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An additive manufacturing approach to bioreactor design for mesenchymal stem cell culture

Abstract:

Bioreactor design is a challenging endeavour that aims to provide the most ideal environment in which cells can grow and biological reactions can occur. The emergence of regenerative medicine and stem cell therapies has led to the need for more diverse environmental requirements in the bioreactor design space.

The study presented uses an additive manufacturing approach for the initial design phase of a packed/fluidized bed bioreactor for mesenchymal stem cell expansion. Combining 3D-printing with CFD for precision control over the bioreactor flow dynamics. Novel flow distributors were developed to engender swirling particle fluidization. The design was simulated and optimised using CFD, demonstrating an increase from 0.01 m/s to 0.02 m/s in the radial velocity of 3.0 mm macrocarriers (1080 kg/m3) at the minimum fluidization velocity. An autoclavable prototype was constructed to illustrate proof-of-concept in the use of swirling flow distribution to enhance cell attachment efficiency (compared to static culture system). Commercial Cytodex 1 carriers were tested: an improvement in attachment efficiency after 24 h from 50 % to 95 % was induced by the swirling flow distributor, with subsequent expansion of 2.4-fold after 6 days of culture.

The computational design, modelling and 3D-printing of complex geometric architecture that control the flow dynamics within a bioreactor, provides a novel approach to bioprocess unit operation development for manufacturing novel ATMPs.

Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.bej.2020.107515

Authors

More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0001-7613-6041


Publisher:
Elsevier
Journal:
Biochemical Engineering Journal More from this journal
Volume:
156
Article number:
107515
Publication date:
2020-01-23
Acceptance date:
2020-01-22
DOI:
ISSN:
1369-703X


Language:
English
Keywords:
Pubs id:
1084120
Local pid:
pubs:1084120
Deposit date:
2020-01-30
ARK identifier:

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