Leveraging a multivariate approach towards enhanced development of direct compression extended release tablets

被引:5
|
作者
Sousa, A. S. [1 ,2 ]
Serra, J. [2 ]
Estevens, C. [2 ]
Costa, R. [2 ]
Ribeiro, A. J. [1 ,3 ,4 ]
机构
[1] Univ Coimbra, Fac Farm, P-3000148 Coimbra, Portugal
[2] Grp Tecnimede, Quinta Cerca, P-2565187 Dois Portos, Portugal
[3] IBMC, I3S, Rua Alfredo Allen, P-4200135 Porto, Portugal
[4] Univ Coimbra, Fac Farm, Coimbra, Portugal
关键词
Extended release; Excipient characterization; Direct compression; Multivariate data analysis; Principal component analysis; MICROCRYSTALLINE CELLULOSE; PHARMACEUTICAL EXCIPIENTS; CLASSIFICATION-SYSTEM; TENSILE-STRENGTH; ELASTIC RECOVERY; DRUG-RELEASE; COMPACTION; POWDER; IMPACT; SPEED;
D O I
10.1016/j.ijpharm.2023.123432
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Extended release formulations play a crucial role in the pharmaceutical industry by maintaining steady plasma levels, reducing side effects, and improving therapeutic efficiency and compliance. One commonly used method to develop extended release formulations is direct compression, which offers several advantages, such as simplicity, time savings, and cost-effectiveness. However, successful direct compression-based extended release formulations require careful assessment and an understanding of the excipients' attributes. The scope of this work is the characterization of the compaction behavior of some matrix-forming agents and diluents for the development of extended release tablets. Fifteen excipients commonly used in extended release formulations were evaluated for physical, compaction and tablet properties. Powder properties (e.g., particle size, flow properties, bulk density) were evaluated and linked to the tablet's mechanical properties in a fully integrated approach, and data were analyzed by constructing a principal component analysis (PCA). Significant variability was observed among the various excipients. The present work successfully demonstrates the applicability of PCA as an effective tool for comparative analysis, pattern and clustering recognition and correlations between excipients and their properties, facilitating the development and manufacturing of direct compressible extended release formulations.
引用
收藏
页数:16
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