Deterministic Lateral Displacement: Challenges and Perspectives

Axel Hochstetter, Rohan Vernekar, Robert H. Austin, Holger Becker, Jason P. Beech, Dmitry A. Fedosov, Gerhard Gompper, Sung Cheol Kim, Joshua T. Smith, Gustavo Stolovitzky, Jonas O. Tegenfeldt, Benjamin H. Wunsch, Kerwin K. Zeming, Timm Krüger, David W. Inglis

Research output: Contribution to journalReview articlepeer-review

13 Scopus citations

Abstract

The advent of microfluidics in the 1990s promised a revolution in multiple industries from healthcare to chemical processing. Deterministic lateral displacement (DLD) is a continuous-flow microfluidic particle separation method discovered in 2004 that has been applied successfully and widely to the separation of blood cells, yeast, spores, bacteria, viruses, DNA, droplets, and more. Deterministic lateral displacement is conceptually simple and can deliver consistent performance over a wide range of flow rates and particle concentrations. Despite wide use and in-depth study, DLD has not yet been fully elucidated or optimized, with different approaches to the same problem yielding varying results. We endeavor here to provide up-to-date expert opinion on the state-of-art and current fundamental, practical, and commercial challenges with DLD as well as describe experimental and modeling opportunities. Because these challenges and opportunities arise from constraints on hydrodynamics, fabrication, and operation at the micro- and nanoscale, we expect this Perspective to serve as a guide for the broader micro- and nanofluidic community to identify and to address open questions in the field.

Original languageEnglish (US)
Pages (from-to)10784-10795
Number of pages12
JournalACS Nano
Volume14
Issue number9
DOIs
StatePublished - Sep 22 2020

All Science Journal Classification (ASJC) codes

  • Materials Science(all)
  • Engineering(all)
  • Physics and Astronomy(all)

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