Stochastic inference of surface-induced effects using Brownian motion

Autor: Maxime Lavaud, Thomas Salez, Yann Louyer, Yacine Amarouchene
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Physical Review Research, Vol 3, Iss 3, p L032011 (2021)
Druh dokumentu: article
ISSN: 2643-1564
DOI: 10.1103/PhysRevResearch.3.L032011
Popis: Brownian motion in confinement and at interfaces is a canonical situation, encountered from fundamental biophysics to nanoscale engineering. Using the Lorenz-Mie framework, we optically record the thermally induced tridimensional trajectories of individual microparticles, within salty aqueous solutions, in the vicinity of a rigid wall, and in the presence of surface charges. We construct the time-dependent position and displacement probability density functions, and study the non-Gaussian character of the latter which is a direct signature of the hindered mobility near the wall. Based on these distributions, we implement a robust and self-calibrated multifitting method, allowing for the thermal-noise-limited inference of diffusion coefficients spatially resolved at the nanoscale, equilibrium potentials, and forces at the femtonewton resolution.
Databáze: Directory of Open Access Journals