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To identify Glycyrrhizae Radix et Rhizoma from different geographical origins, spectrum and image features were extracted from visible and near-infrared(VNIR, 435-1 042 nm) and short-wave infrared(SWIR, 898-1 751 nm) ranges based on hyperspectral imaging technology. The spectral features of Glycyrrhizae Radix et Rhizoma samples were extracted from hyperspectral data and denoised by a variety of pre-processing methods. The classification models were established by using Partial Least Squares Discriminate Analysis(PLS-DA), Support Vector Classification(SVC) and Random Forest(RF). Meanwhile, Gray-Level Co-occurrence matrix(GLCM) was employed to extract textural variables. The spectrum and image data were implemented from three dimensions, including VNIR and SWIR fusion, spectrum and image fusion, and comprehensive data fusion. The results indicated that the spectrum in SWIR range performed better classification accuracy than VNIR range. Compared with other four pre-processing methods, the second derivative method based on Savitzky-Golay(SG) smoothing exhibited the best performance, and the classification accuracy of PLS-DA and SVC models were 93.40% and 94.11%, separately. In addition, the PLS-DA model was superior to SVC and RF models in terms of classification accuracy and model generalization capability, which were evaluated by confusion matrix and receiver operating characteristic curve(ROC). Comprehensive data fusion on SPA bands achieved a classification accuracy of 94.82% with only 28 bands. As a result, this approach not only greatly improved the classification efficiency but also maintained its accuracy. The hyperspectral imaging system, a non-invasively, intuitively and quickly identify technology, could effectively distinguish Glycyrrhizae Radix et Rhizoma samples from different origins.The wild resources of Paris polyphylla var. yunnanensis, a secondary endangered medicinal plant, are severely scarce. Introduction and cultivation can alleviate market demand. To screen phosphatolytic bacteria in the rhizosphere soil of P. polyphylla var. yunnanensis and provide data support for the development of high-efficiency microbial fertilizer, in this study, the dilution plate coating method was used to isolate and screen the phosphorus solubilizing bacteria with the ability of mineralizing organic phosphorus from the rhizosphere soil of wild and transplanted varieties of P. polyphylla var. yunnanensis in 10 different locations in Yunnan, Sichuan and Guizhou. After separation and purification, the phosphatolytic capacity was analyzed by qualitative and quantitative analysis. Combined with physiological and biochemical experiments, the strains were identified using 16 S rDNA sequencing analysis. Forty one strains were selected from the rhizosphere soil of P. polyphylla var. yunnanensis from 10 differenrganophosphate-dissolving strain Y3-5 is expected to be a candidate strain of P. polyphylla var. yunnanensis microbial fertilizer.The study is aiming at investigating the application of entropy weight TOPSIS method in the comparison of the scavenging effect of DPPH, ABTS and hydroxyl radical and the inhibition effect of xanthine oxidase(XOD) and lipoxygenase(LOX) of Chrysanthemum indicum. The DPPH, ABTS, salicylic acid and spectrophotometry were used to determine the scavenging effect of DPPH, ABTS and hydroxyl radical and the inhibition effect of xanthine oxidase(XOD) and lipoxygenase(LOX) of Ch. indicum from 31 different areas in vitro. Take the half inhibition rate of as the evaluation index, two principal components were extracted by the principal component analysis, and their cumulative contribution rate reached at 92.4%. https://www.selleckchem.com/products/mk-0752.html The different areas of Ch. indicum could be divided into Dabei Mountain and Qinling-Taihang Mountain by use principal component to analysis. The entropy weight TOPSIS method was used to objectively assign weights to five indexes, calculate the weight of each index and set up the best and worst scheme of the evaluation object, and the relative proximity(C_i) was used as the measure to construct the multi-index comprehensive evaluation model of Ch. indicum. And then sort with the relative proximity value. The results showed that the relative proximity was between 0.098 and 0.983 which represents there were significant differences in the scavenging effect of DPPH, ABTS and hydroxyl radical and the inhibition effect of xanthine oxidase(XOD) and lipoxygenase(LOX) between extracts of Ch. indicum from different areas. The Ch. indicum from Dabie Mountain area have a relatively high relative degree of measurement and high-quality ranking. Taken together, the quality of Ch. indicum.from the Dabie Mountain area is better. The index weight coefficient and the classification result of producing area are basically consistent with the result of principal component analysis. The results show that the TOPSIS method based on entropy weight method can be used to evaluate the comprehensive quality of Ch. indicum.The color characteristic information of Rhei Radix et Rhizoma powder was obtained by spectrophotometer, the feasibility of rapid identification of Rhei Radix et Rhizoma origin based on chromaticity value was studied by statistical analysis. The results of rank correlation analysis showed that a~*(P<0.01), b~*(P<0.01) had significantly correlation with the origin of medicinal herbs, which could be used as two important parameters to distinguish the origin of Rhei Radix et Rhizoma, the larger the a~* value, the more red the powder color,and the greater the b~* value, the more yellow the powder color. Meanwhile, through Fisher discriminant analysis, the linear discriminant functions of different genus Rhei Radix et Rhizoma were established, which was Rheum tanguticum=40.666a~*+0.019b~*-213.303, Rh. palmatum=34.121a~*+0.061b~*-151.770, Rh. officinale=28.071a~*+0.113b~*-104.604 3, the coincidence rate of cross-validation was over 95%, among them, the discriminant rate of