Accurate flow in augmented networks (AFAN): an approach to generating three-dimensional biomimetic microfluidic networks with controlled flow. Issue 1 (3rd December 2018)

• Record Type: Journal Article
• Authors: Guo, Jiaming; Keller, Keely A.; Govyadinov, Pavel; Ruchhoeft, Paul; Slater, John H.; Mayerich, David
• Is Part Of: Analytical methods. Volume 11:Issue 1(2019)
• Page Start: 8
• Page End: 16
• Publication Date: 2018-12-03
• Subjects: Chemistry, Analytic -- Periodicals; Analytical biochemistry -- Periodicals; Chemical laboratories -- Standards -- Periodicals; 543.1905
• DOI: 10.1039/c8ay01798k
• Languages: English
• ISSNs: 1759-9660

Abstract

Abstract : A network augmentation approach that adds synthetic connections to microvascular networks to induce biomimetic microfluidic flow. Abstract : In vivo, microvasculature provides oxygen, nutrients, and soluble factors necessary for cell survival and function. The highly tortuous, densely-packed, and interconnected three-dimensional (3D) architecture of microvasculature ensures that cells receive these crucial components. The ability to duplicate microvascular architecture in tissue-engineered models could provide a means to generate large-volume constructs as well as advanced microphysiological systems. Similarly, the ability to induce realistic flow in engineered microvasculature is crucial to recapitulating in vivo -like flow and transport. Advanced biofabrication techniques are capable of generating 3D, biomimetic microfluidic networks in hydrogels, however, these models can exhibit systemic aberrations in flow due to incorrect boundary conditions. To overcome this problem, we developed an automated method for generating synthetic augmented channels that induce the desired flow properties within three-dimensional microfluidic networks. These augmented inlets and outlets enforce the appropriate boundary conditions for achieving specified flow properties and create a three-dimensional output useful for image-guided fabrication techniques to create biomimetic microvascular networks.