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制剂因素、工艺参数和选定质量属性对基于羟丙甲纤维素的滚压基质片中控释片释放的影响。

Influence of Formulation Factors, Process Parameters, and Selected Quality Attributes on Carvedilol Release from Roller-Compacted Hypromellose-Based Matrix Tablets.

作者信息

Dular Vovko Aleša, Hodžić Bor, Brec Tina, Hudovornik Grega, Vrečer Franc

机构信息

Krka, d. d., Novo mesto, Šmarješka cesta 6, 8501 Novo mesto, Slovenia.

Faculty of Pharmacy, University of Ljubljana, Aškerčeva cesta 7, 1000 Ljubljana, Slovenia.

出版信息

Pharmaceutics. 2022 Apr 16;14(4):876. doi: 10.3390/pharmaceutics14040876.

Abstract

The importance of roller compaction is recently increasing. This study evaluates the combined effects of formulation factors, process parameters, and selected quality attributes on drug release from roller-compacted hypromellose-based matrix tablets containing carvedilol as a model drug. The influence of selected factors was statistically assessed and good predictive models were developed for various time points of the release profile. The results show that the release profile is mostly affected by the particle size distribution of granules and roll speed. This indicates that the roller compaction process has a major impact on drug release, which is also formulation dependent. A higher d50 and lower d90 value of spatial filtering technique-based particle size distribution results, a lower roll speed, increased hypromellose content, using microcrystalline cellulose as a filler, and higher tablet hardness, resulted in a decrease in the drug release rate. On the other hand, the effect of the roll pressure, size of screen apertures, and d10 values on drug release was insignificant. The significance of the factors was further explained by granule shape, their porosity, and friability evaluation, and by compressibility and compactibility studies of compression mixtures. Additionally, the spatial filtering technique demonstrated to be a promising tool in controlling the roller compaction process.

摘要

滚压法的重要性近来日益增加。本研究评估了配方因素、工艺参数和选定的质量属性对含卡维地洛作为模型药物的滚压羟丙甲纤维素基骨架片药物释放的综合影响。对选定因素的影响进行了统计学评估,并针对释放曲线的不同时间点建立了良好的预测模型。结果表明,释放曲线主要受颗粒的粒度分布和滚压速度影响。这表明滚压过程对药物释放有重大影响,且这种影响也取决于配方。基于空间过滤技术的粒度分布结果中较高的d50和较低的d90值、较低的滚压速度、增加的羟丙甲纤维素含量、使用微晶纤维素作为填充剂以及较高的片剂硬度,导致药物释放速率降低。另一方面,滚压力、筛孔尺寸和d10值对药物释放的影响不显著。通过颗粒形状、孔隙率和脆碎度评估以及压缩混合物的压缩性和成型性研究,进一步解释了这些因素的重要性。此外,空间过滤技术被证明是控制滚压过程的一种有前景的工具。

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