首页> 外文期刊>European journal of pharmaceutics and biopharmaceutics: official journal of Arbeitsgemeinschaft fuer Pharmazeutische Verfahrenstechnik e.V >Evaluation of dissolution profile similarity - Comparison between the f(2), the multivariate statistical distance and the f(2) bootstrapping methods
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Evaluation of dissolution profile similarity - Comparison between the f(2), the multivariate statistical distance and the f(2) bootstrapping methods

机译:溶解轮廓相似性的评估 - F(2)之间的比较,多变量统计距离和F(2)引导方法

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摘要

A simulation study is presented, evaluating the performance of the f(2), the model-independent multivariate statistical distance and the f(2) bootstrap methods in the ability to conclude similarity between two dissolution profiles. Different dissolution profiles, based on the Noyes-Whitney equation and ranging from theoretical f(2) values between 100 and 40, were simulated. Variability was introduced in the dissolution model parameters in an increasing order, ranging from a situation complying with the European guidelines requirements for the use of the f(2) metric to several situations where the f(2) metric could not be used anymore. Results have shown that the f(2) is an acceptable metric when used according to the regulatory requirements, but loses its applicability when variability increases. The multivariate statistical distance presented contradictory results in several of the simulation scenarios, which makes it an unreliable metric for dissolution profile comparisons. The bootstrap f(2), although conservative in its conclusions is an alternative suitable method. Overall, as variability increases, all of the discussed methods reveal problems that can only be solved by increasing the number of dosage form units used in the comparison, which is usually not practical or feasible. Additionally, experimental corrective measures may be undertaken in order to reduce the overall variability, particularly when it is shown that it is mainly due to the dissolution assessment instead of being intrinsic to the dosage form. (C) 2016 Published by Elsevier B.V.
机译:提出了一种仿真研究,评估F(2)的性能,模型无关的多变量统计距离和F(2)引导方法的能力,其能够在两个溶出轮廓之间得出相似性。基于NOYES-WHITNEY方程和从100和40之间的理论F(2)值范围的不同的溶解曲线进行了模拟。以越来越多的顺序在溶出模型参数中引入了可变性,从符合欧洲指南使用F(2)度量的情况,从欧洲指导要求到不再使用F(2)度量的几种情况。结果表明,当根据监管要求使用时,F(2)是可接受的公制,但是在变异性增加时失去适用性。多变量统计距离呈现矛盾导致的几个模拟场景,这使得溶出轮廓比较是一种不可靠的度量。 Bootstrap F(2)虽然其结论是保守的是一种替代的合适方法。总体而言,随着可变性的增加,所有讨论的方法都揭示了仅通过增加比较中使用的剂型单元的数量来解决的问题,这通常是不实际或可行的。另外,可以进行实验纠正措施,以降低整体变异性,特别是当表明它主要是由于溶解评估而不是固有的剂型。 (c)2016年由Elsevier B.V发布。

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