Literature DB >> 18822362

Mathematical modeling of drug delivery.

J Siepmann1, F Siepmann.   

Abstract

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.

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Year:  2008        PMID: 18822362     DOI: 10.1016/j.ijpharm.2008.09.004

Source DB:  PubMed          Journal:  Int J Pharm        ISSN: 0378-5173            Impact factor:   5.875


  108 in total

1.  DDSolver: an add-in program for modeling and comparison of drug dissolution profiles.

Authors:  Yong Zhang; Meirong Huo; Jianping Zhou; Aifeng Zou; Weize Li; Chengli Yao; Shaofei Xie
Journal:  AAPS J       Date:  2010-04-06       Impact factor: 4.009

2.  Liposome-Cross-Linked Hybrid Hydrogels for Glutathione-Triggered Delivery of Multiple Cargo Molecules.

Authors:  Yingkai Liang; Kristi L Kiick
Journal:  Biomacromolecules       Date:  2016-01-25       Impact factor: 6.988

Review 3.  Degradable Controlled-Release Polymers and Polymeric Nanoparticles: Mechanisms of Controlling Drug Release.

Authors:  Nazila Kamaly; Basit Yameen; Jun Wu; Omid C Farokhzad
Journal:  Chem Rev       Date:  2016-02-08       Impact factor: 60.622

Review 4.  Drug release kinetics and transport mechanisms of non-degradable and degradable polymeric delivery systems.

Authors:  Yao Fu; Weiyuan John Kao
Journal:  Expert Opin Drug Deliv       Date:  2010-04       Impact factor: 6.648

5.  Dually degradable click hydrogels for controlled degradation and protein release.

Authors:  Prathamesh M Kharkar; April M Kloxin; Kristi L Kiick
Journal:  J Mater Chem B       Date:  2014       Impact factor: 6.331

6.  The role of oral controlled release matrix tablets in drug delivery systems.

Authors:  Ali Nokhodchi; Shaista Raja; Pryia Patel; Kofi Asare-Addo
Journal:  Bioimpacts       Date:  2012-11-04

7.  Promoted Antitumor Activity of Myricetin against Lung Carcinoma Via Nanoencapsulated Phospholipid Complex in Respirable Microparticles.

Authors:  Noha Nafee; Dina M Gaber; Ahmed O Elzoghby; Maged W Helmy; Osama Y Abdallah
Journal:  Pharm Res       Date:  2020-04-14       Impact factor: 4.200

8.  In vitro evaluation of the inhalable quercetin loaded nanoemulsion for pulmonary delivery.

Authors:  Noor Hafizah Arbain; Norazlinaliza Salim; Hamid Reza Fard Masoumi; Tin Wui Wong; Mahiran Basri; Mohd Basyaruddin Abdul Rahman
Journal:  Drug Deliv Transl Res       Date:  2019-04       Impact factor: 4.617

Review 9.  Lipid-associated oral delivery: Mechanisms and analysis of oral absorption enhancement.

Authors:  Oljora Rezhdo; Lauren Speciner; Rebecca Carrier
Journal:  J Control Release       Date:  2016-08-09       Impact factor: 9.776

10.  Rational design of multistage drug delivery vehicles for pulmonary RNA interference therapy.

Authors:  A Sofia Silva; Kevin E Shopsowitz; Santiago Correa; Stephen W Morton; Erik C Dreaden; Teresa Casimiro; Ana Aguiar-Ricardo; Paula T Hammond
Journal:  Int J Pharm       Date:  2020-10-26       Impact factor: 5.875

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