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Experiments and numerical modeling to estimate the coating variability in a pan coater.

机译:通过实验和数值模型来估计锅式涂布机中涂层的可变性。

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The purpose of this work is to investigate the effect of the coating process parameters on coating performance and coating variability, and hence determine the optimal operating conditions. Coating of particles is done to mask the unpleasant taste or odor of the drug, to control the bioavailability of the API, and to increase shelf-life. The coating solution is sprayed in specific locations of the granular bed and coating uniformity is achieved by interparticle collisions and overall mixing behavior in the coater. Thus, good understanding of particle flow and granular mixing in a pan coater is vital to optimize the process parameters to reduce coating variability. Coating experiments are performed at previously determined optimal mixing conditions using Lactose nonpareils. The coating fluid (aqueous solution of Opadry II) is sprayed intermittently at different flow rates and concentration. Vernier Caliper is used to measure the change in diameter and the coating of the particles. Moreover, DEM based numerical modeling of spray coating is also performed for same operational parameter set and spray characteristic (center and the radius of the spray zone) used in the experiments. DEM simulation provides the residence time distribution of all the particles passing through the spray zone. The coating variability in the experiments is estimated at different pan and spray variables. The coating variability decreases with the increase inpan tilt, coating time and an optimum speed. The spray characteristics does not seem to have much effect on the variability although better coating is observed under better mixing conditions of high tilt and pan speed for the same spray parameters. The mass distribution of coated particles is quantified in the numerical model by the total number of particles passing through the spray zone and also by the frequency distribution of the residence time of the coated particles. It is observed that the simulations are in good agreement with the experiments for the effect of orientation (tilt) of the pan coater on coating variability. However simulations over predicted the effect of speed as compared to the experiments to reach the minimum coating variability. In the current study, the experimental setup did not reflect the typical bead coating setup used in the industry; rather depict a simplified setup to validate the numerical model.
机译:这项工作的目的是研究涂层工艺参数对涂层性能和涂层变异性的影响,从而确定最佳操作条件。进行颗粒包衣以掩盖药物的令人不快的味道或气味,以控制API的生物利用度,并增加保质期。在颗粒床的特定位置上喷涂包衣溶液,并通过颗粒间的碰撞和包衣机中的整体混合行为来实现包衣均匀性。因此,充分了解锅包衣机中的颗粒流和颗粒混合对于优化工艺参数以减少包衣变化至关重要。使用乳糖无糖在预先确定的最佳混合条件下进行包衣实验。以不同的流速和浓度间歇地喷涂涂料液(Opadry II水溶液)。游标卡尺用于测量直径和颗粒涂层的变化。此外,还对实验中使用的相同操作参数集和喷涂特性(喷涂区域的中心和半径)执行了基于DEM的喷涂涂层数值模拟。 DEM模拟提供了通过喷雾区域的所有颗粒的停留时间分布。在不同的锅和喷雾变量下估计实验中的涂层可变性。涂层的可变性随着锅内倾角,涂层时间和最佳速度的增加而降低。尽管在相同的喷雾参数下,在高倾斜度和水平旋转速度的更好混合条件下观察到更好的涂层,但喷雾特性似乎对可变性没有太大影响。涂层颗粒的质量分布在数值模型中通过穿过喷雾区的颗粒总数以及涂层颗粒停留时间的频率分布来量化。可以看出,模拟与锅式涂布机的取向(倾斜)对涂层可变性的影响的实验吻合得很好。然而,与达到最小涂层可变性的实验相比,模拟过度预测了速度的影响。在当前的研究中,实验设置没有反映出行业中使用的典型的珠粒涂层设置。而是描述简化的设置以验证数值模型。

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