[Preparation, properties and antibacterial applications of medical nano-metals and their oxides: a review].

抗菌活性 纳米技术 纳米- 遗传毒性 生物安全 材料科学 化学 毒性 生物技术 细菌 生物 有机化学 遗传学 复合材料
作者
Jiasheng Zuo,Ying� Qin,Zuzhen Zhao,Lu Xing,Tian Liu,Song Wang,Weiqiang Liu
出处
期刊:PubMed 卷期号:39 (4): 1462-1476 被引量:3
标识
DOI:10.13345/j.cjb.220536
摘要

Antibiotics are playing an increasingly important role in clinical antibacterial applications. However, their abuse has also brought toxic and side effects, drug-resistant pathogens, decreased immunity and other problems. New antibacterial schemes in clinic are urgently needed. In recent years, nano-metals and their oxides have attracted wide attention due to their broad-spectrum antibacterial activity. Nano-silver, nano-copper, nano-zinc and their oxides are gradually applied in biomedical field. In this study, the classification and basic properties of nano-metallic materials such as conductivity, superplasticity, catalysis, and antibacterial activities were firstly introduced. Secondly, the common preparation techniques, including physical, chemical and biological methods, were summarized. Subsequently, four main antibacterial mechanisms, such as cell membrane, oxidative stress, DNA destruction and cell respiration reduction, were summarized. Finally, the effect of size, shape, concentration and surface chemical characteristics of nano-metals and their oxides on antibacterial effectiveness and the research status of biological safety such as cytotoxicity, genotoxicity and reproductive toxicity were reviewed. At present, although nano-metals and their oxides have been applied in medical antibacterial, cancer treatment and other clinical fields, some issues such as the development of green preparation technology, the understanding of antibacterial mechanism, the improvement of biosafety, and the expansion of application fields, require further exploration.
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
刚刚
袁佳铖发布了新的文献求助10
刚刚
xiyue完成签到,获得积分10
刚刚
1秒前
wj发布了新的文献求助10
1秒前
lijia3完成签到,获得积分10
1秒前
研友_VZG7GZ应助Someone采纳,获得10
1秒前
张丫丫发布了新的文献求助10
3秒前
3秒前
qqq完成签到 ,获得积分20
4秒前
4秒前
5秒前
智慧大狗发布了新的文献求助10
5秒前
6秒前
西北望发布了新的文献求助10
6秒前
·······完成签到 ,获得积分10
6秒前
山粉圆子发布了新的文献求助10
6秒前
李健应助多多采纳,获得10
7秒前
jtyt发布了新的文献求助10
7秒前
8秒前
难过的蘑菇完成签到,获得积分10
8秒前
Carrie Qin发布了新的文献求助10
9秒前
负责半蕾发布了新的文献求助10
9秒前
9秒前
赘婿应助小陈要发一区采纳,获得10
10秒前
黄紫红发布了新的文献求助10
12秒前
汉堡包应助YXH采纳,获得10
12秒前
12秒前
prisoner发布了新的文献求助10
12秒前
张祖伦发布了新的文献求助10
13秒前
vobin完成签到,获得积分10
13秒前
良辰完成签到,获得积分10
13秒前
杨柯发布了新的文献求助30
14秒前
鳗鱼雪莲发布了新的文献求助10
15秒前
15秒前
15秒前
科研通AI2S应助曲光彩采纳,获得10
15秒前
huan完成签到,获得积分10
15秒前
16秒前
wwhhgg11完成签到,获得积分10
16秒前
高分求助中
Shape Determination of Large Sedimental Rock Fragments 2000
Sustainability in Tides Chemistry 2000
Wirkstoffdesign 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
A Dissection Guide & Atlas to the Rabbit 600
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 3128459
求助须知:如何正确求助?哪些是违规求助? 2779294
关于积分的说明 7742313
捐赠科研通 2434533
什么是DOI,文献DOI怎么找? 1293576
科研通“疑难数据库(出版商)”最低求助积分说明 623344
版权声明 600514