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Mehboudi A, Singhal S, Sreenivasan SV. A universal framework for design and manufacture of deterministic lateral displacement chips. LAB ON A CHIP 2025; 25:1521-1536. [PMID: 39807664 DOI: 10.1039/d4lc00838c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/16/2025]
Abstract
Despite being a high-resolution separation technique, deterministic lateral displacement (DLD) technology is facing multiple challenges with regard to design, manufacture, and operation of pertinent devices. This work specifically aims at alleviating difficulties associated with design and manufacture of DLD chips. The process of design and production of computer-aided design (CAD) mask layout files that are typically required for computational modeling analysis, optimization, as well as for manufacturing DLD-based micro/nanofluidic chips is complex, time-consuming, and often necessitates a high level of expertise in the field. Herein, we report a universal framework to automate the process of designing DLD and producing layout CAD files for various systems spanning from simply a single DLD unit to complex parallelized DLD structures with/without additional upstream/downstream components, e.g., inlet filter, preload, collection channels, and through-wafer vias. In addition, to the best of our knowledge, for the first time, we adopt imprint lithography (IL) into fabrication process flow to define fine features of parallelized DLD arrays, while avoiding problems in connection with accessibility and cost of advanced photolithography tools. With regard to parallelized DLD architectures, we also report a new fabrication process flow aiming at mitigating the problems related to creating through-silicon vias at high yield. We demonstrate some use cases of our developed design and manufacture framework by designing and fabricating multiple devices to separate microspheres (0.6 μm and 1.3 μm) from aqueous media. We believe that our design automation package offers a user-friendly workflow, significantly alleviating the hurdles associated with design and optimization of DLD structures, while our fabrication process flow can provide an accessible solution to manufacturing micron- and submicron-scale DLD chips. These innovations should enable a larger community to adopt the DLD technology into their research, particularly for lab-on-a-chip applications.
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Affiliation(s)
- Aryan Mehboudi
- NASCENT Engineering Research Center, The University of Texas at Austin, Austin, Texas 78758, USA.
| | - Shrawan Singhal
- NASCENT Engineering Research Center, The University of Texas at Austin, Austin, Texas 78758, USA.
| | - S V Sreenivasan
- NASCENT Engineering Research Center, The University of Texas at Austin, Austin, Texas 78758, USA.
- Walker Department of Mechanical Engineering, The University of Texas at Austin, Austin, TX 78712, USA
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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: 77] [Impact Index Per Article: 15.4] [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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