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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Main Authors: Betty Cai, David Kilian, Daniel Ramos Mejia, Ricardo J. Rios, Ashal Ali, Sarah C. Heilshorn
Format: Article
Language:English
Published: Wiley 2024-02-01
Series:Advanced Science
Subjects:
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.
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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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AT danielramosmejia diffusionbased3dbioprintingstrategies
AT ricardojrios diffusionbased3dbioprintingstrategies
AT ashalali diffusionbased3dbioprintingstrategies
AT sarahcheilshorn diffusionbased3dbioprintingstrategies