Ducrée, Jens ORCID: 0000-0002-0366-1897
(2021)
Design optimization of centrifugal microfluidic “Lab-on-a-Disc” systems towards fluidic larger-scale integration.
Applied Sciences, 11
(13).
ISSN 2076-3417
Abstract
Enhancing the degree of functional multiplexing while assuring operational reliability and manufacturability at competitive costs are crucial ingredients for enabling comprehensive sample-to-answer automation, e.g., for use in common, decentralized “Point-of-Care” or “Point-of-Use” scenarios. This paper demonstrates a model-based “digital twin” approach, which efficiently supports the algorithmic design optimization of exemplary centrifugo-pneumatic (CP) dissolvable-film (DF) siphon valves toward larger-scale integration (LSI) of well-established “Lab-on-a-Disc” (LoaD) systems. Obviously, the spatial footprint of the valves and their upstream laboratory unit operations (LUOs) have to fit, at a given radial position prescribed by its occurrence in the assay protocol, into the locally accessible disc space. At the same time, the retention rate of a rotationally actuated CP-DF siphon valve and, most challengingly, its band width related to unavoidable tolerances of experimental input parameters need to slot into a defined interval of the practically allowed frequency envelope. To accomplish particular design goals, a set of parametrized metrics is defined, which are to be met within their practical boundaries while (numerically) minimizing the band width in the frequency domain. While each LSI scenario needs to be addressed individually on the basis of the digital twin, a suite of qualitative design rules and instructive showcases structures are presented
Metadata
Item Type: | Article (Published) |
---|---|
Refereed: | Yes |
Uncontrolled Keywords: | centrifugal microfluidics; Lab-on-a-Disc; large-scale integration; reliability; tolerances; band width; packing density |
Subjects: | UNSPECIFIED |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Science and Health > School of Physical Sciences |
Publisher: | MDPI |
Official URL: | https://dx.doi.org/10.3390/app11135839 |
Copyright Information: | © 2021 The Authors. Open Access (CC BY 4.0) |
ID Code: | 27467 |
Deposited On: | 02 Aug 2022 15:00 by Thomas Murtagh . Last Modified 02 Aug 2022 15:00 |
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