[Dataset] Physiochemical characterization of fabricated starch-based nanoscaffolds incorporated with Pocockiella variegata extract-mediated green synthesised copper oxide nanoparticles

This dataset presents a comprehensive physicochemical characterization of starch-based nanoscaffolds integrated with copper oxide nanoparticles (CuO NPs) synthesized via a green approach using Pocockiella variegata algal extract. The study focuses on evaluating the structural, morphological, and functional properties of these nanocomposite scaffolds, which combine biodegradable starch polymers with eco-friendly CuO NPs for potential biomedical applications. Key analytical techniques include scanning (SEM) for assessing nanoscaffold porosity and nanoparticle dispersion, X-ray diffraction (XRD) for crystallinity analysis of CuO NPs, and Fourier-transform infrared spectroscopy (FTIR) to identify chemical interactions between starch matrices and nanoparticles. Additional data on thermal stability (via TGA) are provided to assess scaffold durability. By merging natural polymer scaffolds with green-synthesized nanoparticles, this work highlights sustainable strategies for developing advanced biomaterials. The findings are relevant to tissue engineering, wound dressings, or drug delivery systems, emphasizing eco-friendly alternatives to conventional synthetic nanomaterials. Researchers can leverage this dataset to optimize nanoparticle loading, scaffold architecture, and functional performance for targeted biomedical uses.

本数据集对采用杂色波登藻（Pocockiella variegata）提取物通过绿色合成法制备的、负载氧化铜纳米颗粒（CuO NPs）的淀粉基纳米支架开展了全面的理化表征。本研究聚焦于评估该纳米复合支架的结构、形貌与功能特性——此类支架将可生物降解的淀粉聚合物与环保型CuO NPs相结合，具备潜在生物医学应用价值。核心分析技术包括：利用扫描电子显微镜（SEM）表征纳米支架的孔隙率与纳米颗粒分散性，通过X射线衍射（XRD）分析CuO NPs的结晶度，以及采用傅里叶变换红外光谱（FTIR）识别淀粉基质与纳米颗粒之间的化学相互作用。此外还提供了通过热重分析（TGA）测得的热稳定性数据，用于评估支架的耐用性。本研究将天然聚合物支架与绿色合成纳米颗粒相结合，为先进生物材料的开发指明了可持续化路径。研究结果可应用于组织工程、伤口敷料或药物递送系统领域，旨在为传统合成纳米材料提供环保替代方案。研究人员可借助本数据集，针对特定生物医学应用场景优化纳米颗粒负载量、支架结构与功能性能。