Phan Anh D, Wakabayashi Katsunori
Faculty of Materials Science and Engineering, Phenikaa Institute for Advanced Study, Phenikaa University, Hanoi 12116, Vietnam.
Faculty of Information Technology, Artificial Intelligence Laboratory, Phenikaa University, Hanoi 12116, Vietnam.
Pharmaceutics. 2020 Feb 19;12(2):177. doi: 10.3390/pharmaceutics12020177.
Compression effects on alpha and beta relaxation process of amorphous drugs are theoretically investigated by developing the elastically collective nonlinear Langevin equation theory. We describe the structural relaxation as a coupling between local and nonlocal activated process. Meanwhile, the secondary beta process is mainly governed by the nearest-neighbor interactions of a molecule. This assumption implies the beta relaxation acts as a precursor of the alpha relaxation. When external pressure is applied, a small displacement of a molecule is additionally exerted by a pressure-induced mechanical work in the dynamic free energy, which quantifies interactions between a molecule with its nearest neighbors. The local dynamics has more restriction and it induces stronger effects of collective motions on single-molecule dynamics. Thus, the alpha and beta relaxation times are significantly slowed down with increasing compression. We apply this approach to determine the temperature and pressure dependence of the alpha and beta relaxation time for curcumin, glibenclamide, and indomethacin, and compare numerical results with prior experimental studies. Both qualitative and quantitative agreement between theoretical calculations and experiments validate our assumptions and reveal their limitations. Our approach would pave the way for the development of the drug formulation process.
通过发展弹性集体非线性朗之万方程理论,从理论上研究了压缩对无定形药物α和β弛豫过程的影响。我们将结构弛豫描述为局部和非局部活化过程之间的耦合。同时,次级β过程主要由分子的近邻相互作用控制。这一假设意味着β弛豫是α弛豫的前驱体。当施加外部压力时,分子的小位移会因动态自由能中压力诱导的机械功而额外产生,该功量化了分子与其近邻之间的相互作用。局部动力学具有更多限制,并且它对单分子动力学的集体运动产生更强的影响。因此,随着压缩增加,α和β弛豫时间显著减慢。我们应用这种方法来确定姜黄素、格列本脲和吲哚美辛的α和β弛豫时间的温度和压力依赖性,并将数值结果与先前的实验研究进行比较。理论计算与实验之间的定性和定量一致性验证了我们的假设并揭示了它们的局限性。我们的方法将为药物制剂过程的发展铺平道路。