OPTIMIZATION FORMULATION OF INSULIN-LOADED POLY-CAPROLACTONE NANOPARTICLES FOR CHRONIC WOUND HEALING USING BOX-BEHNKEN DESIGN

Objective: The aim of this study is to optimize the formulation of insulin-loaded poly-caprolactone nanoparticles (INS-PCL-NP) for use in chronic wound healing using Box-Behnken experimental design. Material and Method: The response of independent variables (poly-caprolactone concentration, polyvinyl alcohol concentration and sonication time) on dependent variables (particle size, PDI and encapsulation efficiency) were evaluated. Nanoparticle formulations were produced by the double emulsion (w/o/w)-solvent evaporation method. The resulting formulations were characterized in terms of particle size, zeta potential, and encapsulation efficiency to determine the optimum formulation. Further analyses, including morphological analyses, Fourier-transform infrared spectroscopy (FTIR), differential scanning calorimetry (DSC), and in vitro drug release studies were conducted on the optimized formulation. Result and Discussion: According to the results of the characterization studies, it was observed that the optimized nanoparticles had a particle size of 618.5±11.2 nm, a PDI of 0.194±0.021, a zeta potential of -8.21±1.1 mV and an encapsulation efficiency of 73.1±4.2%. In morphological analysis, it was observed that the nanoparticles had a spherical structure. The optimized nanoparticle formulation showed a rapid release of 49.1±2.1% within the first 24 hours, followed by a controlled release for 168 hours.

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Journal
Ankara Universitesi Eczacilik Fakultesi Dergisi
Published
2025-09-02
DOI
https://doi.org/10.33483/jfpau.1651886
Primary Topic
Advanced Drug Delivery Systems
Type
article
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article

OPTIMIZATION FORMULATION OF INSULIN-LOADED POLY-CAPROLACTONE NANOPARTICLES FOR CHRONIC WOUND HEALING USING BOX-BEHNKEN DESIGN

Füsun Acartürk, Fatmanur Tuğcu-Demiröz, Tamer Tekin, Ayşegül Yıldız
3 links
Ankara Universitesi Eczacilik Fakultesi Dergisi
Advanced Drug Delivery Systems
article

OPTIMIZATION FORMULATION OF INSULIN-LOADED POLY-CAPROLACTONE NANOPARTICLES FOR CHRONIC WOUND HEALING USING BOX-BEHNKEN DESIGN

Füsun Acartürk, Fatmanur Tuğcu-Demiröz, Tamer Tekin, Ayşegül Yıldız
article en

Abstract

Objective: The aim of this study is to optimize the formulation of insulin-loaded poly-caprolactone nanoparticles (INS-PCL-NP) for use in chronic wound healing using Box-Behnken experimental design. Material and Method: The response of independent variables (poly-caprolactone concentration, polyvinyl alcohol concentration and sonication time) on dependent variables (particle size, PDI and encapsulation efficiency) were evaluated. Nanoparticle formulations were produced by the double emulsion (w/o/w)-solvent evaporation method. The resulting formulations were characterized in terms of particle size, zeta potential, and encapsulation efficiency to determine the optimum formulation. Further analyses, including morphological analyses, Fourier-transform infrared spectroscopy (FTIR), differential scanning calorimetry (DSC), and in vitro drug release studies were conducted on the optimized formulation. Result and Discussion: According to the results of the characterization studies, it was observed that the optimized nanoparticles had a particle size of 618.5±11.2 nm, a PDI of 0.194±0.021, a zeta potential of -8.21±1.1 mV and an encapsulation efficiency of 73.1±4.2%. In morphological analysis, it was observed that the nanoparticles had a spherical structure. The optimized nanoparticle formulation showed a rapid release of 49.1±2.1% within the first 24 hours, followed by a controlled release for 168 hours.

Ankara Universitesi Eczacilik Fakultesi DergisiVol. 49(3)
Selçuk University (TR), Gazi Hastanesi (TR), Gazi University (TR)
Gazi Üniversitesi
Openalex Percentile: Top 82%
Advanced Drug Delivery Systems
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OPTIMIZATION FORMULATION OF INSULIN-LOADED POLY-CAPROLACTONE NANOPARTICLES FOR CHRONIC WOUND HEALING USING BOX-BEHNKEN DESIGN — Füsun Acartürk, Fatmanur Tuğcu-Demiröz, et al. · Ankara Universitesi Eczacilik Fakultesi Dergisi (2025) | TGRS Research Map | TGRS