(504c) Programmable Pattern Formation of Colloids in Two-Dimensions Using Diffusiophoresis: From Optimized Source-Sink Models to Spontaneously Induced Turing Patterns
AIChE Annual Meeting
2023
2023 AIChE Annual Meeting
Engineering Sciences and Fundamentals
Microfluidic and Microscale Flows: Separations and Particulates
Wednesday, November 8, 2023 - 4:00pm to 4:15pm
First, we study the diffusiophoretic response of colloids in two-dimensional solute fields, generated by sources and sinks. For a dipole system, i.e., one source and one sink, we found that both the inter-dipole diffusion and solute flux decay timescales affect the banding of colloidal particles. A balance between these timescales yields a dipole separation distance which maximizes the number of particles enriched. We demonstrate that the optimal separation distance depends primarily on the partition coefficient, while the diffusivity ratio has a much smaller effect. We also analyze the colloidal patterns generated by four sources and four sinks arranged in a circle.
Second, we study how chemical reaction-diffusion instabilities, which manifest in the form of Turning patterns, can assemble colloids into patterns such as stripes and hexagons. We demonstrate that colloidal gradients can be significantly steeper than the chemical gradients, leading to the generation of much sharper patterns. We devise an analytical model, allowing us to collapse our computational data set onto a master curve describing how colloid length scale varies with Péclet number. Lastly, by including two colloidal particles which have opposite diffusiophoretic velocities, we uncover colloidal patterns which bear striking resemblance to the skin pattern of the Ornate Boxfish. This discovery underscores how diffusiophoresis might play an important role in pattern formation of biological species.
Overall, our findings underscore the ability to employ diffusiophoresis to program complex colloidal patterns in two dimensions and have significant implications for next-generation lab-on-a-chip technologies, adaptive materials, and biophysics.
References:
Raj, Shields, Gupta, Soft Matter, 19, 892-904, 2023
Alessio and Gupta, In preparation