Rh. tanguticum and Rh. officinale reached 100%;In addition, using the percentile method to analyze the 90% reference value range of three different origin of Rhei Radix et Rhizoma, as a result, Rh. tanguticum a~*(10.236 5-10.604 7), b~*(32.294 8-34.841 7); Rh. palmatum a~*(8.602 7-8.770 0), b~*(27.534 8-28.968 6), and Rh. officinale a~*(6.825 7-7.464 3),b~*(21.001 6-27.716 4). According to this study, rank correlation analysis and Fisher discriminant analysis are feasible to distinguish the base of Rhei Radix et Rhizoma in a certain range, and provide some theoretical basis for the identification of Rhei Radix et Rhizoma. It also provides a new method and idea for the identification of other multi-base Chinese medicine.To study the molecular mechanism of Mahuang Lianqiao Chixiaodou Decoction in the treatment of eczema by means of network pharmacology and molecular docking. First, the TCMSP database was used to excavate the active ingredient of each drug in Mahuang Lianqiao Chixiaodou Decoction and predict its target, and the Uniprot database was used to standardize the names of target proteins, in order to obtain the disease targets of eczema through GeneCards, OMIM, PharmGkb, DrugBank and other databases. And next, the potential targets on which drug targets and disease targets work together were selected to make a Venn diagram, the Cytoscape 3.6.1 software was used to screen out and construct the "active ingredient-core targets" network. STRING database was used to construct a protein-protein interaction(PPI) network, and the R language was used to perform GO enrichment analysis and KEGG pathway analysis. Finally, the molecular docking verification of main active ingredients and core targets of the drug was perfiological processes, and the combination of main active ingredients(such as quercetin, luteolin, wogonin, kaempferol) and key targets(such as MAPK8, MAPK3, JUN, MAPK14, TP53, MAPK1, ESR1, RELA) may be one of the important mechanisms of action.To explore the action mechanism of Xuefu Zhuyu Decoction in treating myocardial infarction based on network pharmaco-logy and molecular docking. Active components and corresponding targets of Xuefu Zhuyu Decoction were obtained through Traditional Chinese Medicine Systems Pharmacology Database(TCMSP), and related targets of myocardial infarction were obtained through GeneCards, DisGeNET, and OMIM databases. Then the intersection targets were obtained by integrating the drug targets and disease targets. The "active component-target" network was constructed by Cytoscape software, and protein-protein interaction(PPI) network was drawn using STRING platform. Protein cluster analysis was carried out using MCODE. GO enrichment analysis and KEGG pathway analysis were carried out using DAVID database and ClueGO, and molecular docking was carried out using Autodock Vina and Pymol. Finally, 226 active components of Xuefu Zhuyu Decoction were obtained, 257 corresponding targets, 1 340 targets of myocardial infarction, and 109 drug and disease intersection targets were obtained. From GO enrichment analysis, 208 biological process terms, 38 molecular function terms, and 33 cellular component terms were obtained. From KEGG pathway analysis, NF-κB signaling pathway, IL-17 signaling pathway, HIF-1 signaling pathway, and other related pathways were obtained. The molecular docking results showed that the main active components(quercetin, kaempferol, β-sitosterol, luteolin, stigmasterol and baicalein) of Xuefu Zhuyu Decoction in the treatment of myocardial infarction had good binding properties with the core proteins IL6, ALB, VEGFA, TNF, MAPK3 and CASP3. The results suggested that Xuefu Zhuyu Decoction may play a role in the treatment of myocardial infarction by reducing the inflammatory response, reducing oxidative stress, inhibiting cell apoptosis, and promoting angiogenesis.Based on the network pharmacology and molecular docking method to explore the molecular mechanism of Shengjiang Powder in treating chronic tonsillitis in children. This research first based on the Traditional Chinese Medicine System Pharmacology(TCMSP) and the Bioinformatics Analysis Tools for Molecular Mechanism of Traditional Chinese Medicine(BATMAN-TCM), the effective active ingredients of the drugs contained in Shengjiang Powder were screened out by the pharmacokinetic(ADME) parameters, the targets were predicted, and then chronic tonsillitis disease in children targets were obtained by GeneCards database. Afterwards, the target protein names were standardized by the Uniprot database. The drug targets were matched with the disease targets to obtain the potential therapeutic targets of Shengjiang Powder. Cytoscape 3.8.0 software was used to screen out and construct the network diagram of "drug-components-core targets-disease". DAVID database and R language were used to conduct the enrichment anal inhibiting inflammation, regulating immunity and other means to play a synergistic effect, so as to provide a theoretical basis for rational clinical application.The network pharmacology and molecular docking methods were used to explore the mechanism of Jinweitai Capsules in the treatment of acute and chronic gastritis, gastric and duodenal ulcers, and chronic colitis. The chemical components of herbs in Jinweitai Capsules were collected through TCMSP, CNKI and PubMed. Target prediction was performed through PubChem and SwissTargetPrediction databases; genes relating to acute and chronic gastritis, gastric and duodenal ulcers, chronic colitis were collected from OMIM database; potential targets of Jinweitai Capsules for relevant gastrointestinal diseases were obtained by Venny analysis; DAVID database was used to perform GO and KEGG enrichment analysis; protein interactions were obtained by STRING database and visua-lized by Cytoscape; AutoDockVina was used for molecular docking of AKT1, EGFR, PTPN11 and its reverse-selected chemical components. Potential mechanisms of Jinweitai Capsules in treating relevant gastrointestinal diseases were clarified according to the results of the docking.