Biomimetic Self-Assembled Chiral Inorganic Nanomaterials: A New Strategy for Solving Medical Problems

手性(物理) 纳米技术 自组装 材料科学 纳米材料 手征异常 物理 Nambu–Jona Lasinio模型 费米子 量子力学
作者
Rong Wei,Xueying Gao,Zhiqiang Cao,Jing Wang,Yu Ma
出处
期刊:Biomimetics [Multidisciplinary Digital Publishing Institute]
卷期号:7 (4): 165-165
标识
DOI:10.3390/biomimetics7040165
摘要

The rapid expansion of the study of chiral inorganic structures has led to the extension of the functional boundaries of inorganic materials. Nature-inspired self-assembled chiral inorganic structures exhibit diverse morphologies due to their high assembly efficiency and controlled assembly process, and they exhibit superior inherent properties such as mechanical properties, chiral optical activity, and chiral fluorescence. Although chiral self-assembled inorganic structures are becoming more mature in chiral catalysis and chiral optical regulation, biomedical research is still in its infancy. In this paper, various forms of chiral self-assembled inorganic structures are summarized, which provides a structural starting point for various applications of chiral self-assembly inorganic structures in biomedical fields. Based on the few existing research statuses and mechanism discussions on the chiral self-assembled materials-mediated regulation of cell behavior, molecular probes, and tumor therapy, this paper provides guidance for future chiral self-assembled structures to solve the same or similar medical problems. In the field of chiral photonics, chiral self-assembled structures exhibit a chirality-induced selection effect, while selectivity is exhibited by chiral isomers in the medical field. It is worth considering whether there is some correspondence or juxtaposition between these phenomena. Future chiral self-assembled structures in medicine will focus on the precise treatment of tumors, induction of soft and hard tissue regeneration, explanation of the biochemical mechanisms and processes of its medical effects, and improvement of related theories.

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
烟花应助22222采纳,获得30
1秒前
饱满服饰发布了新的文献求助10
1秒前
核桃发布了新的文献求助10
1秒前
完美世界应助777777采纳,获得10
1秒前
缥缈纲发布了新的文献求助10
2秒前
Allin完成签到,获得积分10
3秒前
尊敬的寄柔完成签到,获得积分10
3秒前
Lucas应助微笑傥采纳,获得10
3秒前
6秒前
6秒前
yitonghan发布了新的文献求助10
6秒前
7秒前
8秒前
养乐多完成签到,获得积分10
8秒前
酷波er应助丁的采纳,获得10
9秒前
9秒前
所所应助粗心的如松采纳,获得10
9秒前
大个应助homeless采纳,获得10
9秒前
可爱的函函应助曹定采纳,获得10
9秒前
安静的十八完成签到,获得积分10
10秒前
铁树完成签到,获得积分10
10秒前
不奇怪关注了科研通微信公众号
11秒前
快乐宇发布了新的文献求助10
12秒前
dahafei完成签到,获得积分10
12秒前
moonlight发布了新的文献求助10
12秒前
lvzhechen完成签到,获得积分10
13秒前
13秒前
bodhi完成签到,获得积分10
13秒前
wl发布了新的文献求助10
14秒前
核桃发布了新的文献求助10
14秒前
14秒前
15秒前
15秒前
chen发布了新的文献求助10
16秒前
16秒前
17秒前
17秒前
xy关闭了xy文献求助
18秒前
彩色藏鸟完成签到,获得积分10
18秒前
传奇3应助hky采纳,获得10
19秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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 510
Reading and Understanding Health Research 500
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
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 7250996
求助须知:如何正确求助?哪些是违规求助? 8873637
关于积分的说明 18728698
捐赠科研通 6930574
什么是DOI,文献DOI怎么找? 3199257
关于科研通互助平台的介绍 2374281
邀请新用户注册赠送积分活动 2173930