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一种通过悬浮颗粒的粒度分布预测其溶解行为的新方法。

A new approach in the prediction of the dissolution behavior of suspended particles by means of their particle size distribution.

作者信息

Tinke A P, Vanhoutte K, De Maesschalck R, Verheyen S, De Winter H

机构信息

Johnson & Johnson Pharmaceutical Research and Development, Department for Global Analytical Development, Turnhoutseweg 30, B-2340 Beerse, Belgium.

出版信息

J Pharm Biomed Anal. 2005 Oct 4;39(5):900-7. doi: 10.1016/j.jpba.2005.05.014. Epub 2005 Jul 14.

Abstract

Though various attempts have been made in literature to model the particle size distribution of an active pharmaceutical ingredient (API) in function of the required release profile of the pharmaceutical product, so far one has not succeeded to develop a universal approach in the correlation of particle size distribution and in vitro dissolution data. In this publication, a new approach is presented on the use of particle size distribution data in the prediction of the in vitro dissolution profile of a suspension formulation. For this purpose, various theoretical experiments were done simply on paper and based on the Noyes-Whitney [A.A. Noyes, W.R. Whitney, J. Am. Chem. Soc. 19 (1897) 930-934] equation, the normalized dissolution profiles of various imaginary size distributions were calculated. For each size distribution, its weighted mean diameters were then calculated. Based on these theoretical data, a model could be developed which scientifically explains the dissolution profile of a suspension in function of its volume-weighted mean particle size (D[4, 3]). The applicability of this correlation model could experimentally be confirmed by evaluation of laser diffraction and in vitro dissolution data as they were obtained for different batches of a suspension formulation. This new approach in the correlation between particle size and dissolution may be an important analytical tool in the engineering of the particle size distribution of drug substance, and more precisely monitoring the D[4, 3] volume-weighted mean diameter may allow one to model the dissolution profile of a suspension formulation and thereby its in vivo release profile.

摘要

尽管文献中已进行了各种尝试,试图根据药品所需的释放曲线来模拟活性药物成分(API)的粒度分布,但到目前为止,尚未成功开发出一种通用方法来关联粒度分布与体外溶出数据。在本出版物中,提出了一种利用粒度分布数据预测混悬剂体外溶出曲线的新方法。为此,仅在纸上进行了各种理论实验,并基于诺伊斯 - 惠特尼[A.A.诺伊斯,W.R.惠特尼,《美国化学会志》19(1897)930 - 934]方程,计算了各种假想粒度分布的归一化溶出曲线。对于每种粒度分布,随后计算其加权平均直径。基于这些理论数据,可以开发一个模型,该模型科学地解释了混悬剂的溶出曲线与其体积加权平均粒径(D[4, 3])的函数关系。通过评估不同批次混悬剂的激光衍射和体外溶出数据,可通过实验证实这种关联模型的适用性。这种粒度与溶出之间关联的新方法可能是原料药粒度分布工程中的一种重要分析工具,更确切地说,监测D[4, 3]体积加权平均直径可能使人们能够模拟混悬剂的溶出曲线,进而模拟其体内释放曲线。

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