4.6 Article

Design Optimization of Centrifugal Microfluidic Lab-on-a-Disc Systems towards Fluidic Larger-Scale Integration

Journal

APPLIED SCIENCES-BASEL
Volume 11, Issue 13, Pages -

Publisher

MDPI
DOI: 10.3390/app11135839

Keywords

centrifugal microfluidics; Lab-on-a-Disc; large-scale integration; reliability; tolerances; band width; packing density

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This paper demonstrates a model-based digital twin approach to optimize centrifugo-pneumatic dissolvable-film siphon valves for larger-scale integration of Lab-on-a-Disc systems. Spatial constraints and frequency bandwidth are crucial factors to be considered for efficient design optimization in sample-to-answer automation.
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.

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