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

Zhao, Feng and Iannetti, Laura and D’Urso, Giovanna and Conoscenti, Gioacchino and Cutrì, Elena and Tuan, Rocky S. and Raimondi, Manuela T. and Gottardi, Riccardo and Zunino, Paolo (2016) Distributed and Lumped Parameter Models for the Characterization of High Throughput Bioreactors. PLOS ONE, 11 (9). e0162774. ISSN 1932-6203

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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 [1, 2]. 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 generating osteochondral constructs, i.e., a biphasic construct in which one side is cartilaginous 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 challenges 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 equations 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.


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Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Zhao, Feng
Iannetti, Laura
D’Urso, Giovanna
Conoscenti, Gioacchino
Cutrì, Elena
Tuan, Rocky
Raimondi, Manuela T.
Zunino, Paolo
Date: 26 September 2016
Date Type: Publication
Journal or Publication Title: PLOS ONE
Volume: 11
Number: 9
Publisher: Public Library of Science
Page Range: e0162774
DOI or Unique Handle: 10.1371/journal.pone.0162774
Schools and Programs: Swanson School of Engineering > Mechanical Engineering and Materials Science
Refereed: Yes
ISSN: 1932-6203
Official URL:
Article Type: Research Article
Date Deposited: 11 May 2020 15:55
Last Modified: 11 May 2020 15:55


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