Objective:To establish a rapid quantitative model for the determination of moisture,extractives,and content in Pollen Typhae.Methods:Near-infrared spectra of 91 batches of Pollen Typhae samples were collected.Spectral preprocessing was performed using S-G,MSC,SNV,and CWT methods.Variable selection was conducted using CARS,SPA,and VIP methods,and compared with full-spectrum modeling.Partial least squares(PLS)mod-els were established for the quantitative determination of moisture,total ash,extractives,and content.The model performance was evaluated by calculating the coefficient of determination for the calibration set and validation set(R2 c,R2v),root mean square error of calibration and validation(RMSEc,RMSEv),and residual prediction devia-tion(RPD).Results:The PLS models for moisture,extractives,and content in Pollen Typhae showed R2c and R2v values greater than 0.9,RMSEc and RMSEv values approaching 0,and RPD values greater than 3.Conclusion:In this study,near-infrared spectroscopy was used to construct quantitative prediction models for moisture,extractives,typhaneoside,and isorhamnetin-3-O-neohesperidoside content in Pollen Typhae.This method enables rapid detection of the main quality control indicators of Pollen Typhae,providing strong technical support for its quality supervision.

Objective:To establish a rapid quantitative model for the determination of moisture,extractives,and content in Pollen Typhae.Methods:Near-infrared spectra of 91 batches of Pollen Typhae samples were collected.Spectral preprocessing was performed using S-G,MSC,SNV,and CWT methods.Variable selection was conducted using CARS,SPA,and VIP methods,and compared with full-spectrum modeling.Partial least squares(PLS)mod-els were established for the quantitative determination of moisture,total ash,extractives,and content.The model performance was evaluated by calculating the coefficient of determination for the calibration set and validation set(R2 c,R2v),root mean square error of calibration and validation(RMSEc,RMSEv),and residual prediction devia-tion(RPD).Results:The PLS models for moisture,extractives,and content in Pollen Typhae showed R2c and R2v values greater than 0.9,RMSEc and RMSEv values approaching 0,and RPD values greater than 3.Conclusion:In this study,near-infrared spectroscopy was used to construct quantitative prediction models for moisture,extractives,typhaneoside,and isorhamnetin-3-O-neohesperidoside content in Pollen Typhae.This method enables rapid detection of the main quality control indicators of Pollen Typhae,providing strong technical support for its quality supervision.

This research is to predict anti-Alzheimer's disease active constituents on the target of acetylcholinesterase(AChE) from Glycyrrhizae Radix et Rhizoma with the help of pharmacophore and molecular docking. AChE ligand-based pharmacophore model was set up and the molecular library of the constituents from Glycyrrhizae Radix et Rhizoma were established by collecting literature. Then the constituents from Glycyrrhizae Radix et Rhizoma were screen for the potential AChE inhibitory potency in silico through matching with the best pharmacophore model. The flexible docking was used to evaluate the interactions between compounds screened from pharmacophore model and AChE protein(PDB ID:4 EY7). The interactions were expressed including but not limited to CDOCKER interaction energy, hydrogen bonds and non-bonding interactions. The molecular library of Glycyrrhizae Radix et Rhizoma contains 44 chemical constituents. As for the pharmacophore model, six kinds of potential AChE inhibitory constituents from Glycyrrhizae Radix et Rhizoma were considered to be the promising compounds according to the results of searching 3 D database of pharmacophore model. The molecular docking was possessed and the interaction patterns were given to show the detail interactions. The compounds screening from the pharmacophore model were consistent with the existing studies to some degree, indicating that the virtual screen protocols of AChE inhibitory constituents from Glycyrrhizae Radix et Rhizoma based on pharmacophore and molecular docking was reliable.
Drugs, Chinese Herbal ; Glycyrrhiza ; Molecular Docking Simulation ; Rhizome ; Triterpenes

BACKGROUNDVenous thromboembolism is known to be an important social and health care problem because of its high incidence among patients who undergo surgery. Studies on the mechanical prophylaxis of thromboembolism after gynaecological pelvic surgery are few. The aim of our study was to evaluate the effect of mechanical thromboembolism prophylaxis after gynaecological pelvic surgery using a combination of graduated compression stockings (GCS) and intermittent pneumatic compression (IPC) or GCS alone.

METHODSThe study was performed on 108 patients who were randomly assigned to two groups. The first group received GCS before the operation and IPC during the operation (IPC + GCS group). The second group received GCS before the operation (GCS group). To analyze the effect of the preventive measures and the laboratory examination on the incidence of thrombosis and to compare the safety of these measures, the incidence of adverse reactions was assessed.

RESULTSThe morbidity associated with DVT was 4.8% (5/104) in the IPC + GCS group and 12.5% (14/112) in the GCS group. There were significant statistical differences between the two groups. There were no adverse effects in either group.

CONCLUSIONSThe therapeutic combination of GCS and IPC was more effective than GCS alone for thrombosis prevention in high-risk patients undergoing gynaecological pelvic surgery, and there were no adverse effects in either group.

Aged ; Female ; Gynecologic Surgical Procedures ; adverse effects ; Humans ; Intermittent Pneumatic Compression Devices ; Male ; Middle Aged ; Pelvis ; surgery ; Stockings, Compression ; Thromboembolism ; etiology ; prevention & control ; Venous Thrombosis ; etiology ; prevention & control