Pacheco-Pozo Adrian, Balcerek Michał, Wyłomanska Agnieszka, Burnecki Krzysztof, Sokolov Igor M, Krapf Diego
Department of Electrical and Computer Engineering and School of Biomedical Engineering, <a href="https://ror.org/03k1gpj17">Colorado State University</a>, Fort Collins, Colorado 80523, USA.
Faculty of Pure and Applied Mathematics, Hugo Steinhaus Center, <a href="https://ror.org/008fyn775">Wrocław University of Science and Technology</a>, 50-370 Wrocław, Poland.
Phys Rev Lett. 2024 Aug 9;133(6):067102. doi: 10.1103/PhysRevLett.133.067102.
The Langevin equation is a common tool to model diffusion at a single-particle level. In nonhomogeneous environments, such as aqueous two-phase systems or biological condensates with different diffusion coefficients in different phases, the solution to a Langevin equation is not unique unless the interpretation of stochastic integrals involved is selected. We analyze the diffusion of particles in such systems and evaluate the mean, the mean square displacement, and the distribution of particles, as well as the variance of the time-averaged mean-square displacements. Our analytical results provide a method to choose the interpretation parameter from single-particle tracking experiments.
朗之万方程是在单粒子水平上模拟扩散的常用工具。在非均匀环境中,例如具有不同相且扩散系数不同的双水相系统或生物凝聚物中,除非选择所涉及的随机积分的解释,否则朗之万方程的解不是唯一的。我们分析了此类系统中粒子的扩散,并评估了粒子的均值、均方位移和分布,以及时间平均均方位移的方差。我们的分析结果提供了一种从单粒子跟踪实验中选择解释参数的方法。