A Systematic Thermal Analysis for Accurately Predicting the Extrusion Printability of Alginate-Gelatin-Based Hydrogel Bioinks.
A Systematic Thermal Analysis for Accurately Predicting the Extrusion Printability of Alginate-Gelatin-Based Hydrogel Bioinks.
复制标题
用于准确预测海藻酸盐-明胶水凝胶生物墨水的挤出印刷适性的系统热分析
DOI:
10.18063/ijb.v7i3.394
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发表时间:
2021
影响因子:
8.4
通讯作者:
Bai D
中科院分区:
文献类型:
--
作者:
Li Q;Zhang B;Xue Q;Zhao C;Luo Y;Zhou H;Ma L;Yang H;Bai D
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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影响因子:
16.6
作者:
Kong, Bin;Chen, Yun;Mi, Shengli
通讯作者:
Mi, Shengli
影响因子:
9
作者:
Gao T;Gillispie GJ;Copus JS;Pr AK;Seol YJ;Atala A;Yoo JJ;Lee SJ
通讯作者:
Lee SJ
DOI:
10.1002/adma.201604630
发表时间:
2017-01
期刊:
Advanced materials (Deerfield Beach, Fla.)
影响因子:
--
作者:
Liu W;Zhang YS;Heinrich MA;De Ferrari F;Jang HL;Bakht SM;Alvarez MM;Yang J;Li YC;Trujillo-de Santiago G;Miri AK;Zhu K;Khoshakhlagh P;Prakash G;Cheng H;Guan X;Zhong Z;Ju J;Zhu GH;Jin X;Shin SR;Dokmeci MR;Khademhosseini A
通讯作者:
Khademhosseini A
影响因子:
8.4
作者:
Kolan, Krishna C. R.;Semon, Julie A.;Leu, Ming C.
通讯作者:
Leu, Ming C.
影响因子:
46.9
作者:
Kang, Hyun-Wook;Lee, Sang Jin;Atala, Anthony
通讯作者:
Atala, Anthony