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中心复合设计法优化盐酸左氧氟沙星缓释片处方
引用本文:裴志强,尹莉芳,周建平.中心复合设计法优化盐酸左氧氟沙星缓释片处方[J].药学进展,2007,31(11):508-512.
作者姓名:裴志强  尹莉芳  周建平
作者单位:中国药科大学药剂教研室,江苏,南京,210009
摘    要:目的:采用中心复合设计法预测盐酸左氧氟沙星缓释片的最优处方。方法:选用羟丙基甲基纤维素和乙基纤维素为骨架材料制备盐酸左氧氟沙星缓释片。采用中心复合设计法,选择体外累积释放百分率为考察指标,对羟丙基甲基纤维素和乙基纤维素用量2个考察因素自变量进行多元线性回归和二项式拟合,对缓释片的最优处方进行预测,并分析缓释片的释药机制。结果:经预测分析,获得最优处方。通过相似因子法比较显示,由此优化处方所制缓释片释放度实测值与预测值基本相符。缓释片体外释药符合一级动力学特征,释药机制为非Fick-ian扩散。结论:中心复合设计法预测性良好,可用于优化处方。

关 键 词:中心复合设计  盐酸左氧氟沙星  缓释片  处方优化  释放度
文章编号:1001-5094(2007)11-0508-05
收稿时间:2007-10-19
修稿时间:2007年10月19

Optimization of Levofloxacin Hydrochloride Sustained-release Tablets by Central Composite Design
PEI Zhi-qiang,YIN Li-fang,ZHOU Jian-ping.Optimization of Levofloxacin Hydrochloride Sustained-release Tablets by Central Composite Design[J].Progress in Pharmaceutical Sciences,2007,31(11):508-512.
Authors:PEI Zhi-qiang  YIN Li-fang  ZHOU Jian-ping
Institution:Department ofPharmaceutics, China Pharmaceutical University, Nanjing 210009, China
Abstract:Objective: To predict the optimal formulation of levofloxacin hydrochloride sustained-release tablets by Central Composite Design.Methods: HPMC and EC were used to prepare levofloxacin hydrochloride sustained-release tablets as matrix materials.Using the in vitro accumulative dissolution at different sampling time as the evaluation index and the amounts of HPMC and EC as the independent variables,the optimal formulation of the sustained-release tablets was predicted via multiple linear regression and binomial fitting by Central Composite Design.And their dissolution mechanism was analyzed.Results: The measured dissolution of the optimal formulation appeared to essentially agree with the predicted dissolution seen by f2 test.The in vitro dissolution of the sustainedrelease tablets followed first order kinetics,of which the mechanism was non-Fickian diffusion.Conclusion: Central Composite Design has a good predictability and could be used to optimize the formulation.
Keywords:Central Composite Design  Levofloxacin hydrochloride  Sustained-release tablet  Formulation optimization  Dissolution
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