已入深夜,您辛苦了!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!祝你早点完成任务,早点休息,好梦!

Preparing Size-Controlled Liposomes Modified with Polysaccharide Derivatives for pH-Responsive Drug Delivery Applications

作者
Shin Yanagihara,Yukiya Kitayama,Eiji Yuba,Atsushi Harada
出处
期刊:Life [Multidisciplinary Digital Publishing Institute]
卷期号:13 (11): 2158-2158 被引量:17
标识
DOI:10.3390/life13112158
摘要

The liposome particle size is an important parameter because it strongly affects content release from liposomes as a result of different bilayer curvatures and lipid packing. Earlier, we developed pH-responsive polysaccharide-derivative-modified liposomes that induced content release from the liposomes under weakly acidic conditions. However, the liposome used in previous studies size was adjusted to 100-200 nm. The liposome size effects on their pH-responsive properties were unclear. For this study, we controlled the polysaccharide-derivative-modified liposome size by extrusion through polycarbonate membranes having different pore sizes. The obtained liposomes exhibited different average diameters, in which the diameters mostly corresponded to the pore sizes of polycarbonate membranes used for extrusion. The amounts of polysaccharide derivatives per lipid were identical irrespective of the liposome size. Introduction of cholesterol within the liposomal lipid components suppressed the size increase in these liposomes for at least three weeks. These liposomes were stable at neutral pH, whereas the content release from liposomes was induced at weakly acidic pH. Smaller liposomes exhibited highly acidic pH-responsive content release compared with those from large liposomes. However, liposomes with 50 mol% cholesterol were not able to induce content release even under acidic conditions. These results suggest that control of the liposome size and cholesterol content is important for preparing stable liposomes at physiological conditions and for preparing highly pH-responsive liposomes for drug delivery applications.

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
所所应助YYY采纳,获得10
刚刚
dingly发布了新的文献求助10
1秒前
2秒前
6秒前
小涛子发布了新的文献求助10
6秒前
8秒前
哒哒哒发布了新的文献求助30
9秒前
15秒前
归尘发布了新的文献求助10
15秒前
15秒前
15秒前
螺号发布了新的文献求助10
18秒前
夕沫发布了新的文献求助10
19秒前
归尘发布了新的文献求助10
19秒前
19秒前
光亮如容完成签到,获得积分10
21秒前
21秒前
fengyun1990完成签到,获得积分10
23秒前
26秒前
我是老大应助mi采纳,获得30
26秒前
王津丹发布了新的文献求助10
26秒前
哭泣的成协完成签到,获得积分10
27秒前
吴大王发布了新的文献求助10
30秒前
30秒前
ShuBeno发布了新的文献求助10
32秒前
我我轻轻完成签到 ,获得积分10
37秒前
39秒前
40秒前
风趣青筠完成签到,获得积分10
42秒前
田様应助科研通管家采纳,获得10
43秒前
FashionBoy应助科研通管家采纳,获得10
43秒前
情怀应助科研通管家采纳,获得10
43秒前
43秒前
紫儿啊完成签到,获得积分10
44秒前
46秒前
冰凝小荔枝完成签到,获得积分20
46秒前
47秒前
48秒前
Prospect发布了新的文献求助10
50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
The anomeric effect 1000
Principles of town planning: translating concepts to applications 1000
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 7732343
求助须知:如何正确求助?哪些是违规求助? 9283099
关于积分的说明 20156161
捐赠科研通 7309677
什么是DOI,文献DOI怎么找? 3304041
关于科研通互助平台的介绍 2456749
邀请新用户注册赠送积分活动 2313096