[Chemical pattern recognition of Atractylodes chinensis from different producing areas and establishment of quantitative analysis of multi-components by single marker (QAMS) method for four components].

This study established the fingerprint and combined it with chemical pattern recognition to evaluate the quality of Atractylodes chinensis samples from different producing areas and then employed the quantitative analysis of multi-components by single marker(QAMS) method to verify the feasibility and applicability of the established method in the quality evaluation of A. chinensis. The fingerprints of A. chinensis samples were constructed via high performance liquid chromatography(HPLC) to evaluate the inter-batch consistency. With the quality control component atractylodin as the internal reference, the relative correction factors(RCFs) were established for atractylenolide Ⅰ, atractylenolide Ⅲ, and ß-eudesmol and the content of the four components was calculated. The external standard method was used to verify the accuracy of QAMS method. The quality of A. chinensis was further evaluated by similarity analysis, clustering analysis, and principal component analysis. The fingerprints of 13 batches of samples were calibrated with 21 common peaks, and 4 common peaks were identified with the similarities all above 0.9. The RCFs established with atractylodin as the internal reference represented good reproducibility under different experimental conditions. Specifically, the RCFs of atractylenolide Ⅰ, atractylenolide Ⅲ, and ß-eudesmol in A. chinensis were 2.091, 4.253, and 6.010, respectively. QAMS and ESM showed no significant difference in the results, indicating that the QAMS method established in this study was stable and reliable. Thus, HPLC fingerprint combined with QAMS can be used for the quality evaluation of A. chinensis, providing a basis for comprehensive and rapid quality evaluation of A. chinensis.

[Discussion on medicinal value of Saposhnikoviae Radix based on difference of ketone content in cortex and wood of Saposhnikoviae Radix].

In order to confirm the tradition that bolting Saposhnikoviae Radix could not be used as medicine,the content of four chromone components in the cortex and wood of Saposhnikoviae Radix was analyzed by high performance liquid chromatography( HPLC),and the chemical fingerprints were established,12 common peaks were calibrated. The similarity analysis found that the similarity between batches was 0. 115-0. 995,it indicates that the cortex and wood of Saposhnikoviae Radix have certain differences. On this basis,systematic clustering analysis,principal component analysis and orthogonal partial least squares discriminant analysis were carried out with the content of four chromone components and whether they met the pharmacopoeia criteria as the original variables. The results showed that the content of the four components in the cortex of Saposhnikoviae Radix was much higher than that in the wood,and the four components detected were able to distinguish the cortex and the wood of Saposhnikoviae Radix. The results of the study reveal the tradition that bolting Saposhnikoviae Radix should not be used as medicine dut to decreased quality.

[Climatic division of Blumea balsamifera in Guizhou province based on topographical conditions].

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.

[Correlation analysis between quality characteristics and commercial specifications of Panacis Quinquefolii Radix].

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.

Determination of multiple elements in samples of the medicinal plant Marsdenia tenacissima and estimation of geographic origin via pattern recognition techniques.

Multi-element analysis of the medicinal plant Marsdenia tenacissima was used to develop a reliable method of tracing the geographical source of the samples. The concentrations of 27 elements in 128 samples from 4 provinces in China were analyzed by inductively coupled plasma-atomic emission spectroscopy. Pattern recognition techniques, viz. principal component analysis (PCA), cluster analysis (CA), stepwise linear discriminant analysis (SLDA) and k-nearest neighbor analysis (KNN), were used for this purpose. It was verified that 21 elements in the M. tenacissima samples from different regions showed significant differences (P < 0.05). The PCA explained 87.36 % of the variance with the first seven principal component variables, and a score plot produced from the largest three principal components showed that the source area of most samples could be correctly distinguished. The CA showed that samples were separated into three clusters. The SLDA produced an overall correct classification rate of 87.5 % and a cross-validation rate of 85.2 %. The KNN analysis performed ideally, with an average identification rate of 100 % for the training set and 93.33 % for the test set. These results laid the foundation for the application of multi-element analysis combined with pattern recognition techniques for tracing the geographical origin of samples of medicinal plants.

[FTIR fingerprint spectrograms of traditional Chinese medicine Marsdenia tenacissima].

In this paper, Fourier transform infrared spectroscopy fingerprint analysis of Marsdenia tenacissima samples was used to develop a reliable method of tracing the geographical origins. Forty-eight samples from four provinces of China were analyzed by FTIR. We analyzed and characterized the fingerprints in both the full spectrum peaks and characteristic peaks, then the principal component analysis and the cluster analysis were carried out. The results of fingerprint analysis, correlation analysis, principal component analysis and cluster analysis can identify the geographic origins correctly, which verified and supplemented each other; the identification results and the actual location showed a high degree of consistency, namely the lower the space distance, the greater the similarity of different samples. These results revealed the obvious superiority and practical value in comparison to the more tedious and time-consuming wet chemistry method normally used. Using appropriate metrology methods can trace the geographical source correctly. The M. tenacissima materials from the region of Maguan should be considered as genuine medicinal materials taking into account the good quality.