Department of Pharmaceutical Technology, Faculty of Pharmacy, University of Ljubljana, Aškerčeva cesta 7, 1000 Ljubljana, Slovenia.
Department of Pharmaceutical Technology, Faculty of Pharmacy, University of Ljubljana, Aškerčeva cesta 7, 1000 Ljubljana, Slovenia.
J Pharm Sci. 2020 Sep;109(9):2774-2786. doi: 10.1016/j.xphs.2020.04.024. Epub 2020 Jun 2.
This study provides a comprehensive assessment of the parameters of the spherical crystallization process and their impact on the micromeritic properties of lactose spherical agglomerates. A recently introduced definitive screening design was used to study various process parameters, with particular focus on building predictive models. The parameters included were: lactose solution concentration; volume ratio between the antisolvent and the whole crystallization system; crystallization system temperature; velocity of the addition of the lactose water solution; agitation velocity; and agitation time after whole addition of the lactose solution. Their effects on process yield, particle size parameters D10, D50 and D90, particle size distribution, morphological properties (roundness, solidity) and Hausner ratio were studied. Active effects were identified for all of these responses, with quadratic and interaction effects included. Lactose concentration, volume ratio, crystallization system temperature, and agitation velocity were identified as critical process parameters. For every response, a statistical model was built, where those for Hausner ratio, yield and roundness provided the best predictive performances. Based on these models, D10 and yield were successfully optimized. Definitive screening design proved as useful especially in the screening phase; however, additional experiments are needed to build models with high predictive power for all of these responses.
本研究全面评估了球形结晶过程的参数及其对乳糖球形团聚体微粉学性质的影响。采用最近引入的确定性筛选设计来研究各种工艺参数,特别关注建立预测模型。所研究的参数包括:乳糖溶液浓度;反溶剂与整个结晶系统的体积比;结晶系统温度;乳糖水溶液添加速度;搅拌速度;以及乳糖溶液全部添加后的搅拌时间。研究了它们对过程收率、粒径参数 D10、D50 和 D90、粒径分布、形态特性(圆度、密实度)和豪斯纳比的影响。所有这些响应都确定了有效影响,包括二次项和交互项。乳糖浓度、体积比、结晶系统温度和搅拌速度被确定为关键工艺参数。对于每个响应,都建立了一个统计模型,其中豪斯纳比、收率和圆度的模型提供了最佳的预测性能。基于这些模型,成功地优化了 D10 和收率。确定性筛选设计在筛选阶段特别有用;然而,需要额外的实验来为所有这些响应建立具有高预测能力的模型。