当活性成分难溶或被缓释时,制剂的生物利用度就特别重要,在这些情况下,制剂的处方和活性成分的释放速度明显影响该制剂的治疗效果。因此,设计测定制剂中活性成分的释放量的方法和计算从这些方法所得的结果就很重要。为了研究和测试药物,需要一些能够根据药物体外试验获得的数据去预测体内释放结果的技术。一个能根据体外释放数据去预测血药浓度曲线形状的数学模型是非常有用的。用数学模型得到的理论曲线与实际测得的体内药物浓度所获得的曲线相比较,结果表明,体外方法和体内情况非常有关。应用 The bioavailability of a formulation is of particular importance when the active ingredient is poorly soluble or slowly released, in which case the formulation’s formulation and the rate of release of the active ingredient significantly affect the therapeutic effect of the formulation. Therefore, it is important to design methods of determining the amount of active ingredient released from a formulation and to calculate the results obtained from these methods. In order to study and test the drug, some techniques are needed to predict the in vivo release based on the data obtained from the in vitro drug trials. A mathematical model that can predict the shape of a plasma concentration curve based on in vitro release data is very useful. Comparing the theoretical curve obtained with the mathematical model with the actual measured in vivo drug concentration, the results show that the in vitro method is very relevant to the in vivo situation. application