Diffusion‐Based 3D Bioprinting Strategies
Abstract 3D bioprinting has enabled the fabrication of tissue‐mimetic constructs with freeform designs that include living cells. In the development of new bioprinting techniques, the controlled use of diffusion has become an emerging strategy to tailor the properties and geometry of printed constru...
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Format: | Article |
Language: | English |
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Wiley
2024-02-01
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Series: | Advanced Science |
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Online Access: | https://doi.org/10.1002/advs.202306470 |
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author | Betty Cai David Kilian Daniel Ramos Mejia Ricardo J. Rios Ashal Ali Sarah C. Heilshorn |
author_facet | Betty Cai David Kilian Daniel Ramos Mejia Ricardo J. Rios Ashal Ali Sarah C. Heilshorn |
author_sort | Betty Cai |
collection | DOAJ |
description | Abstract 3D bioprinting has enabled the fabrication of tissue‐mimetic constructs with freeform designs that include living cells. In the development of new bioprinting techniques, the controlled use of diffusion has become an emerging strategy to tailor the properties and geometry of printed constructs. Specifically, the diffusion of molecules with specialized functions, including crosslinkers, catalysts, growth factors, or viscosity‐modulating agents, across the interface of printed constructs will directly affect material properties such as microstructure, stiffness, and biochemistry, all of which can impact cell phenotype. For example, diffusion‐induced gelation is employed to generate constructs with multiple materials, dynamic mechanical properties, and perfusable geometries. In general, these diffusion‐based bioprinting strategies can be categorized into those based on inward diffusion (i.e., into the printed ink from the surrounding air, solution, or support bath), outward diffusion (i.e., from the printed ink into the surroundings), or diffusion within the printed construct (i.e., from one zone to another). This review provides an overview of recent advances in diffusion‐based bioprinting strategies, discusses emerging methods to characterize and predict diffusion in bioprinting, and highlights promising next steps in applying diffusion‐based strategies to overcome current limitations in biofabrication. |
first_indexed | 2024-03-07T22:48:57Z |
format | Article |
id | doaj.art-ddcceb78a4674e66b929344f91431543 |
institution | Directory Open Access Journal |
issn | 2198-3844 |
language | English |
last_indexed | 2024-03-07T22:48:57Z |
publishDate | 2024-02-01 |
publisher | Wiley |
record_format | Article |
series | Advanced Science |
spelling | doaj.art-ddcceb78a4674e66b929344f914315432024-02-23T12:47:39ZengWileyAdvanced Science2198-38442024-02-01118n/an/a10.1002/advs.202306470Diffusion‐Based 3D Bioprinting StrategiesBetty Cai0David Kilian1Daniel Ramos Mejia2Ricardo J. Rios3Ashal Ali4Sarah C. Heilshorn5Department of Materials Science and Engineering Stanford University 476 Lomita Mall Stanford CA 94305 USADepartment of Materials Science and Engineering Stanford University 476 Lomita Mall Stanford CA 94305 USADepartment of Materials Science and Engineering Stanford University 476 Lomita Mall Stanford CA 94305 USADepartment of Materials Science and Engineering Stanford University 476 Lomita Mall Stanford CA 94305 USADepartment of Materials Science and Engineering Stanford University 476 Lomita Mall Stanford CA 94305 USADepartment of Materials Science and Engineering Stanford University 476 Lomita Mall Stanford CA 94305 USAAbstract 3D bioprinting has enabled the fabrication of tissue‐mimetic constructs with freeform designs that include living cells. In the development of new bioprinting techniques, the controlled use of diffusion has become an emerging strategy to tailor the properties and geometry of printed constructs. Specifically, the diffusion of molecules with specialized functions, including crosslinkers, catalysts, growth factors, or viscosity‐modulating agents, across the interface of printed constructs will directly affect material properties such as microstructure, stiffness, and biochemistry, all of which can impact cell phenotype. For example, diffusion‐induced gelation is employed to generate constructs with multiple materials, dynamic mechanical properties, and perfusable geometries. In general, these diffusion‐based bioprinting strategies can be categorized into those based on inward diffusion (i.e., into the printed ink from the surrounding air, solution, or support bath), outward diffusion (i.e., from the printed ink into the surroundings), or diffusion within the printed construct (i.e., from one zone to another). This review provides an overview of recent advances in diffusion‐based bioprinting strategies, discusses emerging methods to characterize and predict diffusion in bioprinting, and highlights promising next steps in applying diffusion‐based strategies to overcome current limitations in biofabrication.https://doi.org/10.1002/advs.202306470bioprintingdiffusioninterfacial gelationmulti‐material constructsperfusable structures |
spellingShingle | Betty Cai David Kilian Daniel Ramos Mejia Ricardo J. Rios Ashal Ali Sarah C. Heilshorn Diffusion‐Based 3D Bioprinting Strategies Advanced Science bioprinting diffusion interfacial gelation multi‐material constructs perfusable structures |
title | Diffusion‐Based 3D Bioprinting Strategies |
title_full | Diffusion‐Based 3D Bioprinting Strategies |
title_fullStr | Diffusion‐Based 3D Bioprinting Strategies |
title_full_unstemmed | Diffusion‐Based 3D Bioprinting Strategies |
title_short | Diffusion‐Based 3D Bioprinting Strategies |
title_sort | diffusion based 3d bioprinting strategies |
topic | bioprinting diffusion interfacial gelation multi‐material constructs perfusable structures |
url | https://doi.org/10.1002/advs.202306470 |
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