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Suthiwanich, K.

Publications and source records attributed to Suthiwanich, K..

2 recordsLinked to original sources

Computational fluid dynamics enables predictable scale-up of perfusion bioreactors for microvessel production

Scaling up microvessel culture systems is essential for producing vascularized clinically relevant tissues, yet current platforms offer little guidance on how to preserve flow conditions during scale-up. Here, we present a computational-experimental framework using computational fluid dynamics (CFD) to guide the design and scaling of microvessel bioreactors. Interstitial flow distributions were pre-dicted in two perfusion-based platforms-a permeable insert and a rhomboidal microfluidic chamber-across multiple scaling factors and hydrostatic pressures. CFD identified IF ranges conducive to vascu-logenesis and quantified how geometry and pressure modulate flow uniformity. Scaled-up bioreactors generated microvessel networks with consistent morphology and connectivity over a 30-fold increase in culture volume, confirming that maintaining equivalent IF ensures reproducible outcomes. The permeable insert platform maintained uniform IF across scales, while the rhomboidal chamber produced spatially varying IF resulting in heterogeneous but physiologically relevant networks. These findings establish CFD as a predictive tool for rationally scaling perfusion bioreactors, enabling microvessel production at clinically relevant scales with controllable morphology. Significance StatementScaling up microvessel bioreactors is critical for engineering large pre-vascularized tissues. However, larger scales may disrupt flow conditions that drive vessel formation. This study demonstrates that computational fluid dynamics (CFD) can predict interstitial flow and guide the rational scale-up while preserving the vasculogenic microenvironment. Experiments across 30+-fold size increase confirmed that matching inter-stitial flow results in morphologically identical microvessel networks. By linking simulation-based design with experimental validation, this work establishes CFD as design tool for scalable perfusion bioreactors for production of microvessel networks at clinically relevant scales.

bioengineering↗

Localization of multiple hydrogels with MultiCUBE platform spatially guides 3D tissue morphogenesis in vitro

Localization of multiple hydrogels is expected to develop the structure of 3D tissue models in a location specific manner. Here, we successfully localize morphogenesis within individual tissues by exposing different hydrogel conditions to different parts of the tissues. We develop a unit-based scaffold with a unique frame design to trap hydrogel solutions inside their designated units. Interestingly, this unit-based scaffold within an optimal range of dimensional size and surface wettability can trap several cubic millimeters of hydrogels. This localization capability enables the spatial organization of hydrogel compositions, growth factors and physical conditions, as well as the position of biological samples (cells, spheroids, reconstituted tissues) relative to each hydrogel compartment. We succeed to localize the branching development of reconstituted human epithelial tissues according to the localized biomolecular and physical cues from hydrogels, regardless of the initial tissue configurations. Unlike 3D-bioprinting or microfluidics, the localization with this unit-based scaffold requires only manual pipetting and handling without any specialized equipment or skills, thus ready to use by researchers from any field. This scaffold-based localization provides a new promising route to spatially control morphogenesis, differentiation, and other developmental processes within organoids or other 3D tissues, resulting in 3D functional models for practical biomedical applications.

bioengineering↗