Showing papers by "Anand Yethiraj published in 2018"

Realization of a stable, monodisperse water-in-oil droplet system with micro-scale and nano-scale confinement for tandem microscopy and diffusion NMR studies

Abstract: In this work we generate stable and monodisperse water-in-oil emulsions using a co-flowing geometry that produced droplet sizes between 13 μm and 250 μm. The drops survived transfer to NMR tubes and were stable for at least 26 hours, enabling the performance of pulsed-field-gradient NMR experiments in addition to microscopy. The drops sizes achieved as a function of flow rate agree well with a simple model for droplet generation: this yields a precise measure of the interfacial tension. The design of a cell mimetic environment with nano-scale confinement has also been demonstrated with diffusion measurements on macromolecules (PEG and Ficoll70) within droplets that are further structured internally using agarose gel networks. Containing the agarose gel in droplets appears to provide very reproducible and homogeneous network environments, enabling quantitative agreement of Ficoll70 dynamics with a theoretical model, with no fit parameters, and, with PEG, yielding a systematic polymer-size dependent slowing down in the network. This is in contrast with bulk agarose, where identical macromolecular diffusion measurements indicate the presence of heterogeneities with water pockets.

Anomalous dynamics in tracer-particle motions in an electrohydrodynamically driven oil-in-oil system.

Abstract: We characterize the superdiffusive dynamics of tracer particles in an electrohydrodynamically driven emulsion of oil droplets in an immiscible oil medium, where the amplitude and frequency of an external electric field are the control parameters. In the weakly driven electrohydrodynamic regime, the droplets are trapped dielectrophoretically on a patterned electrode, and the driving is therefore spatially varying. We find excellent agreement with a $\ensuremath{\langle}{x}^{2}\ensuremath{\rangle}\ensuremath{\sim}{t}^{1.5}$ power law and find that this superdiffusive dynamics arises from an underlying displacement distribution that is distinctly non-Gaussian and exponential for small displacements and short times. While these results are comparable with a random-velocity field model, the tracer particle speeds are in fact spatially varying in two dimensions, arising from a spatially varying electrohydrodynamic driving force. This suggests that the important ingredient for the superdiffusive ${t}^{1.5}$ behavior observed is a velocity field that is isotropic in the plane and spatially correlated. Finally, we can extract, from the superdiffusive dynamics, a experimental length scale that corresponds to the lateral range of the hydrodynamic flows. This experimental length scale is non zero only above a threshold ion mobility length.