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Aghajanloo B, Inglis DW, Ejeian F, Tehrani AF, Esfahani MHN, Saghafian M, Canavese G, Marasso SL. Effect of process parameters on separation efficiency in a deterministic lateral displacement device. J Chromatogr A 2022; 1678:463295. [DOI: 10.1016/j.chroma.2022.463295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 06/07/2022] [Accepted: 06/28/2022] [Indexed: 10/17/2022]
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Hochstetter A, Vernekar R, Austin RH, Becker H, Beech JP, Fedosov DA, Gompper G, Kim SC, Smith JT, Stolovitzky G, Tegenfeldt JO, Wunsch BH, Zeming KK, Krüger T, Inglis DW. Deterministic Lateral Displacement: Challenges and Perspectives. ACS NANO 2020; 14:10784-10795. [PMID: 32844655 DOI: 10.1021/acsnano.0c05186] [Citation(s) in RCA: 62] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
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.
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Affiliation(s)
- Axel Hochstetter
- Department of Physics, University of Kaiserslautern, 67663 Kaiserslautern, Germany
| | - Rohan Vernekar
- School of Engineering, Institute for Multiscale Thermofluids, University of Edinburgh, EH9 3DW Edinburgh, United Kingdom
| | - Robert H Austin
- Department of Physics, Princeton University, Princeton 08544, New Jersey, United States
| | | | - Jason P Beech
- Department of Physics and NanoLund, Lund University, SE 22100 Lund, Sweden
| | - Dmitry A Fedosov
- Institute of Biological Information Processing and Institute for Advanced Simulation, Forschungszentrum Jülich, D-52425 Juelich, Germany
| | - Gerhard Gompper
- Institute of Biological Information Processing and Institute for Advanced Simulation, Forschungszentrum Jülich, D-52425 Juelich, Germany
| | - Sung-Cheol Kim
- IBM T.J. Watson Research Center, Yorktown Heights, New York 10598, United States
| | - Joshua T Smith
- IBM T.J. Watson Research Center, Yorktown Heights, New York 10598, United States
| | - Gustavo Stolovitzky
- IBM T.J. Watson Research Center, Yorktown Heights, New York 10598, United States
| | - Jonas O Tegenfeldt
- Department of Physics and NanoLund, Lund University, SE 22100 Lund, Sweden
| | - Benjamin H Wunsch
- IBM T.J. Watson Research Center, Yorktown Heights, New York 10598, United States
| | - Kerwin K Zeming
- Critical Analytics for Manufacturing of Personalized Medicine, Singapore-MIT Alliance for Research and Technology, 138602 Singapore
| | - Timm Krüger
- School of Engineering, Institute for Multiscale Thermofluids, University of Edinburgh, EH9 3DW Edinburgh, United Kingdom
| | - David W Inglis
- School of Engineering, Macquarie University, Macquarie Park, New South Wales 2109, Australia
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