Yu Kang, Zhang Xinjie, Sun Yuan, Gao Qing, Fu Jianzhong, Cai Xiujun, He Yong
State Key Laboratory of Fluid Power and Mechatronic Systems, College of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China.
Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China.
Bioact Mater. 2021 Sep 21;11:254-267. doi: 10.1016/j.bioactmat.2021.09.021. eCollection 2022 May.
Since projection-based 3D bioprinting (PBP) could provide high resolution, it is well suited for printing delicate structures for tissue regeneration. However, the low crosslinking density and low photo-crosslinking rate of photocurable bioink make it difficult to print fine structures. Currently, an in-depth understanding of the is lacking. Here, a research framework is established for the analysis of printability during PBP. The gelatin methacryloyl (GelMA)-based bioink is used as an example, and the printability is systematically investigated. We analyze the photo-crosslinking reactions during the PBP process and summarize the specific requirements of bioinks for PBP. Two standard quantized models are established to evaluate 2D and 3D printing errors. Finally, the better strategies for bioprinting five typical structures, including solid organs, vascular structures, nerve conduits, thin-wall scaffolds, and micro needles, are presented.
由于基于投影的3D生物打印(PBP)能够提供高分辨率,因此非常适合打印用于组织再生的精细结构。然而,光固化生物墨水的低交联密度和低光交联速率使得打印精细结构变得困难。目前,尚缺乏对此的深入了解。在此,建立了一个用于分析PBP过程中可打印性的研究框架。以甲基丙烯酸明胶(GelMA)基生物墨水为例,系统地研究了其可打印性。我们分析了PBP过程中的光交联反应,并总结了生物墨水对PBP的具体要求。建立了两个标准量化模型来评估二维和三维打印误差。最后,提出了生物打印五种典型结构(包括实体器官、血管结构、神经导管、薄壁支架和微针)的更好策略。