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Modeling fluidized bed impregnation of active pharmaceutical ingredients onto porous excipients

机译:将活性药物成分的流化床浸渍造型在多孔赋形剂上

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Impregnation of active pharmaceutical ingredients (APIs) onto porous excipients offers several advantages to solid dosage pharmaceutical preparation over conventional formulation methods. Previous work has successfully introduced fluidized bed (FB) impregnation of APIs onto porous carriers as a robust manufacturing process with numerous benefits (easy to implement, excellent blend uniformity and dissolution kinetics, stabilization of amorphous APIs). This study aims to develop a simple, multi-scale modeling approach to FB impregnation. The model consists of three main parts: (1) an energy/mass balance on the FB and an evaporative flux calculation, (2) an impregnation model for a single particle and (3) a drying model for a single particle. The model allows the calculation of some important process parameters (e.g. product temperature, maximum liquid spray rate) for given drying conditions. These are important process parameters needed to achieve successful impregnation. The model accounts for convection, diffusion and crystallization within the particle. The main characteristic is the 2D modeling of the liquid and API distributions within the particle during impregnation and drying. Several cases are presented to illustrate the effect of some material properties (fast crystallization, slow diffusion, low porosity) on the final API profile. Simulation results regarding API profiles of impregnation are in a very good agreement with experimental measurements carried out in our previous work. (C) 2019 Elsevier Ltd. All rights reserved.
机译:将活性药物成分(API)浸渍到多孔赋形剂上为固体剂量药物制剂提供了常规配方方法的若干优点。以前的工作已成功地将流化床(FB)浸渍到多孔载体上作为具有许多益处的鲁棒制造过程(易于实施,优异的共混均匀性和溶出动力学,无定形APIS的稳定化)。本研究旨在开发一种简单,多规模的建模方法来实现FB浸渍。该模型由三个主要部分组成:(1)FB上的能量/质量平衡和蒸发通量计算,(2)单个颗粒的浸渍模型和(3)单颗粒的干燥模型。该模型允许计算一些重要的工艺参数(例如产品温度,最大液体喷射率),用于给定干燥条件。这些是实现成功浸渍所需的重要过程参数。模型用于对流,颗粒内的对流,扩散和结晶。主要特征是浸渍和干燥过程中颗粒内的液体和API分布的2D建模。提出了几种案例以说明最终API轮廓上的一些材料特性(快速结晶,慢散射,低孔隙率)的效果。关于浸渍API概况的仿真结果与我们以前的工作中进行的实验测量非常吻合。 (c)2019年elestvier有限公司保留所有权利。

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