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首页> 外文期刊>Pharmaceutical development and technology >Development of a predictive in vitro dissolution for clarithromycin granular suspension based on in vitro-in vivo correlations
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Development of a predictive in vitro dissolution for clarithromycin granular suspension based on in vitro-in vivo correlations

机译:基于体内外相关性的克拉霉素颗粒悬浮液预测性体外溶出研究

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The objective of this study was to evaluate the in vitro behavior of different clarithromycin granular suspensions based on a developed in vitro-in vivo correlation model, using one reference and two test formulations. In vitro release rate data were obtained for each product using the USP apparatus II, operated at 50 rpm under different pH conditions. The dissolution efficiency was used to analyze the dissolution data. In vivo study was performed on six healthy male volunteers under fasting condition. Correlation was made between in vitro release and in vivo absorption. A linear model was developed using percent absorbed data versus percent dissolved data from the three products. Dissolution condition of 0.1 N HCI for 1 h and then phosphate buffer at pH 6.8 was found to be the most discriminating dissolution method. Rate of absorption for the reference as estimated by Wagner-Nelson deconvolution was correlated with in vitro release with a correlation coefficient of 0.99. The in vivo results for the two test products were compared to the predicted values using the reference model with a correlation coefficient of 0.94. Furthermore, multiple level C correlations were obtained for some pharmacokinetic parameters with the corresponding in vitro kinetic parameters with correlation coefficients exceeding 0.90. Moreover, the interpretation of the in vitro and in vivo data with reference to formulations was discussed.
机译:这项研究的目的是使用一种参考和两种测试配方,基于已开发的体内-体外相关模型,评估不同的克拉霉素颗粒悬浮液的体外行为。使用USP设备II在50 rpm下在不同pH条件下操作,获得每种产品的体外释放速率数据。溶出效率用于分析溶出数据。在禁食条件下对六名健康男性志愿者进行了体内研究。在体外释放和体内吸收之间建立了相关性。使用三种产品的吸收百分比数据与溶解百分比数据开发了线性模型。 0.1 N HCl的溶解条件1 h,然后在pH 6.8的磷酸盐缓冲液中被发现是最有区别的溶解方法。 Wagner-Nelson反卷积估计的参考吸收率与体外释放相关,相关系数为0.99。使用参考模型将两种测试产品的体内结果与预测值进行比较,相关系数为0.94。此外,对于某些药代动力学参数以及相应的体外动力学参数,其相关系数超过0.90,获得了多级C相关性。此外,讨论了关于制剂的体外和体内数据的解释。

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