Melt Electro-Writing for Wound Repair and Drug Delivery with Lipid Medium
This study investigates the drug delivery capabilities of patches using methodologies aligned with European Pharmacopoeia guidelines. The patches were developed using melt electro-writing, focusing on the influence of parameters such as flow rate, voltage, temperature, and fibre directionality. Two base designs, a square (BOX) and a hexagonal (HEX) structure, were created and printed with varying extrusion factors and conditions, resulting in 18 different samples. The transfer of dye, used to simulate a pharmaceutical compound, from lipid-coated patches to Milli-Q water was monitored via UV-VIS spectroscopy using a nanodrop fluorometer. Patches were submerged in Milli-Q water and incubated at 37◦C, with samples taken at regular intervals to measure absorption and infer dye concentration. The analysis revealed that linear structures have a higher loading capacity than chaotic counterparts due to greater free volume. Comparative studies between HEX and BOX structures indicated that HEX patches exhibited higher release rates with their larger contact surface area. While foam structures produced using a process closer to melt electro-spinning have a faster initial delivery, linear structures surpass them in overall final delivery due to their superior loading capacity. Further, structures manufactured at higher extrusion showed higher initial release rates and final dye concentrations, highlighting the impact of manufacturing conditions on drug delivery performance. Characterisation included evaluating filament diameter, mass consistency, and pore analysis, showing uniformity and differences based on structural design and printing conditions. This study underscores the significance of structural design and manufacturing conditions in optimising drug delivery systems. The integration of 3D printing technology has facilitated the production of highly customised medical patches, enhancing the adaptability and responsiveness of healthcare solutions, and providing valuable insights for advancing personalised medicine and on-demand medical device production.
Report_Semester_Project_Oliviero.pdf
Main Document
Submitted version (Preprint)
restricted
N/A
14.48 MB
Adobe PDF
c6c7a34ea25d6d3933b853ad15aa6c73