Extrusion bioprinting: Recent progress, challenges, and future opportunities

Ramesh, Srikanthan; Harrysson, Ola L. A.; Rao, Prahalada; Tamayol, Ali; Cormier, Denis; Zhang, Yunbo; Rivero, Iris V.

doi:10.1016/j.bprint.2020.e00116

Cited by 99 publications

(79 citation statements)

References 124 publications

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“…Nowadays, the most-used technology is the filament-based one, with different extrusion mechanisms: pneumatic, piston, and screw-driving ( Figure 1 ). Extrusion-based techniques resulting in filament deposition are nowadays the most used as they can quickly produce scaffolds of a resolution down to 100 μm in an affordable and relatively simple way [ 14 ].…”

Section: 3d Bioprinting At a Glancementioning

confidence: 99%

Current Advances in 3D Bioprinting for Cancer Modeling and Personalized Medicine

Germain

Dhayer

Dekiouk

et al. 2022

IJMS

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Tumor cells evolve in a complex and heterogeneous environment composed of different cell types and an extracellular matrix. Current 2D culture methods are very limited in their ability to mimic the cancer cell environment. In recent years, various 3D models of cancer cells have been developed, notably in the form of spheroids/organoids, using scaffold or cancer-on-chip devices. However, these models have the disadvantage of not being able to precisely control the organization of multiple cell types in complex architecture and are sometimes not very reproducible in their production, and this is especially true for spheroids. Three-dimensional bioprinting can produce complex, multi-cellular, and reproducible constructs in which the matrix composition and rigidity can be adapted locally or globally to the tumor model studied. For these reasons, 3D bioprinting seems to be the technique of choice to mimic the tumor microenvironment in vivo as closely as possible. In this review, we discuss different 3D-bioprinting technologies, including bioinks and crosslinkers that can be used for in vitro cancer models and the techniques used to study cells grown in hydrogels; finally, we provide some applications of bioprinted cancer models.

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Section: 3d Bioprinting At a Glancementioning

confidence: 99%

Current Advances in 3D Bioprinting for Cancer Modeling and Personalized Medicine

Germain

Dhayer

Dekiouk

et al. 2022

IJMS

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“…Extrusion bioprinting systems use a pneumatic system to dispense bioinks through nozzles that move according to a computer-generated toolpath. Extrusion pressure needs to be sufficient to overcome the surface tension of the bioink and in protein-based materials are usually <100 KPa [ 138 ]. While low extrusion pressures can lead to the formation of discontinuities in printed filaments, high pressures can cause flow instability.…”

Section: Protein-based Bioinksmentioning

confidence: 99%

“…By definition a bioink is formed by combining cells with the established hydrogel formulation, to produce engineered live tissues using 3D printing technology [ 138 ]. Thus, cell incorporation is an essential processing step that not only contemplates the choice of cell type(s) and maturity but also cell density.…”

Section: Protein-based Bioinksmentioning

confidence: 99%

Current Trends on Protein Driven Bioinks for 3D Printing

et al. 2021

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In the last decade, three-dimensional (3D) extrusion bioprinting has been on the top trend for innovative technologies in the field of biomedical engineering. In particular, protein-based bioinks such as collagen, gelatin, silk fibroin, elastic, fibrin and protein complexes based on decellularized extracellular matrix (dECM) are receiving increasing attention. This current interest is the result of protein’s tunable properties, biocompatibility, environmentally friendly nature and possibility to provide cells with the adequate cues, mimicking the extracellular matrix’s function. In this review we describe the most relevant stages of the development of a protein-driven bioink. The most popular formulations, molecular weights and extraction methods are covered. The different crosslinking methods used in protein bioinks, the formulation with other polymeric systems or molecules of interest as well as the bioprinting settings are herein highlighted. The cell embedding procedures, the in vitro, in vivo, in situ studies and final applications are also discussed. Finally, we approach the development and optimization of bioinks from a sequential perspective, discussing the relevance of each parameter during the pre-processing, processing, and post-processing stages of technological development. Through this approach the present review expects to provide, in a sequential manner, helpful methodological guidelines for the development of novel bioinks.

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“…Extrusion-based bioprinting is the most widely used. It can produce scaffolds that do not contain organic solvents harmful to the human body and fabricate them precisely by applying pressure to the biomaterials [ 7 ]. Inkjet bioprinting has the advantage of printing various cells in a particular location precisely [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Optimized 3D Bioprinting Technology Based on Machine Learning: A Review of Recent Trends and Advances

Shin

Lee

et al. 2022

Micromachines

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The need for organ transplants has risen, but the number of available organ donations for transplants has stagnated worldwide. Regenerative medicine has been developed to make natural organs or tissue-like structures with biocompatible materials and solve the donor shortage problem. Using biomaterials and embedded cells, a bioprinter enables the fabrication of complex and functional three-dimensional (3D) structures of the organs or tissues for regenerative medicine. Moreover, conventional surgical 3D models are made of rigid plastic or rubbers, preventing surgeons from interacting with real organ or tissue-like models. Thus, finding suitable biomaterials and printing methods will accelerate the printing of sophisticated organ structures and the development of realistic models to refine surgical techniques and tools before the surgery. In addition, printing parameters (e.g., printing speed, dispensing pressure, and nozzle diameter) considered in the bioprinting process should be optimized. Therefore, machine learning (ML) technology can be a powerful tool to optimize the numerous bioprinting parameters. Overall, this review paper is focused on various ideas on the ML applications of 3D printing and bioprinting to optimize parameters and procedures.

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Extrusion bioprinting: Recent progress, challenges, and future opportunities

Cited by 99 publications

References 124 publications

Current Advances in 3D Bioprinting for Cancer Modeling and Personalized Medicine

Current Advances in 3D Bioprinting for Cancer Modeling and Personalized Medicine

Current Trends on Protein Driven Bioinks for 3D Printing

Optimized 3D Bioprinting Technology Based on Machine Learning: A Review of Recent Trends and Advances

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