Mesoporous Silica Nanoparticles as a Potential Nanoplatform: Therapeutic Applications and Considerations

介孔二氧化硅 纳米技术 纳米载体 生物安全 药物输送 纳米颗粒 计算机科学 材料科学 介孔材料 化学 医学 生物化学 病理 催化作用
作者
Krismala Djayanti,Pooja Maharjan,Kwan Hyung Cho,Sehoon Jeong,Man Su Kim,Meong Cheol Shin,Kyung Up Min
出处
期刊:International Journal of Molecular Sciences [MDPI AG]
卷期号:24 (7): 6349-6349 被引量:6
标识
DOI:10.3390/ijms24076349
摘要

With advances in nanotechnology, nanoparticles have come to be regarded as carriers of therapeutic agents and have been widely studied to overcome various diseases in the biomedical field. Among these particles, mesoporous silica nanoparticles (MSNs) have been investigated as potential nanocarriers to deliver drug molecules to various target sites in the body. This review introduces the physicochemical properties of MSNs and synthesis procedures of MSN-based nanoplatforms. Moreover, we focus on updating biomedical applications of MSNs as a carrier of therapeutic or diagnostic cargo and review clinical trials using silica-nanoparticle-based systems. Herein, on the one hand, we pay attention to the pharmaceutical advantages of MSNs, including nanometer particle size, high surface area, and porous structures, thus enabling efficient delivery of high drug-loading content. On the other hand, we look through biosafety and toxicity issues associated with MSN-based platforms. Based on many reports so far, MSNs have been widely applied to construct tissue engineering platforms as well as treat various diseases, including cancer, by surface functionalization or incorporation of stimuli-responsive components. However, even with the advantageous aspects that MSNs possess, there are still considerations, such as optimizing physicochemical properties or dosage regimens, regarding use of MSNs in clinics. Progress in synthesis procedures and scale-up production as well as a thorough investigation into the biosafety of MSNs would enable design of innovative and safe MSN-based platforms in biomedical fields.

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
Owen应助清秀的雁露采纳,获得10
1秒前
Zyc发布了新的文献求助10
1秒前
豆浆油条完成签到 ,获得积分10
2秒前
梁寒发布了新的文献求助10
2秒前
2秒前
李爱国应助zgl采纳,获得10
5秒前
kustmustshnu发布了新的文献求助10
5秒前
6秒前
天赋丸子完成签到,获得积分10
7秒前
8秒前
9秒前
Orange应助阿飞飞采纳,获得10
11秒前
ashore发布了新的文献求助10
12秒前
14秒前
18秒前
小小发布了新的文献求助30
18秒前
不吃香菜完成签到,获得积分10
19秒前
文章快快来完成签到,获得积分10
20秒前
从容成危发布了新的文献求助10
24秒前
kustmustshnu发布了新的文献求助10
25秒前
胡度关注了科研通微信公众号
28秒前
28秒前
waomi完成签到 ,获得积分10
29秒前
32秒前
小马甲应助从容成危采纳,获得30
32秒前
32秒前
zgl完成签到,获得积分10
33秒前
waomi发布了新的文献求助10
34秒前
梁寒发布了新的文献求助10
36秒前
iu发布了新的文献求助10
37秒前
天道酬勤完成签到,获得积分10
38秒前
吕致远完成签到,获得积分10
39秒前
39秒前
40秒前
43秒前
汉堡包应助单纯的柚子采纳,获得10
43秒前
44秒前
打打应助SimonCHEN采纳,获得10
44秒前
辛勤若风完成签到 ,获得积分10
45秒前
罗钦发布了新的文献求助10
45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
Les Mantodea de guyane 2500
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
Driving under the influence: Epidemiology, etiology, prevention, policy, and treatment 500
生活在欺瞒的年代:傅树介政治斗争回忆录 260
Functional Analysis 200
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 5872888
求助须知:如何正确求助?哪些是违规求助? 6492970
关于积分的说明 15670072
捐赠科研通 4990278
什么是DOI,文献DOI怎么找? 2690192
邀请新用户注册赠送积分活动 1632707
关于科研通互助平台的介绍 1590589