中国现代中药2026,Vol.28Issue(3):565-574,10.DOI:10.13313/j.issn.1673-4890.20250624007
基于响应面法、BP神经网络结合GA的蛇床子素纳米混悬剂制备工艺优化及体外评价
Preparation Process Optimization of Osthole Nanosuspension Based on Response Surface Method,BP Neural Network Combined with GA and in vitro Evaluation
摘要
Abstract
Objective:To prepare osthole nanosuspension(OST-NS)and evaluate its drug release in vitro.Methods:OST-NS was prepared via the miniaturized media milling method.With average particle size and polydispersity coefficient(PDI)as the evaluation indexes,the preparation process of OST-NS was optimized by Box-Behnken response surface method,back propagation(BP)neural network combined with genetic algorithm(GA),and the lyophilized OST-NS powder was prepared.OST-NS was characterized by transmission electron microscopy(TEM),differential scanning calorimetry(DSC),X-ray diffraction(XRD),and Fourier transform infrared spectroscopy(FT-IR),and its in vitro release was evaluated via the dialysis bag method.Results:The preparation conditions of OST-NS were as follows:osthole dosage of 60 mg,saponin dosage of 50.39 mg,zirconia bead volume of 4.3 mL,grinding speed of 1 200 r·min-1(centrifugal radius of 1.5 cm),and grinding time of 2.9 h.The OST-NS prepared with the optimal process showed the average particle size of 237.1 nm,PDI of 0.219,and Zeta potential of-34.4 mV.The in vitro release results showed that the cumulative release of OST-NS after 24 h was(92.68±0.69)%,which conformed to the First-order release model.The appearance of OST-NS was spherical.DSC and FT-IR results indicated that osthole was dispersed in the nanosuspension in an amorphous state or completely encapsulated by the stabilizer,which was beneficial for its dissolution.Conclusion:The preparation process of OST-NS is reasonable and feasible,and it can improve the dissolution of OST.关键词
蛇床子素/纳米混悬剂/微型化介质研磨法/Box-Behnken响应面法/反向传播神经网络/体外释放Key words
osthole/nanosuspension/miniaturized media milling method/Box-Behnken response surface method/BP neural network/in vitro release分类
医药卫生引用本文复制引用
胡宇峰,王英姿,朱海婷,张俊丽,张新宁,姜明瑞,徐鹏,毛易凡,陈文静,王晓宇..基于响应面法、BP神经网络结合GA的蛇床子素纳米混悬剂制备工艺优化及体外评价[J].中国现代中药,2026,28(3):565-574,10.基金项目
国家中医药管理局高水平中医药重点学科建设学科项目(zyyzdxk-2023272) (zyyzdxk-2023272)