Influence of chemical environment on the transition of alternating current electroosmotic flow

TL;DR

This study investigates how the chemical environment influences the transition from linear to nonlinear behavior in alternating current electroosmotic flow, using high-resolution measurements to develop a predictive model.

Contribution

It introduces a novel empirical characterization of AC EOF transitions across various parameters and establishes a power-law relationship influenced by pH, advancing understanding of electrokinetic phenomena.

Findings

Identified a transition point in AC EOF behavior characterized by electric field intensity.

Established a power-law relationship between linear and nonlinear coefficients influenced by pH.

Developed a model explaining the interplay between electric field and flow regimes.

Abstract

Electroosmotic flow (EOF) is a ubiquitous phenomenon at the solid-liquid interface when an external electric field is applied. Despite its prevalence, the characteristics and mechanisms of EOF driven by an alternating current (AC) electric field, particularly within complex chemical environments, have remained insufficiently understood, owing primarily to a scarcity of experimental data. In this investigation, we advance the comprehension of AC EOF by employing a high-resolution measurement technique - laser-induced fluorescent photobleaching anemometer (LIFPA). This method allows for precise empirical characterization of transient velocity of EOF along the electric double layer (EDL) far from electrode surfaces. We have discerned a distinct transition in AC EOF behavior - from linear to nonlinear - across a wide parameter space, such as the velocity of bulk flow, the AC electric field's frequency and intensity, and the pH of the bulk fluid. Moreover, the transition within the AC EOF is quantified by the transitional electric field intensity, $E_{A,C}$, paired with a correlated dimensionless parameter, $Z_{nlc}$. A power-law relationship between the linear term coefficient $Z_{l}$ and $Z_{nlc}$ has been established, with the scaling exponents determined by the pH value of the electrolyte solution. With these findings, we aspire not only to deepen the understanding of AC EOF transitions but also to establish a robust model that elucidates the interplay between the electric field and fluid flow in both linear and nonlinear regimes. This research potentially paves the way for more predictable and controllable electrokinetic processes in numerous applications, including micro-/nanofluidic systems, electrochemical reactions, and beyond.