Monte-Carlo Based Sensitivity Analysis of Acoustic Sorting Methods

  • Gergely Simon School of Engineering and Physical Sciences, Institute of Signals, Sensors and Systems, Heriot-Watt University, Earl Mountbatten Building First Gait, Edinburgh EH14 4AS, United Kingdom https://orcid.org/0000-0003-3483-8947
  • Gergely B. Hantos School of Engineering and Physical Sciences, Institute of Signals, Sensors and Systems, Heriot-Watt University, Earl Mountbatten Building First Gait, Edinburgh EH14 4AS, United Kingdom
  • Marco A. B. Andrade Institute of Physics, University of São Paulo, São Paulo, Rua do Matão 1371, Brazil
  • Marc P. Y. Desmulliez School of Engineering and Physical Sciences, Institute of Signals, Sensors and Systems, Heriot-Watt University, Earl Mountbatten Building First Gait, Edinburgh EH14 4AS, United Kingdom
  • Mathis O. Riehle Institute of Molecular Cell and Systems Biology, Centre for Cell Engineering, University of Glasgow, Joseph Black Building, University Place, Glasgow, G12 8SU, United Kingdom
  • Anne L. Bernassau School of Engineering and Physical Sciences, Institute of Signals, Sensors and Systems, Heriot-Watt University, Earl Mountbatten Building First Gait, Edinburgh EH14 4AS, United Kingdom

Abstract

Separation in microfluidic devices is a crucial enabling step for many industrial, biomedical, clinical or chemical applications. Acoustic methods offer contactless, biocompatible, scalable sorting with high degree of reconfigurability and are therefore favored techniques. The literature reports on various techniques to achieve particle separation, but these do not investigate the sensitivity of these methods or are difficult to compare due to the lack of figures of merit. In this paper, we present analytical and numerical sensitivity analysis of the time-of-flight and a phase-modulated sorting scheme against various extrinsic and intrinsic properties. The results reveal great robustness of the phase-modulated sorting method against variations of the flow rate or acoustic energy density, while the time-of-flight method shows lower efficiency drop against size and density variations. The results presented in this paper provide a better understanding of the two sorting methods and offer advice on the selection of the right technique for a given sorting application.

Keywords: sensitivity analysis, Monte-Carlo methods, acoustic sorting, lab-on-a-chip devices
Published online
2019-04-02
How to Cite
Simon, G., Hantos, G., Andrade, M., Desmulliez, M., Riehle, M. and Bernassau, A. (2019) “Monte-Carlo Based Sensitivity Analysis of Acoustic Sorting Methods”, Periodica Polytechnica Electrical Engineering and Computer Science, 63(2), pp. 68-76. doi: https://doi.org/10.3311/PPee.13455.
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Articles