Adjusting the accuracy of PEGDA-GelMA vascular network by dark pigments via digital light processing printing

吸光度 材料科学 乙二醇 明胶 自愈水凝胶 复合材料 固化(化学) 色差 猪皮 数字光处理 生物医学工程 高分子化学 化学工程 光学 化学 色谱法 计算机科学 有机化学 医学 投影机 物理 滤波器(信号处理) 工程类 计算机视觉
作者
Lin Sheng,Mo Li,Shuxian Zheng,Jian Qi
出处
期刊:Journal of Biomaterials Applications [SAGE]
卷期号:36 (7): 1173-1187 被引量:12
标识
DOI:10.1177/08853282211053081
摘要

Vascularization is one of the most important factors greatly influencing scaffold regeneration. In this study, a precise network of hollow vessels was printed by digital light processing (DLP) with poly(ethylene glycol) diacrylate (PEGDA)/gelatin-methacryloyl (GelMA), and dark pigmentation absorbers were added to ensure printing accuracy. First, the compound bio-inks of the PEGDA-GelMA hydrogel were prepared for direct vascular printing, and a high-precision DLP system was established. Second, the printing effects of three dark absorbers, namely, nigrosin, brilliant black, and brilliant blue, on the x-, y-, and z-axes were studied. By printing models with different densities, it was determined that 0.2% nigrosin, 0.1% brilliant black, and 0.3% brilliant blue had better effects on the x- and y-axes accuracy, and the absorbance of the absorbers played a decisive role in adjusting the accuracy. Additionally, to solve the problem of uneven curing on the upper and lower surfaces caused by the addition of an absorber with high absorbance, a model of the difference in curing width between the upper and lower surfaces of a unit-layer slice based on high-absorbance absorbers was established, and the reference value for the slice thickness was calculated. Third, the biological and mechanical properties of the bio-inks were verified with scanning electron microscopy and Fourier transform infrared, and by tensile, swelling, degradation, and cytotoxicity tests on different concentrations of PEGDA-GelMA hydrogel and absorbers. The results showed that 30% PEGDA-7% GelMA/0.1% brilliant black was the optimal preparation to print a hollow vascular network. The error of the printing tube wall and cavity was between 1% and 3%, which demonstrates the high precision of the method. Human umbilical vein endothelial cells were planted in the lumen, and the survival rate achieved 107% on the seventh day, demonstrating the good biocompatibility of the composite hydrogel.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
打打应助伶俐的冥幽采纳,获得10
刚刚
2秒前
zw0907发布了新的文献求助10
3秒前
科研通AI6.2应助东方翰采纳,获得10
3秒前
YEM发布了新的文献求助10
3秒前
4秒前
4秒前
完美世界应助DoctorW采纳,获得10
5秒前
6秒前
6秒前
6秒前
菲菲发布了新的文献求助30
7秒前
8秒前
852应助王其超采纳,获得10
9秒前
an发布了新的文献求助10
9秒前
scl发布了新的文献求助10
10秒前
11秒前
柚子完成签到,获得积分10
11秒前
wx1067035397发布了新的文献求助30
11秒前
星辰大海应助大藜小妮采纳,获得10
12秒前
花川完成签到 ,获得积分10
12秒前
13秒前
结实半邪完成签到,获得积分10
14秒前
英俊的铭应助小李采纳,获得10
14秒前
Lin完成签到 ,获得积分10
15秒前
墨墨完成签到,获得积分10
16秒前
17秒前
香蕉觅云应助Leon采纳,获得10
19秒前
20秒前
科研通AI6.1应助aliu采纳,获得10
20秒前
科研通AI6.1应助zw0907采纳,获得30
22秒前
风茠住发布了新的文献求助50
22秒前
科研通AI6.2应助123采纳,获得10
23秒前
23秒前
科研通AI6.1应助li采纳,获得10
24秒前
所所应助Tsuki采纳,获得30
25秒前
26秒前
an完成签到,获得积分10
26秒前
科研通AI6.2应助王恒采纳,获得10
27秒前
丘比特应助rose采纳,获得10
27秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Kinesiophobia : a new view of chronic pain behavior 3000
Les Mantodea de guyane 2500
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 2000
Standard: In-Space Storable Fluid Transfer for Prepared Spacecraft (AIAA S-157-2024) 1000
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5949164
求助须知:如何正确求助?哪些是违规求助? 7120910
关于积分的说明 15914827
捐赠科研通 5082220
什么是DOI,文献DOI怎么找? 2732441
邀请新用户注册赠送积分活动 1692923
关于科研通互助平台的介绍 1615582