Classification of Biomaterial Functionality

生物材料 选择(遗传算法) 计算机科学 材料选择 生物材料 生化工程 工程类 纳米技术
作者
Arun Arjunan,Ahmad Baroutaji,Ayyappan Susila Praveen,John Robinson,Chang Wang
出处
期刊:Elsevier eBooks [Elsevier]
被引量:5
标识
DOI:10.1016/b978-0-12-815732-9.00027-9
摘要

The rapid evolution in biomaterial performance over the last decade calls for an ever-increasing need in the classification of their functionalities. In many cases, emerging biomaterials are expected to be multifunctional, customizable, and biologically active. It is also likely that the future of biomaterials will assume even greater roles in terms of their bioactive capabilities making it all the more difficult to be regulated. As such a functional classification of biomaterials allows to consider both the safety, performance, and application while facilitating the selection of the best candidate material. Although every biomaterial undergoes rigorous experimental evaluation, they are often classified similarly to conventional materials based on their composition. This contributes to the challenges in biomaterials selection, evaluation, and use, which can subsequently lead to convoluted regulations, and inherent biases. The paper, therefore, provides a general introduction into the classification of biomaterials based on their functionalities. In this regard, the biomaterial qualifiers are introduced and summarized into an overall framework in a way that allows for meaningful classification. Furthermore, the framework that is presented can accommodate both traditional and emerging biomaterials based on their existing biomechanical performance and evolving functionalities.

科研通智能强力驱动
Strongly Powered by AbleSci AI

祝大家在新的一年里科研腾飞
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
whosyourdaddyva完成签到,获得积分10
1秒前
芳芳子呀完成签到,获得积分10
1秒前
2秒前
科研小白完成签到 ,获得积分10
3秒前
wang发布了新的文献求助10
3秒前
bkagyin应助薛定谔的猫采纳,获得10
4秒前
Jasper应助刻苦傲安采纳,获得10
4秒前
4秒前
谦让的莆完成签到 ,获得积分10
5秒前
A1B2C3D4E5F6发布了新的文献求助10
7秒前
8秒前
wang完成签到,获得积分10
9秒前
10秒前
大渣饼完成签到 ,获得积分10
12秒前
13秒前
14秒前
Ash发布了新的文献求助10
14秒前
夏夏是只猫完成签到,获得积分10
14秒前
unix完成签到,获得积分10
14秒前
16秒前
林林完成签到 ,获得积分10
16秒前
17秒前
哆哆发布了新的文献求助10
19秒前
23秒前
刻苦傲安发布了新的文献求助10
23秒前
Jiny完成签到,获得积分10
24秒前
HDrinnk完成签到,获得积分10
27秒前
27秒前
28秒前
科研通AI6.1应助哆哆采纳,获得10
28秒前
California完成签到 ,获得积分10
28秒前
酷波er应助顶天立地采纳,获得10
29秒前
30秒前
小富婆发布了新的文献求助10
33秒前
34秒前
小马完成签到,获得积分10
34秒前
薛定谔的猫完成签到,获得积分10
36秒前
Atoxus发布了新的文献求助10
38秒前
byd发布了新的文献求助10
40秒前
星辰大海应助大力的图图采纳,获得30
40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
Psychology and Work Today 1400
Operational Bulk Evaporation Duct Model for MORIAH Version 1.2 1200
Variants in Economic Theory 1000
Global Ingredients & Formulations Guide 2014, Hardcover 1000
Research for Social Workers 1000
Signals, Systems, and Signal Processing 880
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 5841775
求助须知:如何正确求助?哪些是违规求助? 6166428
关于积分的说明 15607934
捐赠科研通 4959015
什么是DOI,文献DOI怎么找? 2673584
邀请新用户注册赠送积分活动 1618487
关于科研通互助平台的介绍 1573557