首页> 外文期刊>Drug development and industrial pharmacy >Critical dissolution tests of oral systems based on statistically designed experiments. III. In vitro/in vivo correlation for multiple-unit capsules of paracetamol based on PLS modeling.
【24h】

Critical dissolution tests of oral systems based on statistically designed experiments. III. In vitro/in vivo correlation for multiple-unit capsules of paracetamol based on PLS modeling.

机译:基于统计设计的实验的口腔系统关键溶出度测试。三,基于PLS建模的对乙酰氨基酚多单位胶囊的体外/体内相关性。

获取原文
获取原文并翻译 | 示例
           

摘要

The main aims of the present study were to establish an in vitro/in vivo correlation for multiple-unit capsules of paracetamol by means of statistical prediction models and to investigate the effect of a number of in vitro variables on the discussion rate of paracetamol from the formulation. A fractional factorial screening design was used to investigate the effects of the variables agitation, pH, osmolality, viscosity, and the presence of bile salt on the dissolution rate of paracetamol. The effects were evaluated in two separate partial least-squares models, in which the responses were expressed as the cumulative percentage of paracetamol dissolved at specified time-points (model I) and as the shape (beta) and scale (eta) parameters according to the Weibull function (model II). It was concluded that agitation and viscosity had significant effects on the dissolution rate of paracetamol. Statistical models based on the responses from models I and II were then used to predict the in vitro conditions most closely correlated with the in vitro dissolution of paracetamol after administration of the formulation to 10 healthy volunteers. The predicted optimal in vitro conditions were similar for the two models and not too far from what is expected from the gastrointestinal tract. The experimental verification of the in vitro conditions showed that both models were equally good, and contributed to high degrees of correlation with the in vivo dissolution behavior of the formulation during 9 hr. The relationships obtained when plotting the percentage dissolved in vitro versus in vivo were y = 1.1x (r2 = 0.98) and y = 1.1x (r2 = 0.94) for models I and II, respectively. Based on these results, it is difficult to state a preference for one of the models. Finally, the use of statistical prediction models to develop critical in vitro tests is a successful approach in the establishment of associations between dissolution behavior in vitro and in vivo for oral extended-release systems.
机译:本研究的主要目的是通过统计预测模型建立对乙酰氨基酚多单位胶囊的体外/体内相关性,并研究许多体外变量对扑热息痛讨论率的影响。公式。分数阶乘筛选设计用于研究变量搅拌,pH,重量克分子渗透压浓度,粘度和胆汁盐的存在对扑热息痛溶解速率的影响。在两个单独的局部最小二乘模型中评估了效果,其中响应表示为在指定时间点溶解的对乙酰氨基酚的累积百分比(模型I),并根据以下参数表示为形状(beta)和比例(eta)参数:威布尔函数(模型II)。结论是搅拌和粘度对扑热息痛的溶解速率有显着影响。然后将基于模型I和II的响应的统计模型用于预测与10例健康志愿者服用该制剂后对乙酰氨基酚的体外溶解最密切相关的体外条件。两种模型的预测最佳体外条件相似,与胃肠道的预期相差不远。体外条件的实验验证表明,两种模型都同样出色,并且在9个小时内与制剂的体内溶出行为高度相关。当绘制模型I和模型II的体外溶解百分比与体内溶解百分比时,得到的关系分别为y = 1.1x(r2 = 0.98)和y = 1.1x(r2 = 0.94)。根据这些结果,很难说明对其中一种模型的偏好。最后,使用统计预测模型开发关键的体外试验是建立口服缓释系统体外和体内溶出度之间关联的成功方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号