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!

Mathematical modeling of drug delivery

计算机科学 药物输送 生化工程 风险分析(工程) 管理科学 数学模型 领域(数学) 纳米技术 医学 工程类 数学 统计 材料科学 纯数学
作者
Juergen Siepmann,F. Siepmann
出处
期刊:International Journal of Pharmaceutics [Elsevier]
卷期号:364 (2): 328-343 被引量:1257
标识
DOI:10.1016/j.ijpharm.2008.09.004
摘要

Due to the significant advances in information technology mathematical modeling of drug delivery is a field of steadily increasing academic and industrial importance with an enormous future potential. The in silico optimization of novel drug delivery systems can be expected to significantly increase in accuracy and easiness of application. Analogous to other scientific disciplines, computer simulations are likely to become an integral part of future research and development in pharmaceutical technology. Mathematical programs can be expected to be routinely used to help optimizing the design of novel dosage forms. Good estimates for the required composition, geometry, dimensions and preparation procedure of various types of delivery systems will be available, taking into account the desired administration route, drug dose and release profile. Thus, the number of required experimental studies during product development can be significantly reduced, saving time and reducing costs. In addition, the quantitative analysis of the physical, chemical and potentially biological phenomena, which are involved in the control of drug release, offers another fundamental advantage: The underlying drug release mechanisms can be elucidated, which is not only of academic interest, but a pre-requisite for an efficient improvement of the safety of the pharmaco-treatments and for effective trouble-shooting during production. This article gives an overview on the current state of the art of mathematical modeling of drug delivery, including empirical/semi-empirical and mechanistic realistic models. Analytical as well as numerical solutions are described and various practical examples are given. One of the major challenges to be addressed in the future is the combination of mechanistic theories describing drug release out of the delivery systems with mathematical models quantifying the subsequent drug transport within the human body in a realistic way. Ideally, the effects of the design parameters of the dosage form on the resulting drug concentration time profiles at the site of action and the pharmacodynamic effects will become predictable.
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
berkelerey12138完成签到,获得积分10
3秒前
5秒前
科研通AI2S应助你姜子采纳,获得10
6秒前
Zoumiga完成签到,获得积分20
9秒前
9秒前
13秒前
13秒前
璐璐姐最牛逼完成签到,获得积分10
16秒前
朴实剑通发布了新的文献求助10
16秒前
木有完成签到 ,获得积分10
22秒前
负责的元柏完成签到,获得积分10
23秒前
28秒前
CodeCraft应助dj采纳,获得20
29秒前
gentalguy发布了新的文献求助10
33秒前
思源应助白奕采纳,获得10
35秒前
叶克思完成签到 ,获得积分10
39秒前
martin完成签到 ,获得积分10
40秒前
43秒前
黎明深雪完成签到 ,获得积分10
43秒前
YAKI关注了科研通微信公众号
44秒前
yuanyuan发布了新的文献求助10
47秒前
orixero应助youyou采纳,获得10
47秒前
Owen应助朱摩玑采纳,获得10
47秒前
57秒前
dj完成签到,获得积分10
59秒前
syalonyui完成签到,获得积分10
1分钟前
YAKI发布了新的文献求助10
1分钟前
1分钟前
充电宝应助余闻问采纳,获得10
1分钟前
ooo完成签到 ,获得积分10
1分钟前
Criminology34应助科研通管家采纳,获得10
1分钟前
科研通AI6应助科研通管家采纳,获得10
1分钟前
Orange应助科研通管家采纳,获得10
1分钟前
ceeray23应助科研通管家采纳,获得10
1分钟前
瀛瀛完成签到 ,获得积分0
1分钟前
wtl发布了新的文献求助10
1分钟前
1分钟前
yanghao完成签到,获得积分10
1分钟前
基金中中中完成签到,获得积分10
1分钟前
1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
Mechanics of Solids with Applications to Thin Bodies 5000
Encyclopedia of Agriculture and Food Systems Third Edition 2000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 临床微生物学程序手册,多卷,第5版 2000
人脑智能与人工智能 1000
King Tyrant 720
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
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 5599649
求助须知:如何正确求助?哪些是违规求助? 4685351
关于积分的说明 14838420
捐赠科研通 4669743
什么是DOI,文献DOI怎么找? 2538130
邀请新用户注册赠送积分活动 1505503
关于科研通互助平台的介绍 1470898