3D-printing and computational fluid dynamics "meet" paperbased microfluidics for enhanced flow control in difusive sensors

Abstract

This paper proposes combination of a 3D printed cartridge and paper-based microfluidic design that minimizes the amount of sample required to achieve the best control over the diffusion Y-microfluidic mixers. The use of 3D printing techniques in combination with paper-based microfluidics enhance the flow synchronization and reduces the amount of reagents required. The porous zone has been modeled using computational fluid dynamics ANSYS Fluent software to achieve the maximum diffusion zone with the minimum fluid and time