Department of Pharmaceutical Sciences, Arnold and Marie Schwartz College of Pharmacy, Long Island University, 75 Dekalb Avenue, Brooklyn, New York 11201, United States.
Natoli Institute for Industrial Pharmacy Research and Development, Long Island University, 75 Dekalb Avenue, Brooklyn, New York 11201, United States.
Mol Pharm. 2022 Jan 3;19(1):26-34. doi: 10.1021/acs.molpharmaceut.1c00527. Epub 2021 Dec 14.
The molecular basis of adhesion leading to sticking was investigated by exploring the correlation between thermal analysis and molecular simulations. It is hypothesized that intermolecular interactions between a drug molecule and a punch face are the first step in the adhesion process and the rank order of adhesion during tablet compression should correspond to the rank order of the energies of these interactions. In the present study, the sticking propensity was investigated using ibuprofen, flurbiprofen, and ketoprofen as model substances. At the intermolecular level, a thermal analysis model was proposed as an experimental technique to estimate the work of adhesion between ibuprofen, flurbiprofen, and ketoprofen in a DSC aluminum pan. The linear relationship was established between the enthalpy of vaporization and sample mass to demonstrate the accuracy of the instruments used. The threshold mass for ibuprofen, flurbiprofen, and ketoprofen was determined to be 107, 112, and 222 μg, respectively, after three replicate measurements consistent with the experimental results. Ketoprofen showed a 2-fold higher threshold mass compared to ibuprofen and flurbiprofen, which predicts that ketoprofen should have the highest sticking propensity. Computationally, the rank order of the work of adhesion between ibuprofen, flurbiprofen, and ketoprofen with the metal surface was simulated to be -75.91, 44.75, and -96.91 kcal/mol, respectively, using Materials Studio. The rank order of the interaction between the drug molecule and the iron superlattice decreases in the order ketoprofen > ibuprofen > flurbiprofen. The results indicate that the thermal model can be successfully implemented to assess the sticking propensity of a drug at the molecular level. Also, a new molecular simulation script was successfully applied to determine the interaction energy of the drug molecule upon contact with iron.
本研究旨在通过探索热分析与分子模拟之间的相关性,研究导致黏附的黏附分子基础。假设药物分子与冲头表面之间的分子间相互作用是黏附过程的第一步,并且片剂压缩过程中的黏附顺序应该与这些相互作用的能量顺序相对应。在本研究中,使用布洛芬、氟比洛芬和酮洛芬作为模型物质来研究黏附倾向。在分子水平上,提出了一种热分析模型作为实验技术,用于估算 DSC 铝锅中布洛芬、氟比洛芬和酮洛芬之间的粘附功。建立了蒸发焓与样品质量之间的线性关系,以证明所用仪器的准确性。通过三次重复测量确定布洛芬、氟比洛芬和酮洛芬的阈值质量分别为 107、112 和 222μg,与实验结果一致。酮洛芬的阈值质量比布洛芬和氟比洛芬高 2 倍,这表明酮洛芬应该具有最高的黏附倾向。从计算的角度来看,使用 Materials Studio 模拟了布洛芬、氟比洛芬和酮洛芬与金属表面之间的粘附功的顺序分别为-75.91、44.75 和-96.91 kcal/mol。药物分子与铁超晶格之间的相互作用顺序降低,顺序为酮洛芬>布洛芬>氟比洛芬。结果表明,热模型可以成功地用于评估药物在分子水平上的黏附倾向。此外,还成功应用了一种新的分子模拟脚本来确定药物分子与铁接触时的相互作用能。