Ragulskaya Anastasia, Starostin Vladimir, Begam Nafisa, Girelli Anita, Rahmann Hendrik, Reiser Mario, Westermeier Fabian, Sprung Michael, Zhang Fajun, Gutt Christian, Schreiber Frank
Institute of Applied Physics, University of Tübingen, Auf der Morgenstelle 10, 72076 Tübingen, Germany.
Department of Physics, University of Siegen, Emmy-Noether-Campus, Walter-Flex-Straße 3, 57076 Siegen, Germany.
IUCrJ. 2022 May 28;9(Pt 4):439-448. doi: 10.1107/S2052252522004560. eCollection 2022 Jul 1.
X-ray photon correlation spectroscopy (XPCS) is a powerful tool in the investigation of dynamics covering a broad time and length scale. It has been widely used to probe dynamics for systems in both equilibrium and non-equilibrium states; in particular, for systems undergoing a phase transition where the structural growth kinetics and the microscopic dynamics are strongly intertwined. The resulting time-dependent dynamic behavior can be described using the two-time correlation function (TTC), which, however, often contains more interesting features than the component along the diagonal, and cannot be easily interpreted via the classical simulation methods. Here, a reverse engineering (RE) approach is proposed based on particle-based heuristic simulations. This approach is applied to an XPCS measurement on a protein solution undergoing a liquid-liquid phase separation. It is demonstrated that the rich features of experimental TTCs can be well connected with the key control parameters including size distribution, concentration, viscosity and mobility of domains. The dynamic information obtained from this RE analysis goes beyond the existing theory. The RE approach established in this work is applicable for other processes such as film growth, coarsening or evolving systems.
X射线光子相关光谱学(XPCS)是研究涵盖广泛时间和长度尺度动力学的有力工具。它已被广泛用于探测平衡态和非平衡态系统的动力学;特别是对于经历相变的系统,其中结构生长动力学和微观动力学紧密交织。由此产生的随时间变化的动态行为可以用双时相关函数(TTC)来描述,然而,TTC通常包含比沿对角线分量更有趣的特征,并且不能通过经典模拟方法轻易解释。在此,基于基于粒子的启发式模拟提出了一种逆向工程(RE)方法。该方法应用于对经历液-液相分离的蛋白质溶液的XPCS测量。结果表明,实验TTC的丰富特征可以与包括域的尺寸分布、浓度、粘度和迁移率在内的关键控制参数很好地联系起来。从这种RE分析中获得的动态信息超出了现有理论。这项工作中建立的RE方法适用于其他过程,如薄膜生长、粗化或演化系统。