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用于表征分子沿温度梯度运动的不同方法。

Different measures for characterizing the motion of molecules along a temperature gradient.

作者信息

Farago Oded

机构信息

Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, United Kingdom and Department of Biomedical Engineering, Ben Gurion University of the Negev, Be'er Sheva 84105, Israel.

出版信息

Phys Rev E. 2019 Jun;99(6-1):062108. doi: 10.1103/PhysRevE.99.062108.

Abstract

We study the motion of a Brownian particle in a medium with inhomogeneous temperature. In the overdamped regime of low Reynolds numbers, the probability distribution function (PDF) of the particle is obtained from the van Kampen diffusion equation [J. Phys. Chem. Solids 49, 673 (1988)JPCSAW0022-369710.1016/0022-3697(88)90199-0]. The thermophoretic behavior is commonly described by the Soret coefficient, a parameter that can be calculated from the steady-state PDF. Motivated by recent advances in experimental methods for observing and analyzing single nanoparticle trajectories, we here consider the time-dependent van Kampen equation from which the temporal evolution of the PDF of individual particles can be derived. We analytically calculate the PDF describing dynamics driven by a generalized thermophoretic force. Single-particle statistics are characterized by measures such as the mean displacement (drift) and the probability difference between moving along and against the temperature gradient (bias). We demonstrate that these quantities do not necessarily have the same sign as the Soret coefficient, which causes ambiguity in the distinction between thermophilic and thermophobic response (i.e., migration in and against the direction of the temperature gradient). The different factors determining the thermophoretic response and their influence on each measure are discussed.

摘要

我们研究了布朗粒子在温度不均匀介质中的运动。在低雷诺数的过阻尼 regime 下,粒子的概率分布函数(PDF)由范坎彭扩散方程得到[《固体物理化学杂志》49, 673 (1988)JPCSAW0022 - 369710.1016/0022 - 3697(88)90199 - 0]。热泳行为通常由索雷特系数描述,该参数可从稳态 PDF 计算得出。受近期用于观察和分析单个纳米粒子轨迹的实验方法进展的启发,我们在此考虑时间相关的范坎彭方程,从中可以推导出单个粒子 PDF 的时间演化。我们通过解析计算描述由广义热泳力驱动的动力学的 PDF。单粒子统计由诸如平均位移(漂移)以及沿温度梯度方向移动和逆温度梯度方向移动之间的概率差(偏差)等度量来表征。我们证明这些量不一定与索雷特系数具有相同的符号,这导致在区分嗜热和厌热响应(即沿温度梯度方向和逆温度梯度方向的迁移)时存在模糊性。讨论了决定热泳响应的不同因素及其对每个度量的影响。

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