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BCS II类活性药物成分的溶出动力学:基于扩散模型的验证与预测

Dissolution Kinetics of a BCS Class II Active Pharmaceutical Ingredient: Diffusion-Based Model Validation and Prediction.

作者信息

Gao Yuan, Glennon Brian, He Yunliang, Donnellan Philip

机构信息

Synthesis and Solid State Pharmaceutical Centre (SSPC), School of Chemical and Bioprocess Engineering, University College Dublin, Belfield, Dublin 4, Ireland.

APC Ltd, Building 11 Cherrywood Business Park, Loughlinstown, Dublin 18, Ireland.

出版信息

ACS Omega. 2021 Mar 19;6(12):8056-8067. doi: 10.1021/acsomega.0c05558. eCollection 2021 Mar 30.

Abstract

In this work, a diffusion-theory-based model has been devised to simulate dissolution kinetics of a poorly water-soluble drug, ibuprofen. The model was developed from the Noyes-Whitney equation in which the dissolution rate term is a function of the remaining particulate surface area and the concentration gradient across the boundary layer. Other dissolution parameters include initial particle size, diffusion coefficient, material density, and diffusion boundary layer thickness. It is useful for predicting nonsink circumstances under which pure API polydisperse powders are suspended in a well-mixing tank. The model was used to compare the accuracy of simulations using spherical (single dimensional characteristic length) and cylindrical particle (multidimensional characteristic lengths) geometries, with and without size-dependent diffusion layer thickness. Experimental data was fitted to the model to obtain the diffusion layer thickness as well as used for model validation and prediction. The CSDs of postdissolution were also predicted with this model, demonstrating good agreement between theory and experiment.

摘要

在本研究中,设计了一种基于扩散理论的模型来模拟难溶性药物布洛芬的溶解动力学。该模型由诺伊斯-惠特尼方程推导而来,其中溶解速率项是剩余颗粒表面积和边界层浓度梯度的函数。其他溶解参数包括初始粒径、扩散系数、材料密度和扩散边界层厚度。该模型对于预测非漏槽条件下纯原料药多分散粉末悬浮于充分搅拌罐中的情况很有用。该模型用于比较使用球形(一维特征长度)和圆柱形颗粒(多维特征长度)几何形状、有无尺寸依赖性扩散层厚度时模拟的准确性。将实验数据拟合到模型中以获得扩散层厚度,并用于模型验证和预测。还用该模型预测了溶解后的累积体积分布,结果表明理论与实验之间具有良好的一致性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a34/8014923/34d3299a2267/ao0c05558_0002.jpg

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