Assessing predictability of packing porosity and bulk density enhancements after dry coating of pharmaceutical powders
Assessing predictability of packing porosity and bulk density enhancements after dry coating of pharmaceutical powders
复制标题
DOI：
10.1016/j.powtec.2020.09.037
复制
发表时间：
2021-01
影响因子：
5.2
通讯作者：
Kuriakose T. Kunnath;Liang Chen;K. Zheng;R. Davé
中科院分区：
文献类型：
--
作者：
Kuriakose T. Kunnath;Liang Chen;K. Zheng;R. Davé
基于通过多粗糙接触模型估计的键数和内聚力，对20种不同的药物粉末进行了检查，以预测纳米二氧化硅干涂层后的孔隙率及其减少。尽管尺寸（10-225 μm）、粒度分布、纵横比（1-3.5）、材料密度和分散表面能存在变化，但发现用于干燥涂层后堆密度改进的一阶估计的新模型具有合理的预测性。对于基于Bond数的孔隙率预测模型，微晶纤维素（MCC）辅料为离群值，无论尺寸如何（20-200 μm）。对它们的形状、表面形态和比表面积（SSA）的分析表明，与其他粉末相比，MCC具有与等效球体相比最高的SSA和高宏观粗糙度，同时具有高纵横比。这种独特的特性使它们有效地更具凝聚力，导致它们的包装不依赖于它们的大小，这与以前的模拟一致。
Ability to predict the porosity, and its reduction after nano-silica dry coating, based on the Bond number and cohesion force estimated via multi-asperity contact model was examined for twenty different pharmaceutical powders. A new model for first order estimates of bulk density improvements after dry coating was found to be reasonably predictive despite variations in size (10–225 μm), particle size distribution, aspect ratios (1–3.5), material density, and dispersive surface energy. For the porosity prediction model based on Bond numbers, Microcrystalline Cellulose (MCC) excipients were outliers, regardless of size (20–200 μm). Analysis of their shape, surface morphology and specific surface areas (SSA), indicated that compared to other powders, MCCs had the highest SSA compared to equivalent spheres and high macro-roughness, while having high aspect ratios. This unique characteristic made them effectively more cohesive leading to their poor packing independent of their size, which is in line with previous simulations.