Manganese complexes and manganese-based metal-organic frameworks as contrast agents in MRI and chemotherapeutics agents: Applications and prospects

生物相容性 金属有机骨架 合理设计 纳米技术 材料科学 组合化学 磁共振造影剂 化学 纳米颗粒 有机化学 吸附
作者
Rouqiao Zheng,Jun-Ru Guo,Xinyi Cai,Lianjie Bin,Chengyu Lu,Amita Singh,Manoj Trivedi,Abhinav Kumar,Jian-Qiang Liu
出处
期刊:Colloids and Surfaces B: Biointerfaces [Elsevier BV]
卷期号:213: 112432-112432 被引量:87
标识
DOI:10.1016/j.colsurfb.2022.112432
摘要

Manganese-based Metal-organic Frameworks (Mn-MOFs) represents a unique sub-class of MOFs with low toxicity, oxidative ability, and biocompatibility, which plays vital role in the application of this class of MOFs in medical field. Mn-MOFs show great potential in biomedical applications, and has been extensively studied as compared to other MOFs in transition metal series. They are important in medical applications because Mn(II) possess large electron spin number and longer electron relaxation time. They display fast water exchange rate and could be employed as a potential MRI contrast agent because of their strong targeting ability. Manganese complexes with different ligands also display prospective applications in area such as carrier for drug targeting in anti-tumor and antimicrobial therapy. In the review presented herewith, the application of Mn-based complexes and Mn-MOFs have been emphasized in the area such as imaging viz. MRI, multimodal imaging, antitumor activities such as chemodynamic therapy, photodynamic therapy, sonodynamic therapy and antimicrobial applications. Also, how rational designing and syntheses of targeted Mn-based complexes and Mn-MOFs can engender desired applications.
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
认真的adai发布了新的文献求助10
刚刚
tkx是流氓兔发布了新的文献求助200
刚刚
2秒前
gao发布了新的文献求助10
2秒前
sin_Lee完成签到,获得积分10
2秒前
angel发布了新的文献求助10
2秒前
遇见发布了新的文献求助10
3秒前
活泼的飞扬完成签到,获得积分10
4秒前
齐夜白完成签到,获得积分10
4秒前
Japrin完成签到,获得积分10
4秒前
顾矜应助敏感的山晴采纳,获得10
4秒前
5秒前
02完成签到,获得积分10
6秒前
shw完成签到,获得积分10
6秒前
flash完成签到,获得积分10
7秒前
Zeng完成签到,获得积分10
7秒前
hetao286发布了新的文献求助10
8秒前
信徒发布了新的文献求助10
9秒前
9秒前
xuan完成签到,获得积分10
9秒前
9秒前
合适的落落完成签到 ,获得积分10
9秒前
9秒前
10秒前
10秒前
PWG完成签到,获得积分10
10秒前
英俊的胜完成签到,获得积分10
10秒前
情怀应助欢喜孤风采纳,获得10
11秒前
科研通AI5应助妙aaa采纳,获得10
11秒前
Cui完成签到,获得积分10
11秒前
georgia_qiao完成签到,获得积分10
12秒前
脑洞疼应助睿籽采纳,获得10
12秒前
12秒前
12秒前
直率心锁发布了新的文献求助10
12秒前
13秒前
范范完成签到,获得积分10
13秒前
13秒前
14秒前
STZHEN完成签到,获得积分10
14秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
The Monocyte-to-HDL ratio (MHR) as a prognostic and diagnostic biomarker in Acute Ischemic Stroke: A systematic review with meta-analysis (P9-14.010) 240
Deciphering Earth's History: the Practice of Stratigraphy 200
New Syntheses with Carbon Monoxide 200
Faber on mechanics of patent claim drafting 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3834177
求助须知:如何正确求助?哪些是违规求助? 3376774
关于积分的说明 10494951
捐赠科研通 3096188
什么是DOI,文献DOI怎么找? 1704868
邀请新用户注册赠送积分活动 820249
科研通“疑难数据库(出版商)”最低求助积分说明 771915