Distributed and Lumped Parameter Models for the Characterization of High Throughput Bioreactors

Gioacchino Conoscenti, Paolo Zunino, Rocky S. Tuan, Elena Cutrì, Riccardo Gottardi, Laura Iannetti, Giovanna D'Urso, Rocky S. Tuan, Manuela T. Raimondi

    Risultato della ricerca: Articlepeer review

    12 Citazioni (Scopus)


    Next generation bioreactors are being developed to generate multiple human cell-based tissue analogs within the same fluidic system, to better recapitulate the complexity and interconnection of human physiology. The effective development of these devices requires a solid understanding of their interconnected fluidics, to predict the transport of nutrients and waste through the constructs and improve the design accordingly. In this work, we focus on a specific model of bioreactor, with multiple input/outputs, aimed at gen- erating osteochondral constructs, i.e., a biphasic construct in which one side is cartilagi- nous in nature, while the other is osseous. We next develop a general computational approach to model the microfluidics of a multi-chamber, interconnected system that may be applied to human-on-chip devices. This objective requires overcoming several chal- lenges at the level of computational modeling. The main one consists of addressing the multi-physics nature of the problem that combines free flow in channels with hindered flow in porous media. Fluid dynamics is also coupled with advection-diffusion-reaction equa- tions that model the transport of biomolecules throughout the system and their interaction with living tissues and C constructs. Ultimately, we aim at providing a predictive approach useful for the general organ-on-chip community. To this end, we have developed a lumped parameter approach that allows us to analyze the behavior of multi-unit bioreactor systems with modest computational effort, provided that the behavior of a single unit can be fully characterized.
    Lingua originaleEnglish
    Numero di pagine25
    RivistaPLoS One
    Stato di pubblicazionePublished - 2016

    All Science Journal Classification (ASJC) codes

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    • ???subjectarea.asjc.1100.1100???
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