Porous microwells for geometry-selective, Large-scale microparticle arrays

  • J. J. Kim
  • , K. W. Bong
  • , E. Reátegui
  • , D. Irimia
  • , P. S. Doyle*
  • *Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Large-scale microparticle arrays (LSMA) are key for material science and bioengineering applications. Previous approaches suffer from tradeoffs between scalability, precision, specificity, and versatility. Here we present a porous microwell-based approach to create large-scale microparticle arrays with complex motifs. Microparticles are guided to and pulled into microwells by fluid flow through small open pores at the bottom of the porous wells. A scaling theory allows for the rational design of LSMAs to sort and array particles based on the size, shape or modulus of the microparticles. We demonstrate the capabilities of the technique by applying it to generate a complex, covert tag.

    Original languageEnglish
    Title of host publication20th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2016
    PublisherChemical and Biological Microsystems Society
    Pages1085-1086
    Number of pages2
    ISBN (Electronic)9780979806490
    Publication statusPublished - 2016
    Event20th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2016 - Dublin, Ireland
    Duration: 2016 Oct 92016 Oct 13

    Publication series

    Name20th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2016

    Other

    Other20th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2016
    Country/TerritoryIreland
    CityDublin
    Period16/10/916/10/13

    Bibliographical note

    Copyright:
    Copyright 2017 Elsevier B.V., All rights reserved.

    Keywords

    • Large-scale/complex arrays
    • Microparticles
    • Porous microwells

    ASJC Scopus subject areas

    • Control and Systems Engineering

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