Stochastic Inference of Surface-Induced Effects using Brownian Motion
Langue
en
Article de revue
Ce document a été publié dans
Physical Review Research. 2021, vol. 3, p. L032011
American Physical Society
Résumé en anglais
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 ...Lire la suite >
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 novel, 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.< Réduire
Project ANR
Mouvement brownien au voisinage d'interfaces molles - ANR-21-ERCC-0010
Origine
Importé de halUnités de recherche