Electro-manipulation of droplets for microfluidic applications

Corson, L. T. and Tsakonas, C. and Duffy, B. R. and Mottram, N. J. and Brown, C. V. and Wilson, S. K.; Russo, Giovanni and Capasso, Vincenzo and Nicosia, Giuseppe and Romano, Vittorio, eds. (2017) Electro-manipulation of droplets for microfluidic applications. In: Progress in Industrial Mathematics at ECMI 2014. Mathematics in Industry, 22 . Springer, ITA, pp. 1073-1080. ISBN 9783319234120

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      Abstract

      This paper discusses electro-manipulation of droplets for microfluidic applications. There is a growing technology-driven interest in using external influences to move or shape small quantities of liquids, referred to as microfluidic actuation. The use of electrical, rather than mechanical, forces to achieve this actuation is convenient because the resultant devices contain no moving parts. Existing non-mechanical microfluidic actuation techniques that are driven by the application of a voltage include electrowetting and liquid dielectrophoresis, with many applications including lab-on-a-chip, polymer surface patterning, as well as optimisation of optical properties for polymer microlenses, and droplet driven displays.

      ORCID iDs

      Corson, L. T. ORCID logoORCID: https://orcid.org/0000-0002-3389-8238, Tsakonas, C., Duffy, B. R. ORCID logoORCID: https://orcid.org/0000-0003-2687-7938, Mottram, N. J. ORCID logoORCID: https://orcid.org/0000-0002-7265-0059, Brown, C. V. and Wilson, S. K. ORCID logoORCID: https://orcid.org/0000-0001-7841-9643; Russo, Giovanni, Capasso, Vincenzo, Nicosia, Giuseppe and Romano, Vittorio
      • Item type:Book Section
        ID code:61779
        Dates:
        Date
        Event
        5 September 2017
        Published
        15 February 2015
        Accepted
        Keywords:droplets, microfluidic applications, microfluidic actuation, Probabilities. Mathematical statistics, Statistics and Probability
        Subjects:Science > Mathematics > Probabilities. Mathematical statistics
        Department:Faculty of Science > Mathematics and Statistics
        Depositing user: Pure Administrator
        Date deposited:12 Sep 2017 10:50
        Last modified:24 Jan 2022 08:58
        Related URLs:
        URI:https://strathprints.strath.ac.uk/id/eprint/61779
      CORE (COnnecting REpositories)