Pharmaceutical Materials Science and Engineering Laboratory Department of Pharmaceutics, College of Pharmacy, University of Minnesota, 9-127B Weaver-Densford Hall 308 Harvard Street S.E, Minneapolis, MN, 55455, USA.
Pharm Res. 2017 Dec;34(12):2901-2909. doi: 10.1007/s11095-017-2273-5. Epub 2017 Oct 5.
To systematically assess the dependence of friability on tablet mechanical properties, compaction pressure, and tablet porosity.
Several common excipients and their mixtures exhibiting diverse mechanical properties were analyzed. Tablet elastic modulus, hardness, brittleness, porosity, and tensile strength were determined using standard techniques and then were correlated to tablet friability both individually and as a group to derive a universal model.
Viscoelastic starch exhibits the highest friability followed by brittle excipients (mannitol, DCPA, and LM) and then ductile excipients (HPC and MCC). A reasonably accurate model for predicting pharmaceutically relevant range of friability, up to 3%, of binary mixtures is presented based on friability of individual components. In addition, a multivariate model between friability and different mechanical parameters was developed, based on which the weight loss propensity of tablets may be predicted.
The experimental findings and predictive model are useful for expedited development and optimization of tablet formulation using a minimum amount of API.
系统评估片剂脆性与片剂机械性能、压缩压力和片剂孔隙率的关系。
分析了几种具有不同机械性能的常见赋形剂及其混合物。采用标准技术测定片剂弹性模量、硬度、脆性、孔隙率和拉伸强度,并将其单独和作为一个整体与片剂脆性进行相关性分析,以得出通用模型。
黏弹性淀粉表现出最高的脆性,其次是脆性赋形剂(甘露醇、DCPA 和 LM),然后是韧性赋形剂(HPC 和 MCC)。提出了一种基于各成分脆性的二元混合物预测药物相关脆性范围(高达 3%)的合理准确模型。此外,还基于脆性和不同机械参数之间的多元模型,开发了预测片剂重量损失倾向的方法。
这些实验结果和预测模型有助于在使用最少 API 的情况下加速片剂配方的开发和优化。