Visualization and measurement of flow in two-dimensional paper networks

Abstract

The two-dimensional paper network (2DPN) is a versatile new microfluidic format for performing complex chemical processes. For chemical detection, for example, 2DPNs have the potential to exceed the capabilities and performance of existing paper-based lateral flow devices at a comparable cost and ease of use. To design such 2DPNs, it is necessary to predict 2D flow patterns and velocities within them, but because of the scattering of the paper matrix, conventional particle imaging velocimetry is not practical. In this note, we demonstrate two methods for visualization of flow in 2DPNs that are inexpensive, easy to implement, and quantifiable.