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Regresní analyza disolu?ního profilu lé?iva a odhad mechanismu uvolňování lé?iva

机译:药物溶出度的回归分析和药物释放机理的估计

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A drug dissolution profile is one of the most important characteristics of the dosage form with controlled drug release. Obtained dissolution data can be used for evaluation of a drug release rate and mechanism of its release from the dosage form. Nowadays various mathematical models can be used for this purpose. An accordance with a particular mathematical model is determined by regression characteristics and by the relevance of the regression model parameter estimation. Since the dissolution curves are not linear with the exception of the zero-order kinetics, the transformation of dependencies into a?linear form is often performed. However, linearization is connected with a change in the deviation magnitudes and the resulting function does not minimize squared deviations. The main aim of this manuscript was to show an overview of basic mathematical models in a form suitable for nonlinear regression which work with original experimental data and to summarize basic steps for determining the drug release mechanism and rate constants.
机译:药物溶出曲线是具有受控药物释放的剂型的最重要特征之一。获得的溶出度数据可用于评估药物释放速率及其从剂型中释放的机理。如今,各种数学模型都可以用于此目的。通过回归特征以及回归模型参数估计的相关性来确定特定数学模型的一致性。由于除零级动力学以外,溶出曲线不是线性的,因此经常执行将依存关系转换为线性形式。但是,线性化与偏差幅度的变化有关,并且所得函数不会使偏差平方最小。该手稿的主要目的是以适合非线性回归的形式展示基本数学模型的概述,该模型可与原始实验数据一起使用,并概述确定药物释放机理和速率常数的基本步骤。

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