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Formulation optimization of paclitaxel carried by PEGylated emulsions based on artificial neural network
Fan, TY; Takayama, K; Hattori, Y; Maitani, Y
关键词artificial neural network emulsions optimization paclitaxel PEGylated
刊名PHARMACEUTICAL RESEARCH
2004-09-01
21期:9页:1692-1697
收录类别SCI
文章类型Article
WOS标题词Science & Technology
类目[WOS]Chemistry, Multidisciplinary ; Pharmacology & Pharmacy
研究领域[WOS]Chemistry ; Pharmacology & Pharmacy
关键词[WOS]KETOPROFEN HYDROGEL FORMULA ; PERCUTANEOUS-ABSORPTION ; VITAMIN-E ; PHARMACOKINETICS ; CHOLESTEROL ; LIPOSOMES ; DELIVERY ; TAXOL
英文摘要

Purpose. To develop paclitaxel carried by injectable PEGylated emulsions, an artificial neural network (ANN) was used to optimize the formulation-which has a small particle size, high entrapment efficiency, and good stability-and to investigate the role of each ingredient in the emulsion.

Methods. Paclitaxel emulsions were prepared by a modified ethanol injection method. A computer optimization technique based on a spherical experimental design for three-level, three factors [ soybean oil (X1), PEG-DSPE (X2) and polysorbate 80 (X3)] were used to optimize the formulation. The entrapment efficiency of paclitaxel (Y1) was quantified by HPLC; the particle size of the emulsions (Y2) was measured by dynamic laser light scattering and the stability of paclitaxel emulsions was monitored by the changes in drug concentration (Y3) and particle size (Y4) after storage at 4degreesC.

Results. The entrapment efficiency, particle size and stability of paclitaxel emulsions were influenced by PEG-DSPE, polysorbate 80, and soybean oil. Paclitaxel emulsions of small size (262 nm), high entrapment efficiency (96.7%), and good stability were obtained by the optimization.

Conclusions. A novel formulation for paclitaxel emulsions was optimized with ANN and prepared. The contribution indices of each component suggested that PEG-DSPE mainly contributes to the entrapment efficiency and particle size of paclitaxel emulsions, while polysorbate 80 contributes to stability.

语种英语
WOS记录号WOS:000223919000025
引用统计
被引频次:16[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.bjmu.edu.cn/handle/400002259/65306
专题北京大学药学院_药剂学系
作者单位1.Hoshi Univ, Inst Med Chem, Tokyo 142, Japan
2.Hoshi Univ, Dept Pharmaceut, Tokyo 142, Japan
3.Peking Univ, Sch Pharmaceut Sci, Dept Pharmaceut, Beijing 100083, Peoples R China
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Fan, TY,Takayama, K,Hattori, Y,et al. Formulation optimization of paclitaxel carried by PEGylated emulsions based on artificial neural network[J]. PHARMACEUTICAL RESEARCH,2004,21(9):1692-1697.
APA Fan, TY,Takayama, K,Hattori, Y,&Maitani, Y.(2004).Formulation optimization of paclitaxel carried by PEGylated emulsions based on artificial neural network.PHARMACEUTICAL RESEARCH,21(9),1692-1697.
MLA Fan, TY,et al."Formulation optimization of paclitaxel carried by PEGylated emulsions based on artificial neural network".PHARMACEUTICAL RESEARCH 21.9(2004):1692-1697.
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