Selection of bionic Co-former improves the dissolution of Neohesperidin via Co-amorphous solid dispersion with Naringin

溶解 无定形固体 溶解度 色散(光学) 化学 分子间力 化学工程 材料科学 结晶学 物理化学 有机化学 分子 光学 物理 工程类
作者
Jun Li,Min Li,hua jiang,Lin Chen,Ning Zhang,Yuan-qi Zhou,Qingxia Guo
出处
期刊:European Journal of Pharmaceutics and Biopharmaceutics [Elsevier]
卷期号:181: 159-172 被引量:5
标识
DOI:10.1016/j.ejpb.2022.11.013
摘要

The co-amorphous solid dispersion (c-ASD) is a useful method to enhance water solubility of poorly soluble drugs. The objective of this study was to improve the dissolution of Neohesperidin (NE) via binary c-ASD which, to the best of our knowledge, has not yet been reported. Since NE and Naringin (NA) co-exist abundantly in Chinese herbal medicine Fructus Aurantii Immaturus, it was hypothesised that NA served as a co-former of NE-NA c-ASD to improve the dissolution profile of NE. Hence, NA was selected to prepare c-ASD with NE at a weight ratio of 4:10, 10:10, 10:4 by lyophilisation. They were characterised according to thermal properties, molecular interactions, dissolution properties and physical stability. We found that the 10:10 ratio was the most potent in enhancing the dissolution behaviour of NE; whereby NE and NA are highly synchronous in pair-wise solvation process. A molecular mixture was achieved through the intermolecular H-bond and pi-pi stacking force formed between NE and NA and was stable for 7 -months. We concluded that the NE-NA co-amorphous binary system is a promising strategy to improve the dissolution behaviour and stabilise the amorphous state of NE. Bionic co-former selection may be an innovative and effective way to accurately determine the appropriate co-former of poorly water soluble substances.

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
jasmine完成签到,获得积分20
1秒前
asdf完成签到,获得积分10
1秒前
10完成签到,获得积分20
1秒前
潇洒飞丹完成签到,获得积分10
1秒前
不易完成签到,获得积分10
1秒前
1秒前
分析法FXF完成签到,获得积分10
2秒前
12发布了新的文献求助30
2秒前
如歌完成签到,获得积分10
2秒前
2秒前
Jealy发布了新的文献求助10
3秒前
3秒前
乐乐应助结实的南瓜采纳,获得30
3秒前
zmnzmnzmn完成签到,获得积分10
3秒前
一只小猫咪呀汪汪完成签到 ,获得积分10
3秒前
bkagyin应助扎心采纳,获得10
3秒前
mengjiu完成签到,获得积分10
3秒前
3秒前
酷酷萃发布了新的文献求助10
3秒前
CYPCYP发布了新的文献求助10
3秒前
萧凡灵完成签到,获得积分10
3秒前
XYM发布了新的文献求助10
3秒前
4秒前
4秒前
4秒前
4秒前
5秒前
5秒前
5秒前
sxb10101应助lianghua采纳,获得20
5秒前
wangqinlei完成签到 ,获得积分10
6秒前
蓝天应助一只否酱采纳,获得10
7秒前
8秒前
8秒前
李健的小迷弟应助xuexue采纳,获得10
8秒前
mengjiu发布了新的文献求助10
8秒前
文艺帽子发布了新的文献求助10
9秒前
星辰大海应助鸢尾绘画采纳,获得10
9秒前
9秒前
Stanford发布了新的文献求助10
9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
Kinesiophobia : a new view of chronic pain behavior 3000
Les Mantodea de guyane 2500
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 2000
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
Clinical Electromyography 500
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 5946216
求助须知:如何正确求助?哪些是违规求助? 7103302
关于积分的说明 15902865
捐赠科研通 5078480
什么是DOI,文献DOI怎么找? 2730875
邀请新用户注册赠送积分活动 1690875
关于科研通互助平台的介绍 1614782