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Quantifying Oxygen Levels in 3D Bioprinted Cell-Laden Thick Constructs with Perfusable Microchannel Networks.
Lara Figueiredo1,2,3, Catherine Le Visage2,3, Pierre Weiss2,3
1Regenerative Medicine and Cellular Therapies Group, School of Pharmacy, University of Nottingham, Nottingham NG7 2RD, UK.
Polymers
|June 4, 2020
Summary
Tissue engineered constructs require vascular networks for survival. Bioprinting these networks improves oxygen transport, crucial for cell viability in 3D bioprinted tissues.
Area of Science:
- Biomaterials Science
- Tissue Engineering
- Biotechnology
Background:
- Thick tissue engineered constructs require functional vascular networks for survival and integration with host vasculature.
- Bioprinting enables the creation of perfusable vascular-like networks within these constructs.
- Direct quantification of oxygen transport improvements is needed.
Purpose of the Study:
- To quantify the improvement in oxygen transportation within 3D bioprinted constructs facilitated by perfusable vascular-like networks.
- To assess the role of perfusion in maintaining oxygen levels and cell viability.
- To understand oxygen dynamics upon perfusion changes.
Main Methods:
- Utilized 3D bioprinting to create cell-laden hydrogel constructs with and without microchannel networks.
- Employed an optical fiber oxygen sensor to measure oxygen concentration at various positions within the constructs.
- Monitored oxygen levels during perfusion and upon switching perfusion on and off.
Main Results:
- Perfusion is essential for maintaining high oxygen content and cell viability in cell-laden constructs.
- Oxygen concentration rapidly depletes when perfusion is paused and recovers quickly upon resumption.
- Quantified oxygen gradients within the constructs, demonstrating the impact of microchannels.
Conclusions:
- Perfusion through bioprinted vascular-like networks significantly enhances oxygen supply in thick tissue constructs.
- Understanding oxygen dynamics is critical for designing effective vascular networks in tissue engineering.
- This quantification provides valuable insights for optimizing channel design and predicting cellular responses.

