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作 者:俞炎彧 叶晨星 邹纯才 鄢海燕 YU Yanyu;YE Chenxing;ZOU Chuncai;YAN Haiyan(Pharmacy School of Wannan Medical College,Wuhu 241002,China)
出 处:《山东第一医科大学(山东省医学科学院)学报》2024年第12期710-718,共9页Journal of Shandong First Medical University & Shandong Academy of Medical Sciences
基 金:安徽高校省级自然科学研究重大项目(KJ2016SD60);安徽省省级质量工程项目(2019kfkc084)安徽省高等学校省级质量工程一流教材建设项目(2020yljc129);皖南医学院药剂学一流本科课程(2019ylkc017)。
摘 要:目的 优化白芍甘草脐贴(简称脐贴)处方。方法 采用体外经皮渗透试验并利用高效液相指纹图谱(high performance liquid chromatography,HPLC)法,以外观、8种指标成分累积释放度、总成分累积释放度为评价指标,采用单因素试验、Box-Behnken响应面法结合GA-BP神经网络优化脐贴处方中载药量、促渗剂用量、微粉硅胶占PEG6000和PEG4000总量的比例,确定最佳处方。结果 Box-Behnken响应面法和GA-BP神经网络优化的综合评价指标分别为1.2808(n=3,RSD=3.05%)、1.1937(n=3,RSD=2.26%),经对比及验证,脐贴最佳处方为微粉硅胶占PEG6000和PEG4000总量的比例为9.71%,载药量为24.56%,肉豆蔻异丙酯用量为2.87%。结论 利用Box-Behnken响应面法结合GA-BP神经网络择优确定了脐贴最佳处方,该处方制得的脐贴软硬适中,具有良好的皮肤渗透性。Objective:To optimize the prescription of Paeoniae Radix Alba and Glycyrrhiza umbilical patches(referred to as umbilical patches).Methods:Sing transdermal penetration test in vitro and high performance liquid chromatography(HPLC)with the appearance,cumulative release of 8 indicator ingredients and that of total ingredients as evaluation indexes and optimizing the drug loading,penetration enhancer dosage and the ratio of PEG6000 and PEG4000 to micro-powder silica gel by single factor test and Box-Behnken response surface method combined with GA-BP neural network to determine the best prescription.Results:The comprehensive evaluation indexes of Box-Behnken response surface method and GA-BP neural network optimization were 1.2808(n=3,RSD=3.05%)and 1.1937(n=3,RSD=2.26%),respectively.After comparison and verification,the optimal prescription process for Paeoniae Radix Alba and Glycyrrhiza was 9.71%of micro-powder silica gel to PEG,24.56%of drug loading and 2.87%of penetration enhancer.Conclusion:The optimal prescription of umbilical patches was determined by Box-Behnken response surface test combined GA-BP neural network.The umbilical patches prepared by this prescription have moderate softness and hardness,and good skin permeability.
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