亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Drug delivery vehicles with improved encapsulation efficiency: taking advantage of specific drug–carrier interactions

封装(网络) 药品 纳米技术 药物输送 材料科学 计算机科学 生化工程 药理学 医学 工程类 计算机网络
作者
Katarzyna Kita‐Tokarczyk,Christian Dittrich
出处
期刊:Expert Opinion on Drug Delivery [Taylor & Francis]
卷期号:8 (3): 329-342 被引量:104
标识
DOI:10.1517/17425247.2011.553216
摘要

INTRODUCTION: Drug encapsulation strategies are vital for the delivery of poorly soluble, fragile or toxic compounds. Increasing a drug's encapsulation efficiency in drug carrier particles can achieve a stronger therapeutic effect along with minimized side effects. For these reasons, new encapsulation methods are developed by using new materials and various types of drug-carrier interaction. AREAS COVERED: Strategies used for drug encapsulation are discussed in this review, focusing particularly on approaches leading to high encapsulation ratios resulting from specific interactions between the drug and the carrier. In the first part, classical encapsulation by hydrophobic self-assembly, its limitations and improvements are briefly discussed. Following this, encapsulation strategies for specific drugs are reviewed, where particular kinds of interaction play a role between the drug and the encapsulating material, which can lead to dramatically increased entrapment. Such specific approaches can be utilized more generically for various classes of molecules with similar properties, with regard to their ability to participate in a given kind of interaction. EXPERT OPINION: With the focus on delivering a high drug dose precisely to the site of action, high encapsulation efficiency is the first thing to consider in drug development. Academic research shows considerable interest in specific encapsulation, and it seems to be an established trend now to design drug delivery particles to achieve the most favorable properties. The authors believe the research in this area will focus on material properties and interactions between the drug and the carrier to ensure high drug loading into particles.
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
心灵美晓完成签到,获得积分10
12秒前
Dr_Zhan完成签到 ,获得积分10
13秒前
图图完成签到,获得积分10
14秒前
pathway完成签到,获得积分0
19秒前
成就书雪完成签到,获得积分10
21秒前
27秒前
wenrounan完成签到,获得积分10
30秒前
威武的成协完成签到,获得积分10
31秒前
32秒前
洁净方盒完成签到,获得积分10
32秒前
超帅蛋挞完成签到 ,获得积分10
33秒前
34秒前
Ava应助盒盒怪采纳,获得10
35秒前
深情安青应助盒盒怪采纳,获得10
35秒前
李健的小迷弟应助盒盒怪采纳,获得10
35秒前
SciGPT应助盒盒怪采纳,获得10
35秒前
小马甲应助盒盒怪采纳,获得10
35秒前
咖啡豆发布了新的文献求助30
35秒前
NexusExplorer应助盒盒怪采纳,获得10
36秒前
洁净方盒发布了新的文献求助10
36秒前
啦啦啦发布了新的文献求助10
37秒前
单薄的飞风完成签到,获得积分10
41秒前
啦啦啦完成签到,获得积分20
48秒前
科研通AI6.2应助咖啡豆采纳,获得10
55秒前
1分钟前
沉默岩完成签到,获得积分10
1分钟前
For-t-发布了新的文献求助10
1分钟前
1分钟前
1分钟前
orixero应助科研通管家采纳,获得10
1分钟前
1分钟前
合适雨完成签到,获得积分10
1分钟前
1分钟前
1分钟前
1分钟前
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
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
Principles of town planning: translating concepts to applications 1000
内視鏡的に摘除しえた十二指腸乳頭部腫瘍の2例 660
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Positive Obsession: The Life and Times of Octavia E. Butler 500
Interpolation and Regression Models for the Chemical Engineer: Solving Numerical Problems 400
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 7687712
求助须知:如何正确求助?哪些是违规求助? 9250628
关于积分的说明 19963762
捐赠科研通 7260694
什么是DOI,文献DOI怎么找? 3289886
关于科研通互助平台的介绍 2446816
邀请新用户注册赠送积分活动 2294570