Literature DB >> 28526437

A fiber distribution model for predicting drug release rates.

D G Petlin1, A A Amarah2, S I Tverdokhlebov3, Y G Anissimov4.   

Abstract

Sustained drug release can be achieved by loading a drug into polymer material. The drug release can then be controlled for potential use in various biomedical applications. A model for drug release from a polymeric fibrous scaffold, which takes into account the distribution of fiber diameters within its structure, is developed here. It is demonstrated that the fiber diameter distribution significantly affects the drug release profile from electrospun scaffolds. The developed model indicates that altering the fiber distribution can be used as an additional tool to achieve an appropriate drug release profile. Using published data, it was demonstrated that an application of the model allows a more precise calculation of the drug diffusion coefficient within the polymer, which is important for predicting drug release rates from fabricated materials.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Controlled drug release; Diffusion; Drug release; Electrospinning; Mathematical modeling; Nanofiber

Mesh:

Substances:

Year:  2017        PMID: 28526437     DOI: 10.1016/j.jconrel.2017.05.021

Source DB:  PubMed          Journal:  J Control Release        ISSN: 0168-3659            Impact factor:   9.776


  2 in total

1.  Preparation and modeling of three-layered PCL/PLGA/PCL fibrous scaffolds for prolonged drug release.

Authors:  Miljan Milosevic; Dusica B Stojanovic; Vladimir Simic; Mirjana Grkovic; Milos Bjelovic; Petar S Uskokovic; Milos Kojic
Journal:  Sci Rep       Date:  2020-07-07       Impact factor: 4.379

2.  Reactive Magnetron Plasma Modification of Electrospun PLLA Scaffolds with Incorporated Chloramphenicol for Controlled Drug Release.

Authors:  Apollinariya A Volokhova; Dmitry A Fedorishin; Arina O Khvastunova; Tatiana I Spiridonova; Anna I Kozelskaya; Julia Kzhyshkowska; Sergei I Tverdokhlebov; Irina Kurzina
Journal:  Polymers (Basel)       Date:  2022-01-18       Impact factor: 4.329

  2 in total

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