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A Systematic Thermal Analysis for Accurately Predicting the Extrusion Printability of Alginate–Gelatin-Based Hydrogel Bioinks

Three-dimensional (3D) bioprinting has significant potential for addressing the global problem of organ shortages. Extrusion printing is a versatile 3D bioprinting technique, but its low accuracy currently limits the solution. This lack of precision is attributed largely to the complex thermal and d...

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Autores principales: Li, Qi, Zhang, Bin, Xue, Qian, Zhao, Chunxiao, Luo, Yichen, Zhou, Hongzhao, Ma, Liang, Yang, Huayong, Bai, Dapeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Whioce Publishing Pte. Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8287498/
https://www.ncbi.nlm.nih.gov/pubmed/34286156
http://dx.doi.org/10.18063/ijb.v7i3.394
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author Li, Qi
Zhang, Bin
Xue, Qian
Zhao, Chunxiao
Luo, Yichen
Zhou, Hongzhao
Ma, Liang
Yang, Huayong
Bai, Dapeng
author_facet Li, Qi
Zhang, Bin
Xue, Qian
Zhao, Chunxiao
Luo, Yichen
Zhou, Hongzhao
Ma, Liang
Yang, Huayong
Bai, Dapeng
author_sort Li, Qi
collection PubMed
description Three-dimensional (3D) bioprinting has significant potential for addressing the global problem of organ shortages. Extrusion printing is a versatile 3D bioprinting technique, but its low accuracy currently limits the solution. This lack of precision is attributed largely to the complex thermal and dynamic properties of bioinks and makes it difficult to provide accurate estimations of the printed results. It is necessary to understand the relationship between printing temperature and materials’ printability to address this issue. This paper proposes a quantitative thermal model incorporating a system’s printing temperatures (syringe, ambient, and bioink) to facilitate accurate estimations of the printing outcomes. A physical model was established to reveal the relationship between temperature, pressure, and velocity in guiding the printing of sodium alginate–gelatin composite hydrogel (a popular bioink) to optimize its extrusion-based printability. The model considered the phenomenon of bioink die swells after extrusion. A series of extrusion experiments confirmed that the proposed model offers enhanced printing outcome estimations compared with conventional models. Two types of nozzles (32- and 23-gauge) were used to print several sets of lines with a linewidth step of 50 mm by regulating the extrudate’s temperature, pressure, and velocity separately. The study confirmed the potential for establishing a reasonable, accurate open-loop linewidth control based on the proposed optimization method to expand the application of extrusion-based bioprinting further.
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spelling pubmed-82874982021-07-19 A Systematic Thermal Analysis for Accurately Predicting the Extrusion Printability of Alginate–Gelatin-Based Hydrogel Bioinks Li, Qi Zhang, Bin Xue, Qian Zhao, Chunxiao Luo, Yichen Zhou, Hongzhao Ma, Liang Yang, Huayong Bai, Dapeng Int J Bioprint Research Article Three-dimensional (3D) bioprinting has significant potential for addressing the global problem of organ shortages. Extrusion printing is a versatile 3D bioprinting technique, but its low accuracy currently limits the solution. This lack of precision is attributed largely to the complex thermal and dynamic properties of bioinks and makes it difficult to provide accurate estimations of the printed results. It is necessary to understand the relationship between printing temperature and materials’ printability to address this issue. This paper proposes a quantitative thermal model incorporating a system’s printing temperatures (syringe, ambient, and bioink) to facilitate accurate estimations of the printing outcomes. A physical model was established to reveal the relationship between temperature, pressure, and velocity in guiding the printing of sodium alginate–gelatin composite hydrogel (a popular bioink) to optimize its extrusion-based printability. The model considered the phenomenon of bioink die swells after extrusion. A series of extrusion experiments confirmed that the proposed model offers enhanced printing outcome estimations compared with conventional models. Two types of nozzles (32- and 23-gauge) were used to print several sets of lines with a linewidth step of 50 mm by regulating the extrudate’s temperature, pressure, and velocity separately. The study confirmed the potential for establishing a reasonable, accurate open-loop linewidth control based on the proposed optimization method to expand the application of extrusion-based bioprinting further. Whioce Publishing Pte. Ltd. 2021-06-22 /pmc/articles/PMC8287498/ /pubmed/34286156 http://dx.doi.org/10.18063/ijb.v7i3.394 Text en Copyright: © 2021 Li, et al. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Attribution-NonCommercial 4.0 International 4.0 (CC BY-NC 4.0), which permits all non-commercial use, distribution, and reproduction in any medium provided the original work is properly cited.
spellingShingle Research Article
Li, Qi
Zhang, Bin
Xue, Qian
Zhao, Chunxiao
Luo, Yichen
Zhou, Hongzhao
Ma, Liang
Yang, Huayong
Bai, Dapeng
A Systematic Thermal Analysis for Accurately Predicting the Extrusion Printability of Alginate–Gelatin-Based Hydrogel Bioinks
title A Systematic Thermal Analysis for Accurately Predicting the Extrusion Printability of Alginate–Gelatin-Based Hydrogel Bioinks
title_full A Systematic Thermal Analysis for Accurately Predicting the Extrusion Printability of Alginate–Gelatin-Based Hydrogel Bioinks
title_fullStr A Systematic Thermal Analysis for Accurately Predicting the Extrusion Printability of Alginate–Gelatin-Based Hydrogel Bioinks
title_full_unstemmed A Systematic Thermal Analysis for Accurately Predicting the Extrusion Printability of Alginate–Gelatin-Based Hydrogel Bioinks
title_short A Systematic Thermal Analysis for Accurately Predicting the Extrusion Printability of Alginate–Gelatin-Based Hydrogel Bioinks
title_sort systematic thermal analysis for accurately predicting the extrusion printability of alginate–gelatin-based hydrogel bioinks
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8287498/
https://www.ncbi.nlm.nih.gov/pubmed/34286156
http://dx.doi.org/10.18063/ijb.v7i3.394
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