Research Progress on Chemical Constituents， Pharmacological Effect and Clinical Applications of Daturae Flos / 中国实验方剂学杂志

Daturae Flos is a traditional antitussive and antiasthmatic medicine， its flowers and leaves are rich in a variety of compounds， including withanolides， alkaloids， terpenes， flavonoids and amides. Because of its antiasthmatic， antitussive， antispasmodic and analgesia effect， it is traditionally used for the treatment of asthma， cough， cold pain in abdominal cavity， rheumatic arthralgia， infantile chronic eclampsia， and can also be used as raw material for surgical anesthesia. Modern pharmacological studies have shown that in addition to the traditional efficacy， Daturae Flos also has anti-inflammatory， immunosuppression， anti-convulsion and other effects， and is often used in the treatment of psoriasis， Parkinson's disease， epilepsy， rheumatoid arthritis and other diseases. At present， the chemical constituents of Daturae Flos are mainly focused on withanolides and alkaloids. At the same time， there is a lack of clear classification of chemical components and the distribution of chemical components in medicinal parts of this medicine， and little information is available for the pharmacological effects of polysaccharides. Based on this， this paper systematically searched relevant literature of Daturae Flos， and summarized and analyzed its chemical composition， pharmacological effect and clinical application， in order to provide reference for further development and utilization of Daturae Flos.

Optimization of polysaccharide extraction from Hippocampus by deep neural network and Box-Behnken design-response surface methodology / 中国中药杂志

In this paper, the extraction rate of crude polysaccharides and the yield of polysaccharides from Hippocampus served as test indicators. The comprehensive evaluation indicators were assigned by the R language combined with the entropy weight method. The Box-Behnken design-response surface methodology(BBD-RSM) and the deep neural network(DNN) were employed to screen the optimal parameters for the polysaccharide extraction from Hippocampus. These two modeling methods were compared and verified experimentally for the process optimization. This study provides a reference for the industrialization of effective component extraction from Chinese medicinals and achieves the effective combination of modern technology and traditional Chinese medicine.