On-Demand Drug Delivery Systems Using Nanofibers

纳米纤维 药物输送 纳米技术 材料科学 药品 聚合物 复合材料 药理学 医学
作者
Baljinder Singh,Kibeom Kim,Myoung‐Hwan Park
出处
期刊:Nanomaterials [Multidisciplinary Digital Publishing Institute]
卷期号:11 (12): 3411-3411 被引量:90
标识
DOI:10.3390/nano11123411
摘要

On-demand drug-delivery systems using nanofibers are extensively applicable for customized drug release based on target location and timing to achieve the desired therapeutic effects. A nanofiber formulation is typically created for a certain medication and changing the drug may have a significant impact on the release kinetics from the same delivery system. Nanofibers have several distinguishing features and properties, including the ease with which they may be manufactured, the variety of materials appropriate for processing into fibers, a large surface area, and a complex pore structure. Nanofibers with effective drug-loading capabilities, controllable release, and high stability have gained the interest of researchers owing to their potential applications in on-demand drug delivery systems. Based on their composition and drug-release characteristics, we review the numerous types of nanofibers from the most recent accessible studies. Nanofibers are classified based on their mechanism of drug release, as well as their structure and content. To achieve controlled drug release, a suitable polymer, large surface-to-volume ratio, and high porosity of the nanofiber mesh are necessary. The properties of nanofibers for modified drug release are categorized here as protracted, stimulus-activated, and biphasic. Swellable or degradable polymers are commonly utilized to alter drug release. In addition to the polymer used, the process and ambient conditions can have considerable impacts on the release characteristics of the nanofibers. The formulation of nanofibers is highly complicated and depends on many variables; nevertheless, numerous options are available to accomplish the desired nanofiber drug-release characteristics.

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
刚刚
刚刚
纯粹发布了新的文献求助10
1秒前
狮山教授发布了新的文献求助100
1秒前
bkagyin应助可可咖啡采纳,获得10
1秒前
1秒前
张欢馨应助DQY采纳,获得10
1秒前
3秒前
3秒前
xiaoliu完成签到,获得积分20
3秒前
keke完成签到,获得积分10
3秒前
3秒前
3秒前
科研通AI6.3应助罗杰采纳,获得10
3秒前
4秒前
rui完成签到,获得积分10
4秒前
李hk发布了新的文献求助10
4秒前
n1ko发布了新的文献求助10
4秒前
文静元霜发布了新的文献求助10
5秒前
王木木发布了新的文献求助10
5秒前
5秒前
爆米花应助寒冷的友梅采纳,获得10
5秒前
5秒前
wanci应助seeker347采纳,获得10
5秒前
zuoyueyue发布了新的文献求助10
6秒前
vampv应助欢呼的幻雪采纳,获得10
6秒前
SSSYYY发布了新的文献求助10
7秒前
CC发布了新的文献求助10
7秒前
yoga发布了新的文献求助20
7秒前
杨佳霖发布了新的文献求助10
7秒前
小马甲应助悦耳笑蓝采纳,获得10
7秒前
molihuakai应助ning采纳,获得10
8秒前
8秒前
混沌完成签到,获得积分10
8秒前
8秒前
8秒前
8秒前
8秒前
充电宝应助Galato采纳,获得10
9秒前
开心勒完成签到,获得积分10
9秒前
高分求助中
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Römisch-Germanische Forschungen 500
Electric machines: theory, operating applications, and controls 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
When Is Two-Stage Sample Robust Optimization Asymptotically Optimal? 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 7600963
求助须知:如何正确求助?哪些是违规求助? 9177363
关于积分的说明 19651216
捐赠科研通 7176817
什么是DOI,文献DOI怎么找? 3268806
关于科研通互助平台的介绍 2433104
邀请新用户注册赠送积分活动 2262376