Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! By
Predictive Modeling of Phenolic Compound Release From Nanofibers of Electrospun Networks for Application in Periodontal Disease Publisher



Hosseinzadeh S1 ; Esnaashari S1 ; Sadeghpour O2 ; Hamedi S3
Authors

Source: Journal of Polymer Engineering Published:2016


Abstract

Buccal drug delivery faces hurdles due to a lack of therapeutic efficiency resulting from saliva wash out. To meet this challenge, impregnated nanofibers with pharmaceutical agents could shorten total release duration as a result of higher surface area. Moreover, the electrospinning technique successfully functions in the field of nanofiber fabrication. Hence, in this study, composite nonwoven mesh containing Ziziphus jujuba extract was prepared by electrospinning, and release profile was studied in artificial saliva. The polymers used included chitosan and polyethylene oxide (PEO), which provided the desirable hydrophilicity that is essential for mucoadhesivity. Furthermore, the phenolic compound extracted from a plant namely Z. jujuba was used due to its oral healing effect. Morphology and chemical state of the composite film were also investigated through scanning electron microscopy (SEM) and Fourier-transform infrared (FTIR) spectroscopy, respectively. Kinetic release of chitosan-PEO/phenolic compound nanofibers demonstrates a profile of Fickian diffusion dependency that delivered total phenolic ingredients in <75 min. The swelling behavior of composite type confirms Fickian diffusion and anomalous transport as a result of hydrophilic property of produced network and erosion mechanism on release phenomena, respectively. Results showed that impregnated electrospun patches of nanofibers can be promising for developing oral local drug delivery. © 2016 by De Gruyter.
Other Related Docs
5. Fabrication and In-Vitro Evaluation of Buccal Mucoadhesive Tablet of Meloxicam, Iranian Journal of Pharmaceutical Research (2020)