Data · dataset · 2025
[Dataset] Advanced biopolymer scaffolds: Physiochemical features of Chondracanthus exasperatus-functionalized copper oxide-starch nanocomposites
Listed in Teesside University Research Data Repository
This dataset provides a detailed physicochemical evaluation of starch-based biopolymer scaffolds reinforced with copper oxide nanoparticles (CuO NPs) synthesized using Chondracanthus exasperatus, a red macroalga, as a green reducing and stabilizing agent.
Description
UV-visible spectroscopy (UV-Vis) confirms CuO NP formation through characteristic absorption peaks, while Fourier-transform infrared spectroscopy (FT-IR) identifies bioactive algal compounds (e.g., carrageenans, sulfated polysaccharides) involved in nanoparticle synthesis and stabilization, alongside molecular interactions (e.g., hydrogen bonding) between starch matrices and CuO NPs.
X-ray diffraction (XRD) validates the crystalline structure and phase purity of the nanoparticles, and scanning electron microscopy (SEM) reveals the scaffold’s porous architecture, surface morphology, and uniform dispersion of CuO NPs. Thermal gravimetric analysis (TGA) assesses thermal stability, demonstrating enhanced degradation resistance due to nanoparticle reinforcement, while dynamic light scattering (DLS) quantifies hydrodynamic size, polydispersity, and colloidal stability of the NPs, critical for biocompatibility.
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The study highlights how Chondracanthus exasperatus extract enables eco-friendly CuO NP synthesis while improving scaffold functionality, including mechanical durability, thermal resilience, and controlled biodegradation. These nanocomposites exhibit potential for advanced biomedical applications, such as tissue engineering matrices, antimicrobial coatings, or eco-conscious packaging, where sustainability and performance are prioritized.
By integrating algal-mediated green synthesis with advanced analytical techniques, this dataset bridges marine bioresource utilization with material innovation, offering a template for designing low-toxicity, high-efficiency nanohybrid systems. Researchers can leverage these insights to optimize algal extraction protocols, tailor scaffold porosity and crystallinity, and validate eco-friendly strategies for scalable nanomaterial production.
The work underscores the synergy between biopolymer science and green nanotechnology, advancing circular economy principles in the development of next-generation biomaterials.
Links
Where it is published
- DOI doi.org/10.17632/99bn3x4yzb.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science
- Inferred from text
- Microscopy 75%
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/99bn3x4yzb.1 | 14 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:microscopy | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |