Department of Pharmaceutics, Hoshi University, Tokyo, 142-8501, Japan.
J Pharm Sci. 2013 Oct;102(10):3678-86. doi: 10.1002/jps.23675. Epub 2013 Jul 29.
Tablet characteristics of tensile strength and disintegration time were predicted using residual stress distribution, simulated by the finite element method (FEM). The Drucker-Prager Cap (DPC) model was selected as the method for modeling the mechanical behavior of pharmaceutical powders composed of lactose (LAC), cornstarch (CS), and microcrystalline cellulose (MCC). The DPC model was calibrated using a direct shear test and analysis of the hardening law of the powder. The constructed DPC model was fed into the analysis using the FEM, and the mechanical behavior of pharmaceutical powders during compaction was analyzed using the FEM. The results revealed that the residual stress distribution of the tablets was uniform when the compression force increased. In particular, the residual stress distribution of tablets composed of equal amounts of LAC, CS, and MCC was more uniform than the tablets composed of 67% LAC and 33% CS, with no MCC. The tensile strength and disintegration time were predicted accurately from the residual stress distribution of tablets using multiple linear regression analysis and partial least squares regression analysis. This suggests that the residual stress distribution of tablets is related closely to the tensile strength and disintegration time.
利用有限元法(FEM)模拟的残余应力分布来预测片剂的拉伸强度和崩解时间的片剂特性。选择 Drucker-Prager Cap(DPC)模型作为建模由乳糖(LAC)、玉米淀粉(CS)和微晶纤维素(MCC)组成的药用粉末的机械行为的方法。使用直接剪切试验和粉末硬化规律分析对 DPC 模型进行了校准。将构建的 DPC 模型输入到使用 FEM 的分析中,并使用 FEM 分析粉末在压缩过程中的机械行为。结果表明,当压缩力增加时,片剂的残余应力分布均匀。特别是,由等量的 LAC、CS 和 MCC 组成的片剂的残余应力分布比由 67% LAC 和 33% CS 组成且不含 MCC 的片剂更均匀。使用多元线性回归分析和偏最小二乘回归分析可以准确地从片剂的残余应力分布预测片剂的拉伸强度和崩解时间。这表明片剂的残余应力分布与拉伸强度和崩解时间密切相关。