Department of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States.
Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, Michigan,48109, United States.
Mol Pharm. 2020 Oct 5;17(10):3870-3884. doi: 10.1021/acs.molpharmaceut.0c00614. Epub 2020 Sep 21.
Dissolution is a crucial process for the oral delivery of drug products. Before being absorbed through epithelial cell membranes to reach the systemic circulation, drugs must first dissolve in the human gastrointestinal (GI) tract. and dissolutions are complex because of their dependency upon the drug physicochemical properties, drug product, and GI physiological properties. However, an understanding of this process is critical for the development of robust drug products. To enhance our understanding of and dissolutions, a hierarchical mass transfer (HMT) model was developed that considers the drug properties, GI fluid properties, and fluid hydrodynamics. The key drug properties include intrinsic solubility, acid/base character, p, particle size, and particle polydispersity. The GI fluid properties include bulk pH, buffer species concentration, fluid shear rate, and fluid convection. To corroborate the model, dissolution experiments were conducted in the United States Pharmacopeia (USP) 2 dissolution apparatus. A weakly acidic (ibuprofen), a weakly basic (haloperidol), and a nonionizable (felodipine) drug were used to study the effects of the acid/base character, p, and intrinsic solubility on dissolution. 900 mL of 5 mM bicarbonate and phosphate buffers at pH 6.5 and 37 °C was used to study the impact of the buffer species on drug dissolution. To investigate the impacts of fluid shear rate and convection, the apparatus was operated at different impeller rotational speeds. Moreover, presieved ibuprofen particles with different average diameters were used to investigate the effect of particle size on drug dissolution. experiments demonstrate that the dissolution rates of both the ionizable compounds used in this study were slower in bicarbonate buffer than in phosphate buffer, with the same buffer concentration, because of the lower interfacial buffer capacity, a unique behavior of bicarbonate buffer. Therefore, using surrogates (i.e., 50 mM phosphate) for bicarbonate buffer for biorelevant dissolution testing may overestimate the dissolution rate for ionizable drugs. Model simulations demonstrated that, assuming a monodisperse particle size when modeling, dissolution may overestimate the dissolution rate for polydisperse particle size distributions. The hydrodynamic parameters (maximum shear rate and fluid velocity) under conditions in the USP 2 apparatus under different rotational speeds are orders of magnitude higher compared to the situation. The inconsistencies between the and drug dissolution hydrodynamic conditions may cause an overestimation of the dissolution rate under conditions. The dissolution data supported the accuracy of the HMT for drug dissolution. This is the first drug dissolution model that incorporates the effect of the bulk pH and buffer concentration on the interfacial drug particle solubility of ionizable compounds, combined with the medium hydrodynamics effect (diffusion, convection, shear, and confinement components), and drug particle size distribution.
溶解是药物口服递送的关键过程。在通过上皮细胞膜吸收到达全身循环之前,药物必须首先在人体胃肠道 (GI) 中溶解。 和 溶解是复杂的,因为它们依赖于药物的物理化学性质、药物产品和 GI 生理特性。然而,对这一过程的理解对于开发稳健的药物产品至关重要。为了增强我们对 和 溶解的理解,开发了一种分层传质 (HMT) 模型,该模型考虑了药物特性、GI 流体特性和流体动力学。关键的药物特性包括内在溶解度、酸碱特性、p、粒径和颗粒多分散性。GI 流体特性包括总体 pH、缓冲物种浓度、流体剪切速率和流体对流。为了验证该模型,在美国药典 (USP) 2 溶解仪中进行了 溶解实验。使用弱酸性 (布洛芬)、弱碱性 (氟哌啶醇) 和非电离 (非洛地平) 药物来研究酸碱特性、p 和内在溶解度对溶解的影响。使用 900 毫升 5 mM 碳酸氢盐和磷酸盐缓冲液在 pH 6.5 和 37°C 下研究缓冲物种对药物溶解的影响。为了研究流体剪切速率和对流的影响,以不同的搅拌器转速操作该仪器。此外,使用不同平均粒径的预筛分布洛芬颗粒研究粒径对药物溶解的影响。 实验表明,本研究中使用的两种可电离化合物在碳酸氢盐缓冲液中的溶解速率比在磷酸盐缓冲液中慢,尽管缓冲液浓度相同,但由于界面缓冲能力较低,碳酸氢盐缓冲液具有独特的行为,因此,使用替代物(即 50mM 磷酸盐)进行碳酸氢盐缓冲液的生物相关 溶解测试可能会高估可电离药物的 溶解速率。模型模拟表明,在对多分散颗粒尺寸分布进行建模时,假设单分散颗粒尺寸可能会高估溶解速率。在不同转速下,USP 2 仪器中的 条件下的流体动力学参数(最大剪切速率和流体速度)与 情况相比 orders of magnitude 高。 和 药物溶解流体动力学条件之间的不一致可能会导致在 条件下高估溶解速率。 溶解数据支持 HMT 用于药物溶解的准确性。这是第一个将可电离化合物的总体 pH 和缓冲浓度对界面药物颗粒溶解度的影响与介质流体动力学效应(扩散、对流、剪切和约束成分)以及药物颗粒尺寸分布相结合的药物溶解模型。