脚手架
聚己内酯
组织工程
生物医学工程
材料科学
活力测定
干细胞
抗压强度
复合材料
化学
体外
细胞生物学
工程类
生物
生物化学
聚合物
作者
Saahil V. Mehendale,Liliana F. Mellor,Michael A. Taylor,Elizabeth G. Loboa,Rohan A. Shirwaiker
出处
期刊:Rapid Prototyping Journal
[Emerald (MCB UP)]
日期:2017-03-17
卷期号:23 (3): 534-542
被引量:17
标识
DOI:10.1108/rpj-03-2016-0035
摘要
Purpose This study aims to investigate the effect of three-dimensional (3D)- bioplotted polycaprolactone (PCL) scaffold geometry on the biological and mechanical characteristics of human adipose-derived stem cell (hASC) seeded constructs. Design/methodology/approach Four 3D-bioplotted scaffold disc designs (Ø14.5 × 2 mm) with two levels of strand–pore feature sizes and two strand laydown patterns (0°/90° or 0°/120°/240°) were evaluated for hASC viability, proliferation and construct compressive stiffness after 14 days of in vitro cell culture. Findings Scaffolds with the highest porosity (smaller strand–pore size in 0°/120°/240°) yielded the highest hASC proliferation and viability. Further testing of this design in a 6-mm thick configuration showed that cells were able to penetrate and proliferate throughout the scaffold thickness. The design with the lowest porosity (larger strand–pore size in 0°/90°) had the highest compression modulus after 14 days of culture, but resulted in the lowest hASC viability. The strand laydown pattern by itself did not influence the compression modulus of scaffolds. The 14-day cell culture also did not cause significant changes in compressive properties in any of the four designs. Originality/value hASC hold great potential for musculoskeletal tissue engineering applications because of their relative ease of harvest, abundance and differentiation abilities. This study reports on the effects of 3D-bioplotted scaffold geometry on mechanical and biological characteristics of hASC-seeded PCL constructs. The results provide the basis for future studies which will use this optimal scaffold design to develop constructs for hASC-based osteochondral tissue engineering applications.
科研通智能强力驱动
Strongly Powered by AbleSci AI