All-natural ceramic composite bone scaffolds of whitlockite/wollastonite fibers: DLP additive manufacturing, microstructure, and performance

材料科学 硅灰石 微观结构 复合材料 白云石 复合数 纤维 陶瓷 冶金 有机化学 化学 原材料
作者
Wang Guo,Lei Zhao,Ping Li,Enyu Wang,Yuanjie Pang,Yanting Wei,Bowen Li,Yanjian Huang,Bin Liu,Shan Wang,Hui You,Yu Long
出处
期刊:Journal of materials research and technology [Elsevier BV]
卷期号:33: 7391-7405 被引量:14
标识
DOI:10.1016/j.jmrt.2024.11.077
摘要

In this study, we introduced a novel approach by using natural calcium phosphate-based ceramic whitlockite as the matrix, natural silicon-based ceramic wollastonite fiber as the secondary phase, and desktop-level DLP 3D printing as the fabrication method to develop an all-natural ceramic porous bone scaffold with excellent mechanical, degradable, biomineralization, and cell responses. The results demonstrated that, at a solid loading of 75 wt% and a sintering temperature of 1000°C, the compressive strength of the whitlockite porous scaffold reached 20.0 MPa. With the incorporation of wollastonite fiber, the compressive strength of the composite ceramic scaffold further increased to 31.0 MPa, achieving a top-tier level for desktop-level DLP-printed porous ceramic bone scaffolds. This mechanical enhancement effect was mainly attributed to the grain refinement effect of WF on whitlockite and the fiber reinforcement effect of WF. Additionally, the degradation rate of the composite ceramic scaffold increased with higher WF content, attributed to the rapid degradation rate of WF and the microstructural changes in the whitlockite matrix induced by WF doping. Furthermore, the biomineralization capability and cellular response of the composite ceramic scaffold were enhanced with WF doping, due to the improved degradation ability promoting the release of calcium, phosphate, and silicon ions. This study further validates the applicability of desktop-level DLP for fabricating ceramic bone scaffolds and provides evidence of the potential of all-natural ceramic whitlockite/WF as bone scaffold materials.
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
万能图书馆应助zxkqbhhax采纳,获得10
3秒前
小二郎应助嘻嘻采纳,获得10
3秒前
3秒前
llllmq完成签到,获得积分10
4秒前
NQP完成签到,获得积分10
4秒前
Sxq完成签到,获得积分10
4秒前
4秒前
思维隋发布了新的文献求助10
5秒前
nostalgic完成签到,获得积分10
7秒前
勤恳易谙完成签到,获得积分10
7秒前
7秒前
苌枫发布了新的文献求助10
8秒前
文静谷秋完成签到,获得积分10
8秒前
8秒前
strama完成签到 ,获得积分10
8秒前
111完成签到 ,获得积分10
8秒前
金磊完成签到,获得积分10
9秒前
matafeiyan完成签到,获得积分10
10秒前
cuicuisha发布了新的文献求助10
11秒前
12秒前
翟思宇发布了新的文献求助10
12秒前
淡定的白山完成签到,获得积分10
12秒前
13秒前
lxy发布了新的文献求助30
13秒前
星辰大海应助柳绿柳采纳,获得10
13秒前
屈屈完成签到,获得积分10
13秒前
14秒前
xxx7749发布了新的文献求助10
14秒前
Abel完成签到 ,获得积分10
15秒前
15秒前
SciGPT应助cuicuisha采纳,获得10
16秒前
嘻嘻发布了新的文献求助10
17秒前
我们去哪li完成签到,获得积分10
17秒前
思维隋完成签到 ,获得积分10
17秒前
上岸应助Bin_Liu采纳,获得10
18秒前
受伤小虾米完成签到,获得积分10
18秒前
王金铭完成签到,获得积分10
18秒前
隐形曼青应助花開采纳,获得10
18秒前
19秒前
626完成签到,获得积分10
19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
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
Variations: A More Diverse Picture of Contemporary Art 400
A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) Fourth Edition 400
Induction Heating and Heat Treatment (ASM Handbook, Volume 4C) 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7586666
求助须知:如何正确求助?哪些是违规求助? 9164967
关于积分的说明 19613995
捐赠科研通 7167126
什么是DOI,文献DOI怎么找? 3266683
关于科研通互助平台的介绍 2431714
邀请新用户注册赠送积分活动 2258508