Flow induced dissolution of femtoliter surface droplet arrays

TL;DR

This study combines experiments and simulations to analyze how flow influences the dissolution of femtoliter surface droplet arrays, revealing dependencies on position, spacing, and flow rate, with implications for nanodroplet manipulation.

Contribution

It provides a quantitative analysis of flow-induced dissolution dynamics of femtoliter droplets, integrating experimental data with numerical simulations to uncover key dependencies.

Findings

Dissolution rate varies with droplet position and spacing.

Dissolution time decreases with increasing flow Reynolds number.

Experimental results align with advection-diffusion simulations.

Abstract

The dissolution of liquid nanodroplets is a crucial step in many applied processes, such as separation and dispersion in food industry, crystal formation of pharmaceutical products, concentrating and analysis in medical diagnosis, and drug delivery in aerosols. In this work, using both experiments and numerical simulations, we \textit{quantitatively} study the dissolution dynamics of femtoliter surface droplets in a highly ordered array under a uniform flow. Our results show that the dissolution of femoliter droplets strongly depends on their spatial positions relative to the flow direction, drop-to-drop spacing in the array, and the imposed flow rate. In some particular case, the droplet at the edge of the array can dissolve about 30% faster than the ones located near the centre. The dissolution rate of the droplet increases by 60% as the inter-droplet spacing is increased from 2.5 $\mu$m to 20 $\mu$m. Moreover, the droplets close to the front of flow commence to shrink earlier than those droplets in the center of the array. The average dissolution rate is faster for faster flow. As a result, the dissolution time $T_{i}$ decreases with the Reynolds number Re of the flow as $T_{i}\propto Re^{-3/4}$. The experimental results are in good agreement with numerical simulations where the advection-diffusion equation for the concentration field is solved and the concentration gradient on the surface of the drop is computed. The findings suggest potential approaches to manipulate nanodroplet sizes in droplet arrays simply by dissolution controlled by an external flow. The obtained droplets with varying curvatures may serve as templates for generating multifocal microlens in one array.