Sustainable fabrication of starch/PVA/CuO electrospun nanoscaffolds from Turbinaria ornata (marine macroalgae) extract: Physicochemical characterization and antidiabetic evaluation
Abstract
This study presents an eco-friendly approach for synthesizing copper oxide nanoparticles (CuO NPs) using Turbinaria ornata marine algae extract and their incorporation into starch/polyvinyl alcohol (PVA) electrospun nanofibers for antidiabetic applications. The biosynthesized CuO NPs were characterized using UV-visible spectroscopy, FTIR (Fourier transform infrared spectroscopy), XRD (X-ray diffraction), SEM (scanning electron microscopy), TGA (thermogravimetric analysis), and DLS (dynamic light scattering), confirming their crystalline monoclinic structure (average size: 92.8 nm) and thermal stability. Electrospun starch/PVA/CuO nanoscaffolds exhibited uniform fiber morphology (150–300 nm diameter) with well-dispersed nanoparticles. In vitro antidiabetic assays revealed that the nanocomposite scaffolds demonstrated superior α-amylase (81.52%) and α-glucosidase (81.52%) inhibition at 100 μg/mL, outperforming both algal extract and bare CuO NPs, suggesting enhanced enzyme inhibition. The green synthesis route, coupled with electrospinning, offers a sustainable strategy for developing nanomaterial-based therapeutics for diabetes management. These findings highlight the potential of marine algae-mediated CuO NPs and biodegradable nanofibers as a biocompatible platform for metabolic disorder interventions. • Green synthesis of CuO nanoparticles using Turbinaria ornata extract • Fabrication of starch/PVA/CuO nanoscaffolds via electrospinning • Uniform nanofibers with well-dispersed, stable CuO nanoparticles • Enhanced α-amylase and α-glucosidase inhibition at 100 μg/mL • Eco-friendly nanoscaffold platform for antidiabetic therapy development
Fields of Study & Subjects
Nanoparticles: synthesis and applications
Graphene and Nanomaterials Applications
Copper-based nanomaterials and applications
Publication details
- Journal / source
- Kuwait Journal of Science
- Publisher
- Elsevier BV
- Volume
- 53
- Issue
- 2
- Pages
- 100545–100545
- Publication date
- 31 January 2026
- Language
- EN