Investigating Mixing Efficiency in Droplets: A Comprehensive Study of Numerical Modeling and Experimental Testing in 3D-Printed Microfluidic Devices

Abstract

Effective mixing is essential for biochemical reactions. In droplet-based microfluidics, immediate mixing of substances upon contact in the droplet formation stage can greatly enhance the uniformity of chemical reactions. Furthermore, it eliminates the need for implementing micromixers in the chip. In our research, we conducted a comprehensive study by first employing a series of two-dimensional (2D) numerical simulations, followed by experimental investigations using three-dimensional-printed (3D-printed) microfluidic chips. Our primary focus was on assessing the mixing efficiency within droplets. Specifically, we compared the performance of three different types of droplet generators: T-junction, cross-junction, and a novel asymmetric design with various angles. Our evaluation criteria encompassed mixing efficiency, droplet diameter, and droplet eccentricity. Our findings indicate that 2D numerical simulations can serve as a valuable tool for qualitatively analyzing two-phase flows and the droplet generation process, particularly in quasi-two-dimensional devices. The relative simplicity of such simulations renders them readily applicable, specifically in complex microfluidic geometries. Regarding mixing efficiency, we observed that the asymmetric droplet generators outperformed the cross-junction configuration but fell slightly short of the mixing efficiency achieved by the T-junction. Additionally, while the mixing index in the asymmetric generators closely matched that of the T-junction, these asymmetric generators produced smaller droplets. Our study suggests that the novel asymmetric droplet generators offer a significant advantage by simplifying the design of microfluidic devices. This is achieved by facilitating both droplet formation and rapid reagent mixing within the droplets while concurrently maintaining a small droplet diameter.