Biasin Alice, Pribac Federico, Franceschinis Erica, Cortesi Angelo, Grassi Lucia, Voinovich Dario, Colombo Italo, Grassi Gabriele, Milcovich Gesmi, Grassi Mario, Abrami Michela
Department of Engineering and Architecture, University of Trieste, Via Valerio 6/A, I-34127 Trieste, Italy.
Department of Pharmaceutical and Pharmacological Sciences, University of Padova, Via Marzolo 5, I-35131 Padova, Italy.
Pharmaceutics. 2024 Oct 18;16(10):1335. doi: 10.3390/pharmaceutics16101335.
BACKGROUND/OBJECTIVES: The present work proposes a mathematical model able to describe the dissolution of poly-disperse drug spherical particles in a solution (Dissolution Rate Test-DRT). DRT is a pivotal test performed in the pharmaceutical field to qualitatively assess drug bioavailability.
The proposed mathematical model relies on the key hallmarks of DRT, such as particle size distribution, solubility, wettability, hydrodynamic conditions in the dissolving liquid of finite dimensions, and possible re-crystallization during the dissolution process. The spherical shape of the drug particles was the only cue simplification applied. Two model drugs were considered to check model robustness: theophylline (both soluble and wettable) and praziquantel (both poorly soluble and wettable).
The DRT data analysis within the proposed model allows us to understand that for theophylline, the main resistance to dissolution is due to the boundary layer surrounding drug particles, whereas wettability plays a negligible role. Conversely, the effect of low wettability cannot be neglected for praziquantel. These results are validated by the determination of drug wettability performed while measuring the solid-liquid contact angle on four liquids with decreasing polarities. Moreover, the percentage of drug polarity was determined.
The proposed mathematical model confirms the importance of the different physical phenomena leading the dissolution of poly-disperse solid drug particles in a solution. Although a comprehensive mathematical model was proposed and applied, the DRT data of theophylline and praziquantel was successfully fitted by means of just two fitting parameters.
背景/目的:本研究提出了一种数学模型,该模型能够描述多分散药物球形颗粒在溶液中的溶解情况(溶出速率试验-DRT)。DRT是制药领域进行的一项关键试验,用于定性评估药物的生物利用度。
所提出的数学模型依赖于DRT的关键特征,如粒度分布、溶解度、润湿性、有限尺寸溶解液中的流体动力学条件以及溶解过程中可能的重结晶。药物颗粒的球形是唯一应用的简化条件。考虑了两种模型药物来检验模型的稳健性:茶碱(既易溶又可润湿性好)和吡喹酮(既难溶又可润湿性好)。
在所提出的模型内对DRT数据分析使我们明白,对于茶碱,溶解的主要阻力是由于围绕药物颗粒的边界层,而润湿性起的作用可忽略不计。相反,对于吡喹酮,低润湿性的影响不可忽略。通过在测量与四种极性递减的液体的固液接触角时测定药物润湿性来验证这些结果。此外,还测定了药物的极性百分比。
所提出的数学模型证实了导致多分散固体药物颗粒在溶液中溶解的不同物理现象的重要性。尽管提出并应用了一个综合数学模型,但仅通过两个拟合参数就成功拟合了茶碱和吡喹酮的DRT数据。