-suitable) objectively. There are 3 areas can plant B. balsamifera (the southwest, the south and the north). The most suitable climate area has 76.98 km², the suitable climate area has 156.04 km², and the sub-suitable climate area has 235.43 km².

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