![]() For instance, magnetic wood with anisotropy can be prepared via co-precipitation of ferric and ferrous ions, and the layered nanosize particles can attach firmly to the inner wood cell wall surface. Due to the inherent hierarchical and anisotropic structure of wood, NP growth within the wood structure is likely to form a 3D order that presents facetted shapes. Hybrid wood materials exhibit extraordinary performance in thermal stability, ultraviolet resistance, and antibacterial properties. Our previous study indicated that wood can be used as the template for assembled ZnO nanostructures. used wood structure as a mechanically stable scaffold for stimuli responsive gels. 1, wood possesses a porous structure from nanoscale to microscale, which provides accessibility to introduce functional materials. Wood can be considered a natural template due to its sophisticated structure. This layer may consist of polymers, organic ligands, carbon and graphene, or inert metal however, these strategies require complex processes and/or special equipment. Other reports have presented various approaches that attempt to address the oxidation problem such methods are generally based on minimizing exposure of the Cu NPs to oxygen through a protective layer at the particle surface. To avoid this problem, an inert environment (e.g., nitrogen or argon) is used. Īnother issue in utilizing these Cu NPs is their inherent propensity for surface oxidation in air and resultant aggregation. Nevertheless, the template consumption in the preparation process is costly, and the procedure is tedious. However, it is common to find nanoparticle molecules with spherical shapes controlled NPs synthesis with other distinct surface morphologies can be accomplished using some unique organic/inorganic templates. Among these, the solution reduction approach is a feasible and exceptionally versatile method for the preparation of Cu NPs. Therefore, various attempts have been proposed to synthesize NPs with a controlled shape and a specific size distribution, such as solution reduction, thermal decomposition, metal vapor synthesis, radiation methods, microemulsion techniques, mechanical attrition, and electrodeposition. To fully utilize these properties, the size, purity, and shapes of copper must be well controlled. Moreover, Cu-based NPs are gaining importance thanks to their catalytic, optical, antibacterial, and electrical conducting properties. Because copper is much cheaper and more abundant, copper nanoparticles (Cu NPs) may be considered a replacement for silver and gold NPs. However, the high cost of silver and gold limits their wide industrial application. Silver and gold have attracted particularly great interest given their unique plasmon resonance and high stability. Metal nanoparticles have garnered wide attention in the scientific community thanks to their exceptional physical and chemical properties. This combination of Cu nanostructures and wood exhibited remarkable optical and antibacterial properties. Due to the restrictions inherent in wood structure, the derived Cu nanoparticles showed similar grain size in spite of increased Cu 2+ concentration. With an increase in OH − concentration, Cu 2O gradually decreased and Cu remained. The products of nanoparticles depended strongly on the initial OH − concentration. Due to the hierarchical and anisotropic structure and electron-rich components of wood, pure copper nanoparticles with high stability were synthesized with fcc structure and uniform sizes and then assembled into corncob-like copper deposits along the wood cell lumina. The optical properties, antibacterial properties, and stability of the hybrid wood materials were also tested. The crystal structure and morphologies of the copper nanoparticles were characterized by X-ray diffraction and field emission scanning electron microscopy. In this study, pure copper nanoparticles were synthesized using poplar wood as a natural inexpensive and renewable template. The inherent sophisticated structure of wood inspires researchers to use it as a natural template for synthesizing functional nanoparticles. ![]()
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