Preparation and performance analysis of zinc-iron-based nanomaterials for targeted transport

纳米材料 核化学 磷酸盐缓冲盐水 药物输送 材料科学 磷酸锌 纳米技术 化学 冶金 色谱法
作者
Wenwen Cheng,Jin Zhang,Na Lin,Ding Yuan,Shuai Zhang,Zhonggang Yang,Tianyi Cao
出处
期刊:Bio-medical Materials and Engineering [IOS Press]
标识
DOI:10.1177/09592989241296437
摘要

Background Nanomaterials have applications in traditional Chinese medicine in the fields of medical equipment manufacturing, targeted transportation, and drug synergistic therapy. Objective The research aims to discuss the performance and performance of zinc-iron-based nanomaterials in medical drug delivery and synergistic drug therapy. Methods Using Prussian materials as precursors, magnetic zinc-iron nanomaterials were prepared by ZnCl 2 and K 3 [Fe (CN) 6 ]. Moreover, the morphology and composition of the material were analyzed. Results X-ray analysis was conducted on the prepared Zn 3 [Fe (CN) 6 ] 2 ·xH 2 O nanomaterials, and their purity met the design requirements. At the same time, drug loading analysis was conducted on Zn 3 [Fe(CN) 6 ] 2 ·xH 2 O, and the release of capsaicin reached 86.3% under a certain phosphate buffer solution. Meanwhile, Zn 3 [Fe (CN) 6 ] 2 ·xH2O loaded tetracycline could release up to 90% in phosphate buffer solution. Antibacterial tests were conducted on self-made Zn 3 [Fe(CN) 6 ] 2 ·xH 2 O samples and ZnFe 2 O 4 /ZnO. The Zn 3 [Fe(CN) 6 ] 2 ·xH 2 O samples showed a more significant inhibitory effect on cancer cells after loading with capsaicin. Conclusion The zinc-iron-based nanomaterials prepared by the research have excellent performance in drug loading and safety, indicating their significant potential for development in the medical field.

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
秋实发布了新的文献求助10
1秒前
科研通AI5应助冰雪物语采纳,获得10
1秒前
化近完成签到,获得积分10
1秒前
2秒前
Okayoooooo发布了新的文献求助10
2秒前
YWang应助G浅浅采纳,获得10
3秒前
3秒前
4秒前
5秒前
5秒前
Owen应助大糖糕僧采纳,获得10
5秒前
5秒前
愉快彩虹完成签到,获得积分10
6秒前
于于于完成签到,获得积分10
6秒前
搞怪不愁完成签到,获得积分10
6秒前
太叔夜南完成签到,获得积分10
6秒前
小张完成签到,获得积分10
6秒前
贪玩蓝月完成签到,获得积分10
6秒前
EVE11完成签到,获得积分10
6秒前
潘趣酒完成签到,获得积分10
7秒前
阿斯顿风格完成签到,获得积分10
7秒前
Victor完成签到,获得积分10
7秒前
直率心锁给直率心锁的求助进行了留言
8秒前
包包酱发布了新的文献求助10
8秒前
SYLH应助思策采纳,获得10
8秒前
糊涂的思菱完成签到,获得积分10
8秒前
酷波er应助Annie采纳,获得10
8秒前
王晓雪完成签到,获得积分10
9秒前
化近发布了新的文献求助10
9秒前
伶俐世德完成签到,获得积分10
9秒前
暮沐晓光完成签到,获得积分10
9秒前
自由的小翠完成签到 ,获得积分10
9秒前
研友_LN3xyn完成签到,获得积分10
10秒前
胜男完成签到,获得积分10
10秒前
贪玩蓝月发布了新的文献求助10
10秒前
lilia发布了新的文献求助10
11秒前
ruyan完成签到,获得积分10
12秒前
12秒前
个性归尘应助BLAZe采纳,获得20
12秒前
米奇完成签到,获得积分10
13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
On translated images, stereotypes and disciplines 200
Deciphering Earth's History: the Practice of Stratigraphy 200
New Syntheses with Carbon Monoxide 200
Quanterion Automated Databook NPRD-2023 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 3834256
求助须知:如何正确求助?哪些是违规求助? 3376847
关于积分的说明 10495379
捐赠科研通 3096271
什么是DOI,文献DOI怎么找? 1704904
邀请新用户注册赠送积分活动 820296
科研通“疑难数据库(出版商)”最低求助积分说明 771940