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采用实验与建模相结合的方法研究高剪切湿法制粒工艺参数对颗粒特性的影响。

A combined experimental and modeling approach to study the effects of high-shear wet granulation process parameters on granule characteristics.

机构信息

Drug Product Science and Technology, Bristol-Myers Squibb, New Brunswick, NJ 08901, USA.

出版信息

Pharm Dev Technol. 2013 Feb;18(1):210-24. doi: 10.3109/10837450.2012.700933. Epub 2012 Jul 11.

Abstract

The purpose of the current work is to study the effects of high-shear wet granulation process parameters on granule characteristics using both experimental and modeling techniques. A full factorial design of experiments was conducted on three process parameters: water amount, impeller speed and wet massing time. Statistical analysis showed that the water amount has the largest impact on the granule characteristics, and that the effect of other process variables was more pronounced at higher water amount. At high water amounts, an increase in impeller speed and/or wet massing time showed a decrease in granule porosity and compactability. A strong correlation between granule porosity and compactability was observed. A three-dimensional population balance model which considers agglomeration and consolidation was employed to model the granulation process. The model was calibrated using the particle size distribution from an experimental batch to ensure a good match between the simulated and experimental particle size distribution. The particle size distribution of three other batches were predicted, each of which was manufactured under different process parameters (water amount, impeller speed and wet massing time). The model was able to capture and predict successfully the shifts in granule particle size distribution with changes in these process parameters.

摘要

本工作旨在使用实验和建模技术研究高剪切湿法制粒工艺参数对颗粒特性的影响。在三个工艺参数(用水量、叶轮转速和湿混时间)上进行了全因子实验设计。统计分析表明,用水量对颗粒特性的影响最大,而其他工艺变量在高用水量时的影响更为显著。在高用水量时,叶轮转速和/或湿混时间的增加会导致颗粒孔隙率和可压缩性降低。观察到颗粒孔隙率和可压缩性之间存在很强的相关性。采用考虑团聚和固结的三维颗粒平衡模型来模拟制粒过程。该模型使用实验批次的粒径分布进行校准,以确保模拟和实验粒径分布之间的良好匹配。预测了另外三个批次的粒径分布,每个批次都是在不同的工艺参数(用水量、叶轮转速和湿混时间)下制造的。该模型能够成功地捕捉和预测这些工艺参数变化时颗粒粒径分布的变化。

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