Brandtwatts5299

Artemisiae Argyi Folium,the dried leaves of Artemisia argyi,has been widely used in traditional Chinese and folk medicines for a long time. Qiai is one of the top-geoherb of Artemisiae Argyi Folium. Trying to investigate dynamic changes of chemical components of Qiai in different harvest periods and explore the optimum harvest time of Qiai,in this study,the contents of total flavonoids and total phenolic acids of 36 batches of Qiai collected in 6 different harvest periods were analyzed by ultraviolet-visible spectrophotometry. Furthermore,an HPLC method was applied for simultaneous determination of eight bioactive compounds including six phenolic acids( 5-caffeoylquinic acid,3-caffeoylquinic acid,4-caffeoylquinic acid,3,4-di-O-caffeoylquinic acid,3,5-di-O-caffeoylquinic acid and 4,5-di-O-caffeoylquinic acid) and two flavonoids( jaceosidin and eupatilin) in Qiai samples. The quantitative results indicated that there were some differences in the contents of total flavonoids,total phenolic acids and bioactive compounds of Qiai samples in different harvest periods. The dynamic changes of total flavonoids and total phenolic acids of Qiai in different harvest periods were consistent. The contents of total flavonoids and total phenolic acids of Qiai samples were higher in the third harvest period( around the Dragon Boat Festival),which is basically consistent with the traditional harvest periods. This present study can provide the basis for determining the suitable harvest time of Qiai,and might be useful for the quality evaluation of this herbal medicine.This research was carried out to study the secondary metabolites of endophytic fungus Aspergillosis fumigatus from Euphorbia royleana. The endophytic fungus A. fumigatus was fermented by solid fermentation,and purified by various chromatographic methods after extraction. The structures of the compounds were identified by1 H-NMR,13 C-NMR and HSQC,HMBC spectra and physicchemical properties. Three compounds were isolated and their structures were identified as 3-( 3,4-dihydroxybenzoyl)-5-( 3,4-dihydroxyphenyl)-6-methyl-5,6-dihydro-2 H-pyran-2-one( 1),hydroxysydonic acid( 2) and 11-hydroxysydonic acid( 3). Compound 1 is a new compound.By preparing 10 batches of the material reference of Linggui Zhugan Decoction,the methodology of the characteristic spectrum of the material reference was created. The creaming rate range,the contents and the transfer rate range of cinnamaldehyde,glycyrrhizin and glycyrrhizic acid,the characteristic peaks and the similarity range of the characteristic spectrum of Linggui Zhugan Decoction were determined to clarify key quality attributes of the material reference of Linggui Zhugan Decoction. In the 10 batches of the material reference of Linggui Zhugan Decoction,the similarity of characteristic spectrum was higher than 0. 9. Furthermore,after summarizing the characteristic peak information,we knew that Fuling had two characteristic peaks,Guizhi had six characteristic peaks,Baizhu had two characteristic peaks and Gancao had 11 characteristic peaks. The average creaming rate of the material reference of the ten batches was( 12. 13 ± 0. 35) %. The average content of cinnamaldehyde was 0. 32%,the average transfer rate was 10. 69%,the content of cinnamaldehyde in the different batches was between 0. 22% and 0. 42%,and the transfer rate was between 7. 48% and13. 90%. The average content of glycyrrhizin was 0. 84%,the average transfer rate was 50. 39%,the content of glycyrrhizin in the different batches was between 0. 42% and 1. 26%,and the transfer rate was between 35. 27% and 65. 51%. The average content of glycyrrhizic was 1. 88%,the average transfer rate was 40. 74%,the content of glycyrrhizic in the different batches was between 0. 94% and2. 82%,and the transfer rate was between 28. 52% and 52. 96%. In this paper,the quality value transmitting of substance benchmarks of Linggui Zhugan Decoction was analyzed by the combination of characteristic spectrum,creaming rate and the content of index component. A scientific and stable method was preliminarily established,which provided scientific basis for the quality control and formulation development of Linggui Zhugan Decoction.To optimize the technology of Gardeniae Fructus processed with ginger juice,establish fingerprints and simultaneously determine seven compounds( geniposidic acid,chlorogenic acid,genipin-1-β-D-gentiobioside,geniposide,rutin,crocin Ⅰ,and crocin Ⅱ) by using ultra high performance liquid chromatography( UPLC). Waters ACQUITY UPLC BEH C18( 2. 1 mm×50 mm,1. 7μm) column was used with acetonitrile and 0. 1% formic acid solution as mobile phase for gradient elution at the flow rate of 0. 4 m L·min-1. The data was comprehensively processed and analyzed with similarity evaluation,principal component analysis( PCA) and partial least squares discriminant analysis( PLS-DA) methods. Twenty common peaks were identified in this study,and the similarity of samples was over 0. 97. The results of PCA and PLS-DA showed that there were differences in chemical compositions and contents between the raw Gardeniae Fructus and those processed with ginger juice,with 9 potential differentiated chromatographic peaks. After being processed with ginger juice,the contents of chlorogenic acid,crocin Ⅰ and crocin Ⅱ were less than before and the contents of other four compositions were higher than before. The optimized preparation for Gardeniae Fructus processed with ginger juice was stable and feasible. The methods of UPLC fingerprints and simultaneous determination of seven components can be effectively carried out to distinguish Gardeniae Fructus and Gardeniae Fructus processed with ginger juice.Magnolia Officinalis Cortex has been used as a traditional Chinese herb for thousands of years in China. According to Chinese Pharmacopoeia,the processing of Magnolia Officinalis Cortex needs " sweating" or " Fahan",which was a special drying process and considered to be an important symbol for high quality and genuine medicinal