Oral delivery of posaconazole-loaded phospholipid-based nanoformulation: Preparation and optimization using design of experiments, machine learning, and TOPSIS

磷脂 化学 药代动力学 药物输送 脂质体 药理学 口服 药品 色谱法 医学 生物化学 有机化学
作者
Fereshteh Bayat,Simin Dadashzadeh,Reza Aboofazeli,Maryam Torshabi,Ali Hashemi Baghi,Zahra Tamiji,Azadeh Haeri
出处
期刊:International Journal of Pharmaceutics [Elsevier BV]
卷期号:653: 123879-123879 被引量:3
标识
DOI:10.1016/j.ijpharm.2024.123879
摘要

Phospholipid-based nanosystems show promising potentials for oral administration of hydrophobic drugs. The study introduced a novel approach to optimize posaconazole-loaded phospholipid-based nanoformulation using the design of experiments, machine learning, and Technique for Order of Preference by Similarity to the Ideal Solution. These approaches were used to investigate the impact of various variables on the encapsulation efficiency (EE), particle size, and polydispersity index (PDI). The optimized formulation, with %EE of ∼ 74 %, demonstrated a particle size and PDI of 107.7 nm and 0.174, respectively. The oral pharmacokinetic profiles of the posaconazole suspension, empty nanoformulation + drug suspension, and drug-loaded nanoformulation were evaluated. The nanoformulation significantly increased maximum plasma concentration and the area under the drug plasma concentration–time curve (∼3.9- and 6.2-fold, respectively) and could be administered without regard to meals. MTT and histopathological examinations were carried out to evaluate the safety of the nanoformulation and results exhibited no significant toxicity. Lymphatic transport was found to be the main mechanism of oral delivery. Caco-2 cell studies demonstrated that the mechanism of delivery was not based on an increase in cellular uptake. Our study represents a promising strategy for the development of phospholipid-based nanoformulations as efficient and safe oral delivery systems.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
HHHHJ发布了新的文献求助10
刚刚
止血钳发布了新的文献求助30
1秒前
1秒前
论文通过完成签到,获得积分10
1秒前
科研通AI6应助时祺采纳,获得10
1秒前
2秒前
we发布了新的文献求助10
3秒前
字母哥发布了新的文献求助10
5秒前
6秒前
会飞的猪完成签到,获得积分10
6秒前
卫归尘完成签到,获得积分10
6秒前
last123发布了新的文献求助10
6秒前
明越完成签到,获得积分10
7秒前
真好发布了新的文献求助10
7秒前
背后的飞飞完成签到,获得积分10
8秒前
蔺小轩完成签到,获得积分10
8秒前
Owen应助Ganfei采纳,获得10
8秒前
8秒前
量子星尘发布了新的文献求助20
9秒前
Shinichi发布了新的文献求助10
9秒前
9秒前
10秒前
10秒前
elf发布了新的文献求助30
11秒前
dandandan完成签到 ,获得积分10
11秒前
SciGPT应助1Yueee采纳,获得10
12秒前
真好完成签到,获得积分10
12秒前
钫人完成签到,获得积分10
12秒前
隐形曼青应助Ningxin采纳,获得10
12秒前
华仔应助qiushui采纳,获得10
13秒前
13秒前
深情安青应助KYG科研采纳,获得10
13秒前
XXX完成签到,获得积分10
14秒前
上官若男应助小芦铃采纳,获得10
15秒前
16秒前
zz发布了新的文献求助10
17秒前
17秒前
懒洋洋大王完成签到,获得积分20
18秒前
怡然芷蝶完成签到,获得积分10
19秒前
19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
Zeolites: From Fundamentals to Emerging Applications 1500
Encyclopedia of Materials: Plastics and Polymers 1000
Architectural Corrosion and Critical Infrastructure 1000
Early Devonian echinoderms from Victoria (Rhombifera, Blastoidea and Ophiocistioidea) 1000
Hidden Generalizations Phonological Opacity in Optimality Theory 1000
Handbook of Social and Emotional Learning, Second Edition 900
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 4920881
求助须知:如何正确求助?哪些是违规求助? 4192265
关于积分的说明 13020962
捐赠科研通 3963415
什么是DOI,文献DOI怎么找? 2172449
邀请新用户注册赠送积分活动 1190294
关于科研通互助平台的介绍 1099258