Numerical modelling of osteocyte growth on different bone tissue scaffolds

骨细胞 脚手架 生物医学工程 材料科学 剪应力 生物反应器 骨整合 再生(生物学) 组织工程 骨生长 细胞生长 化学 成骨细胞 复合材料 细胞生物学 植入 医学 生物 外科 内科学 有机化学 体外 生物化学
作者
Concepción Paz,Eduardo Suárez,C. Gil,Oscar Parga
出处
期刊:Computer Methods in Biomechanics and Biomedical Engineering [Informa]
卷期号:25 (6): 641-655 被引量:5
标识
DOI:10.1080/10255842.2021.1972290
摘要

The most common solution for the regeneration or replacement of damaged bones is the implantation of prostheses comprising ceramic or metallic materials. However, these implants are known to cause problems such as post-operative infections, collapse of the prosthesis, and lack of osseointegration. Consequently, bone tissue engineering was established because of the limitations of such implants. Osteogenic implants offer promising solutions for bone regeneration; however, three-dimensional scaffolds should be used as supportive structures. It is challenging to correctly design these structures and their compositions or properties to provide a microenvironment that promotes tissue regeneration and expedites bone formation. Computational fluid dynamics can be used to model the main phenomena that occur in bioreactors, such as cell metabolism, nutrient transport, and cell culture growth, or to model the influence of several key mechanisms related to the fluid medium, in particular, the wall shear stress. In this work, a new numerical bone cell growth model was developed, which considered the oxygen and nutrient consumption as well as the wall shear stress effect on cell proliferation. The model was implemented using 35 three-dimensional scaffolds of different porosities, and the effect of the main geometrical parameters involved in each scaffold type was analysed. The porosity plays an important role, however, a similar porosity did not guarantee similar shear stress or cell growth among the scaffolds. Randomised trabecular scaffolds, that more closely resembled trabecular bone, showed the highest cell growth values, so these are the best candidates for cell growth in a bioreactor.
最长约 10秒,即可获得该文献文件

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
刚刚
干净鬼神发布了新的文献求助10
2秒前
Malmever完成签到,获得积分10
5秒前
李健的粉丝团团长应助lrj采纳,获得10
5秒前
缓慢的蘑菇完成签到 ,获得积分10
8秒前
华仔应助Kamelia采纳,获得10
10秒前
ablesic.rong完成签到,获得积分10
10秒前
去码头整点薯条完成签到,获得积分10
11秒前
深情安青应助雨落采纳,获得10
13秒前
14秒前
15秒前
Orange应助ablesic.rong采纳,获得10
15秒前
Mark完成签到 ,获得积分10
16秒前
17秒前
klyy516发布了新的文献求助10
18秒前
lrj发布了新的文献求助10
19秒前
小葛完成签到,获得积分10
20秒前
斯文慕山发布了新的文献求助30
21秒前
li发布了新的文献求助10
22秒前
zjsu_zpz完成签到,获得积分20
26秒前
29秒前
小小朝完成签到,获得积分10
29秒前
交通小白发布了新的文献求助10
29秒前
小二郎应助十月采纳,获得10
30秒前
科目三应助li采纳,获得10
30秒前
orixero应助lrj采纳,获得10
31秒前
乐乐应助escapeace采纳,获得30
31秒前
32秒前
科研通AI5应助山海采纳,获得10
34秒前
霸气大米完成签到 ,获得积分10
34秒前
34秒前
南楼小阁主完成签到,获得积分10
34秒前
小葛发布了新的文献求助200
36秒前
吃颗糖吧发布了新的文献求助10
36秒前
独行侠完成签到,获得积分10
37秒前
等下一个黎明完成签到,获得积分10
37秒前
37秒前
Charles发布了新的文献求助10
39秒前
39秒前
852应助笑点低的曲奇采纳,获得10
40秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Structural Load Modelling and Combination for Performance and Safety Evaluation 1000
Conference Record, IAS Annual Meeting 1977 820
England and the Discovery of America, 1481-1620 600
電気学会論文誌D(産業応用部門誌), 141 巻, 11 号 510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3572296
求助须知:如何正确求助?哪些是违规求助? 3142501
关于积分的说明 9448015
捐赠科研通 2843973
什么是DOI,文献DOI怎么找? 1563103
邀请新用户注册赠送积分活动 731630
科研通“疑难数据库(出版商)”最低求助积分说明 718640