materials. In this unique processing mode,Magnolia Officinalis Cortex's microbial community structure may be changed,but little is known about microbial diversity during the " sweating". In this study,to analyze the change and its change rules of microbial community of Magnolia Officinalis Cortex in the whole process of " sweating",and find out the microbial community that affects the quality of Magnolia Officinalis Cortex in the process of its " sweating",and provide a basis for further research on the microbial transformation of Magnolia Officinalis Cortex,MiSeq highthroughput sequencing was used to evaluate the microbial diversity of natural " sweating" of Magnolia Officinalis study of the influence of different microorganisms on the excellent traits formation of " sweating" Magnolia Officinalis Cortex.The study aimed to investigate the effect of processing on lectin protein in four toxic Chinese medicines tubers of Pinellia ternata,P. pedatisecta,Arisema heterophyllum and Typhonium giganteum. Western blot was used to semi-quantitatively analyze the content of lectin in the four kinds of toxic Chinese medicines and their different processed products. Raw products and lectin were treated by heating or soaking in ginger juice or alum solution. The effects of different excipients and the heating methods on lectin proteins were investigated. The results showed that the content of lectin in raw products of P. pedatisecta,P. ternata,A. heterophyllum,and T. giganteum were 7. 3%,4. 9%,2. 7%,2. 3%,respectively. And the content of lectin in Pinelliae Rhizoma praeparatum cum alumine was 0. 027%. Lectin was not detected in the Pinelliae Rhizoma Praeparatum cum Zingibere et Alumine,Arisaematis Rhizma Praeparatum and Typhonii Rhizoma Praeparatum,which indicated that processing could significantly reduce the content of active lectin in raw products. The results also showed that with the prolongation of soaking and heating time,the content of lectin in raw products decreased gradually,while the content was almost unchanged when soaked in ginger juice alone. The effects of different excipients and heating on lectin were the same as those on raw products. Therefore,the method with alum soaking and heating can reduce the content of active lectin,which is the key to reduce the toxicity of toxic Chinese medicines. In this paper,Western blot was used to study the content of toxic protein in Araceae toxic Chinese medicines as an evaluation method of the processing degree.This paper constructs a prediction model of material attribute-tensile strength based on principal component analysis-radial basis neural network( PCA-RBF),in order to predict the formability of traditional Chinese medicine tablets. Firstly,design Expert8. 0 software was used to design the dosage of different types of extracts,the mixture of traditional Chinese medicine with different physical properties was obtained,the powder properties of each extract and the tensile strength of tablets were determined,the correlation of the original input layer data was eliminated by PCA,the new variables unrelated to each other were trained as the input data of RBF neural network,and the tensile strength of the tablets was predicted. The experimental results showed that the PCA-RBF model had a good predictive effect on the tensile strength of the tablet,the minimum relative error was 0. 25%,the maximum relative error was2. 21%,and the average error was 1. 35%,which had a high fitting degree and better network prediction accuracy. This study initially constructed a prediction model of material properties-tensile strength of Chinese herbal tablets based on PCA-RBF,which provided a reference for the establishment of effective quality control methods for traditional Chinese medicine preparations.A minimal data set( MDS) for soil fertility evaluation of Chrysanthemum plantation areas of Macheng city was established by principal component analysis( PCA) combined with Norm values of soil fertility indices and correlation coefficients among indices. A radar map was used to visually reflect the fertility level of individual indicators. Then,the comprehensive index model was used to calculate the soil fertility quality index( SFQI),and the values of SFQI was used to cluster,and the results showed that MDS was composed of five indicators organic matter( OM),total phosphate( TP),available phosphorus( Av P),available magnesium( Av Mg) and available ferrum( Av Fe). Radar maps showed that the fertility of available phosphorus( Av P) and available copper( Av Cu) was mostly different in the two town,and the fertility of available ferrum( Av Fe) is smallest different. Except for the effective manganese( Av Mn) fertility level of Huangtugang town was higher than that of Futianhe town,the rest were lower than that otilizer and nitrogen fertilizer should be increased appropriately. At the same time,the amount of organic fertilizer should be increased to enhance soil fertility and improve soil physical and chemical properties.This article aims to identify four commonly applied herbs from Curcuma genus of Zingiberaceae family,namely Curcumae Radix( Yujin),Curcumae Rhizoma( Ezhu),Curcumae Longae Rhizoma( Jianghuang) and Wenyujin Rhizoma Concisum( Pianjianghuang). The odor fingerprints of those four herbal medicines were collected by electronic nose,respectively. Meanwhile,XGBoost algorithm was introduced to data analysis and discriminant model establishment,with four indexes for performance evaluation,including accuracy,precision,recall,and F-measure. The discriminant model was established by XGBoost with positive rate of returning to 166 samples in the training set and 69 samples in the test set were 99. 39% and 95. 65%,respectively. The top four of the contribution to the discriminant model were LY2/g CT,P40/1,LY2/Gh and LY2/LG,the least contributing sensor was T70/2. Compared with support vector machine,random forest and artificial neural network,XGBoost algorithms shows better identification capacity with higher recognition efficiency.