Future Perspectives of Biomimetics in Restorative Dentistry

牙本质 搪瓷漆 牙科 口腔修复学 牙齿再矿化 仿生学 材料科学 矿化组织 再矿化 口腔正畸科 纳米技术 医学
作者
Nazwin Basheer,Manavalan Madhana Madhubala,Sekar Mahalaxmi
出处
期刊:Journal of pharmaceutical research international [Sciencedomain International]
卷期号:: 19-28 被引量:6
标识
DOI:10.9734/jpri/2020/v32i2530820
摘要

The main goal of tooth restoration aims at achieving mineralization of initial enamel and dentinal lesions in native form. Most of the restorative materials and remineralization adjuvants for enamel and dentin mineralization are evidenced in the literature. Although commercially available restorative materials exhibit superior esthetics, mechanical properties and cost effectiveness, durability of the restoration threatened by the occurrence of inadequate strength, long-term solubility, and weaker adhesion to tooth and accelerated degradation after being bonded to tooth structure. Recently, the role of biomimetic science in restorative dentistry aims at creating a restoration that can be highly compatible with the structural, functional and biologic properties of dental tissues to reproduce and emulate the original performance of the intact tooth with high durability. In order to recover the prismatic structure in mineral-depleted enamel and to achieve interfibrillar mineralization in dentin, non-collagenous protein analogues have been proposed as templates for apatite deposition. Biomimetic analogues must be necessary to achieve functional mineralization and to recover the dynamic mechanical properties of teeth. The use of these analogues associated with ion-releasing materials seems to be a promising approach for both enamel and dentin remineralization. This review enlightens the current and future perspectives of biomimetic analogues used for enamel and dentin remineralization as the clinical translation of this biomimetic research can be considered as the boon to restorative dentistry.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
1秒前
ouleoule发布了新的文献求助10
1秒前
NexusExplorer应助默默采纳,获得10
1秒前
1秒前
搜集达人应助曾无忧采纳,获得10
2秒前
华仔应助czyczy采纳,获得10
2秒前
4秒前
4秒前
科研通AI2S应助MADKAI采纳,获得10
4秒前
扬帆起航行万里完成签到,获得积分10
5秒前
5秒前
云_123发布了新的文献求助10
7秒前
7秒前
李健的小迷弟应助whale采纳,获得10
9秒前
stop here发布了新的文献求助50
9秒前
可爱的函函应助xww采纳,获得10
9秒前
北栀发布了新的文献求助10
10秒前
stayloy完成签到,获得积分10
10秒前
ybwei2008_163发布了新的文献求助10
10秒前
10秒前
LL发布了新的文献求助10
10秒前
JamesPei应助Denmark采纳,获得10
10秒前
十三月完成签到,获得积分10
10秒前
张磊发布了新的文献求助10
11秒前
biubiuu完成签到,获得积分10
11秒前
HXuer完成签到,获得积分10
12秒前
12秒前
冷酷亦巧发布了新的文献求助10
12秒前
13秒前
六沉发布了新的文献求助10
13秒前
14秒前
积雪完成签到,获得积分10
14秒前
不配.应助活力数据线采纳,获得20
14秒前
Zhong完成签到,获得积分20
14秒前
66发布了新的文献求助10
15秒前
15秒前
15秒前
16秒前
16秒前
16秒前
高分求助中
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Le dégorgement réflexe des Acridiens 800
Defense against predation 800
Very-high-order BVD Schemes Using β-variable THINC Method 568
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3135300
求助须知:如何正确求助?哪些是违规求助? 2786282
关于积分的说明 7776733
捐赠科研通 2442250
什么是DOI,文献DOI怎么找? 1298501
科研通“疑难数据库(出版商)”最低求助积分说明 625124
版权声明 600847