Multi-directional sorting modes in deterministic lateral displacement devices

TL;DR

This paper introduces a simple model for deterministic lateral displacement devices that predicts new multi-directional sorting modes, potentially enhancing particle separation efficiency in microfluidic applications.

Contribution

The study presents a novel model incorporating advection and diffusion to predict multi-directional sorting modes in DLD devices with specific array geometries.

Findings

Prediction of multi-directional sorting modes

Potential for high-throughput particle separation

Model validated for arrays with small obstacles

Abstract

Deterministic lateral displacement (DLD) devices separate micrometer-scale particles in solution based on their size using a laminar microfluidic flow in an array of obstacles. We investigate array geometries with rational row-shift fractions in DLD devices by use of a simple model including both advection and diffusion. Our model predicts novel multi-directional sorting modes that could be experimentally tested in high-throughput DLD devices containing obstacles that are much smaller than the separation between obstacles.