Research Progress on Pharmacological Effects of Ardisia gigantifolia Stapf,a Traditional Chinese Medicine with Lingnan Characteristics

This paper comprehensively reviews the research progress on the pharmacological effects of Ardisia gigantifolia Stapf in recent years,and finds that Ardisia gigantifolia Stapf has good pharmacological effects in many aspects,including anti-inflammation,anti-oxidation,anti-thrombosis,anti-tumor and so on.In particular,more than ten saponins have been found to have good anti-tumor activity and have potential research value,which can provide reference for the full development and utilization of Ardisia gigantifolia Stapf resources.

Optimization of Quality Control Method and Ethanol Extraction Process of Psoralen and Bergapten in Ficus pandurata

[Objectives]To establish a qualitative identification and content determination method for psoralen and bergapten in the roots and leaves of Ficus pandurata,and the multi-indicator scoring method to optimize the ethanol extraction process for the effective parts of F.pandurata.[Methods]Qualitative identification was carried out by thin-layer chromatography(TLC)and content determination was made by high-performance liquid chromatography(HPLC);the content of psoralen and bergapten and extract yield were used as indicators,to investigate the effects of ethanol volume fraction,solid-to-liquid ratio,extraction time and extraction times on the ethanol extraction process of F.pandurata;multi-indicator scoring method was adopted,orthogonal test method was designed to optimize the extraction process,and verification test was performed.[Results]TLC chart of F.pandurata shows clear spots and good separation;the detected concentrations of psoralen and bergapten in the roots are in the range of 1.02-32.64μg/mL and shows a good linear relationship with the peak area(r=0.9997);these components have not been detected in the leaves,and the precision,RSD of stability and repeatability test is less than 2%;the average recovery rate was 99.8%-100.2%,and the RSD value is 1.12%-1.13%(n=6);the optimized extraction process is to use 50%ethanol as the extraction solvent,the solid-to-liquid ratio of 1∶10,reflux extraction of 3 times,and 1.5 h each time;the results of the three batches of verification tests show that the content of the two indicator components obtained is high,and the average value of the total amount is 0.34 mg/g(RSD=0.30%,n=3).[Conclusions]The established quality control method for F.pandurata is simple,easy,accurate and reproducible;the preferred extraction process is stable and feasible,suitable for the extraction and purification of coumarin effective parts in F.pandurata roots,so it is expected to provide references for further development of F.pandurata.

Study on the Mechanism of Atractylodes lancea in the Treatment of Diabetes Based on Network Pharmacology

[Objectives]To predict the mechanism of Atractylodes lancea in the treatment of diabetes by using the method of network pharmacology.[Methods]The active constituents of A.lancea were mined and their action targets were predicted by using TCMSP database,and the targets of diabetes were screened out by GeneCards,and OMIM databases.The"constituent-target-pathway-disease"network of A.lancea in the treatment of diabetes was constructed by using Cytoscape software.The target protein-related interaction network was constructed by STRING database,and the biological function annotation and pathway analysis of key targets were carried out.[Results]The 4 active constituents of A.lancea could treat diabetes by intervening in 47 targets,95 GO biological processes and 116 main biological pathways.[Conclusions]The wogonin,NSC63551,3β-acetoxy atractylone andβ-carotene in A.lancea may regulate nuclear receptor activity,transcription factor activity(directly bind to the ligand-regulated sequence-specific DNA),steroid receptor,G protein-coupled amine receptor activity,sodium-chloride transporter activity,neurotransmitter receptor activity and other pharmacological effects,by mediating AGE-RAGE pathway,IL-17 pathway,PI3K-Akt pathway,p53 pathway,etc.,so as to treat diabetes.

Qualitative Identification and Content Determination of Psoralen in Ficus Pandurata Hance

[Objectives]This study aimed to establish a qualitative identification and content determination method for psoralen in Ficus pandurata Hance and compare the psoralen contents in roots,stems and leaves of F.pandurate Hance and Ficus pandurata Hance var.holophylla Migo.[Methods]Thin-layer chromatography(TLC)was used for qualitative identification,and the content of psoralen was determined by high-performance liquid chromatography.The chromatographic conditions were as follows:column,Agilent ZORBAX Eclipse Plus C18(250 mm×4.6 mm,5μm);mobile phase,methanol-water(55∶45);flow rate,1 mL/min;detection wavelength,246 nm;column temperature,30℃;and injection volume,10μL.[Results]The TLC chromatogram of F.pandurate Hance showed clear spots and good separation.The concentration of psoralen detected in the range of 2.06-41.20μg/mL had a good linear relationship with the peak area(r=0.9999).The RSD values of the precision,stability and reproducibility tests were all less than 2%.The average recovery rate was 100.2%(RSD=1.13%,n=6).[Conclusions]The established method is simple,easy,accurate and reproducible.It can be used for quality control of F.pandurate Hance.

Advances in Pharmacological Research of Psidium Guajava L.Leaves in Resisting Diabetes and Its Complications

Modern pharmacological studies have shown that Psidium Guajava L.leaves have a variety of pharmacological effects,such as anti-inflammation,anti-oxidation,anti-tumor,reducing blood lipid,and reducing blood sugar.In recent years,the effect of Psidium Guajava L.leaves on diabetes and its complications has become the focus of research.This paper reviews the pharmacological research trends of effect of Psidium Guajava L.leaves on diabetes and its complications,in order to provide reference for the application and research and development of this plant.

Nonlinearity Estimation and Compensation for Accurate PMSM Modeling and Voltage Prediction

For permanent magnet synchronous machine(PMSM),the machine model is critical to predict the operating states for motor control,which,however,can be greatly affected by system nonlinearities.Hence,this paper investigates accurate machine modeling for control and parameter estimation.In the proposed approach,the PMSM model with saturated inductances is used as the base model,and this paper investigates modeling and compensation of the offsets to the base model due to system nonlinearities such as saturation and core loss effects for accurate machine modeling and voltage prediction.Specifically,the offsets to the base model are modeled using nonlinear functions with variable coefficients to compensate saturation and core loss effect,which can achieve better accuracy without changing the model structure.A differential estimation model is derived to estimate the model coefficients from a small amount of measurements with simplified procedure.Moreover,the model offset calculation is both computation and memory efficient with simplified implementation.The contribution is to improve the machine model accuracy and achieve precise voltage prediction for practical applications.Experiments,comparisons and the application to temperature estimation are conducted on a test interior PMSM to validate the proposed approach.