Issue 37, 2024, Issue in Progress

Drug release system based on a composite polycaprolactone nanofiber membrane with dual functionality of shape memory effect and antibacterial ability

Abstract

In this study, a multifunctional composite membrane based on polycaprolactone nanofibers having controlled drug release, shape memory effect, and antibacterial ability was successfully prepared by the electrospinning technique. The addition of graphene oxide (GO), zinc oxide nanoparticles (ZnO NPs), polyethylene glycol (PEG), and berberine (BBR) strongly affected the morphology, crystalline degree, melting temperature, and shape memory performance of the composite membrane, thanks to the physical crosslinking network formed by the hydrogen bonding or van der Waals interactions between the components. As a result, the recovery ratio of the composite membrane reached a higher value (76.3% ± 0.7%) than that of the PCL fiber membrane (22.8% ± 0.7%). The additional components significantly improved the wettability of the composite membrane, leading to a high amount of BBR released (42.7 wt%) during 40 hours, as well as effective antibacterial ability. Besides, the BBR release can be feasibly controlled by modulating the deformation ratio of the composite membrane, whereby the higher deformation ratio resulted in a higher BBR release. Therefore, it is suggested that the prepared composite nanofiber membrane is a potential smart material used in biomedical applications, such as wound dressing and drug release systems.

Graphical abstract: Drug release system based on a composite polycaprolactone nanofiber membrane with dual functionality of shape memory effect and antibacterial ability

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Article information

Article type
Paper
Submitted
02 Aug 2024
Accepted
12 Aug 2024
First published
27 Aug 2024
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2024,14, 26884-26895

Drug release system based on a composite polycaprolactone nanofiber membrane with dual functionality of shape memory effect and antibacterial ability

L. T. Le, H. T. Nguyen, H. T. T. Bui, H. Q. Tran and T. T. T. Nguyen, RSC Adv., 2024, 14, 26884 DOI: 10.1039/D4RA05618C

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