研究目的
Investigating the therapeutic effects of a graphene oxide/poly(caprolactone) patch on wound healing through on-demand release of anti-inflammatory and antibiotic drugs and promotion of fibroblast adhesion and proliferation.
研究成果
The GO–PCL patch demonstrated high drug loading capacity, on-demand drug release in response to NIR-light stimuli, and promotion of fibroblast adhesion and proliferation. These properties make it a promising candidate for the treatment of wounds requiring prolonged anti-inflammatory and antibiotic therapy.
研究不足
The study primarily focuses on in vitro evaluation of the GO–PCL patch's drug release and cell adhesion properties. Further in vivo studies are needed to fully assess its efficacy and safety for wound healing applications.
1:Experimental Design and Method Selection:
The study involved the design of an implantable patch consisting of poly(caprolactone) electrospun covered with graphene oxide (GO–PCL) for on-demand drug release and wound healing promotion. The methodology included the use of low-vacuum nitrogen plasma activation for surface functionalization and GO covalent deposition.
2:Sample Selection and Data Sources:
Human dermal fibroblast cells (HDFa) were used to evaluate cell adhesion and proliferation on the patches. Drug loading and release studies were conducted using ibuprofen, ketoprofen, and vancomycin as model drugs.
3:List of Experimental Equipment and Materials:
Equipment included a low pressure plasma reactor, scanning electron microscope, Fourier transform infrared spectrometer, X-ray photoelectron spectrometer, and Franz cells for drug release studies. Materials included poly(caprolactone), graphene oxide nanosheets, and various drugs.
4:Experimental Procedures and Operational Workflow:
The PCL patches were treated with low-vacuum nitrogen plasma to activate the surface with amine functions, followed by GO covalent functionalization. Drug loading was achieved by immersion in drug solutions, and drug release was triggered by NIR-light stimuli.
5:Data Analysis Methods:
The amount of drug released was quantified spectrophotometrically using calibration curves. Cell viability was assessed using MTS assay, and statistical analysis was performed using Siegel–Tukey test.
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