Akademik Veri Yönetim Sistemi
Journal of Solution Chemistry, 2026 (SCI-Expanded, Scopus)
Natural polymers, derived from plant and animal sources, are increasingly preferred in biomedical applications due to their superior biocompatibility compared to synthetic alternatives. In this study, polyurethane–polybutylene succinate (PU–PBS) and polyurethane–polybutylene succinate-co-adipate (PU–PBSA) blend nanofibers were fabricated via electrospinning. The effects of system and process parameters on fiber diameter and morphology were examined using SEM images. FTIR analysis was conducted for structural characterization, while TGA–DSC was employed to assess thermal stability. The effects of solution properties such as concentration, viscosity, surface tension, electrical conductivity, and contact angle on nanofiber diameter were investigated. It was observed that increasing solution concentration and flow rate led to larger fiber diameters, whereas increasing the distance between the nozzle and collector reduced the fiber diameter. The addition of PBS into the PU matrix reduced bead formation and resulted in more homogeneous nanofibers, while PBSA influenced fiber morphology distinctively. The release of doxorubicine an anticancer drug, was evaluated from the nanofibers at two compositions (3 mg and 6 mg) and two pH values (4.5 and 7.5). Maximum drug release was observed from PU–PBSA nanofibers loaded with 3 mg doxorubicine at pH 7.5. No disruption in fiber geometry was observed upon drug incorporation. Lastly, enzymatic degradation of PU–PBS nanofibers was examined using lipase. After 30 h, pure PU fibers showed no mass loss, while PBS and PBSA nanofibers exhibited complete degradation. The PU–PBS and PU–PBSA blends demonstrated 75% and 83% mass loss, respectively. Structural, thermal, and enzymatic analyses confirmed the compatibility of blended nanofibers, with PU–PBS and PU–PBSA showing notable enzymatic degradability compared to pure PU, thereby underlining their promise as functional, enzymatically degradable carriers for biomedical applications.