研究目的
Investigating the synthesis and plasmonic properties of bimetallic plasmonic Au@Ag core@shell nanoparticles using a water-in-oil microemulsion as a nanoreactor.
研究成果
The study successfully demonstrated a facile and efficient approach for the synthesis of Au@Ag core@shell nanoparticles using W/O ME as nanoreactors. The nanoparticles exhibited unique plasmonic properties, including dipolar and quadrupolar LSPR modes, attributed to the coupling of localized surface plasmons of the Au core and Ag shell. The electron transfer phenomenon between the core and shell was elucidated, providing insights into the enhanced stability and optical properties of the nanoparticles.
研究不足
The study focuses on the synthesis and characterization of Au@Ag core@shell nanoparticles but does not extensively explore their applications. The stability and scalability of the synthesis method under industrial conditions are not addressed.
1:Experimental Design and Method Selection:
The study employed a water-in-oil (W/O) microemulsion (ME) technique for the synthesis of Au@Ag core@shell nanoparticles. The ME system, composed of Triton X-100, hexanol-1, deionized water, and cyclohexane, acted as a nanoreactor providing a confined and controlled environment for nanoparticle synthesis.
2:Sample Selection and Data Sources:
Au and Ag nanoparticles were synthesized using NaAuCl4 and AgNO3 as precursors, respectively, with NaBH4 as the reducing agent. The synthesis process was monitored using UV-visible spectroscopy, HRTEM, SAED, FESEM-EDS, DLS, and PXRD.
3:List of Experimental Equipment and Materials:
High-resolution transmission electron microscope (JEOL JEM 2100 HRTEM), field emission scanning electron microscope (JSM-7600F), Zetasizer Nano ZS90 (Malvern instruments Ltd.), X-ray powder diffractometer (D8 Advance, Bruker), and Spectro UV-visible double beam spectrophotometer (UVD-500, Labomed).
4:Experimental Procedures and Operational Workflow:
The synthesis involved the preparation of W/O ME, followed by the addition of metal precursors and reducing agent under sonication. The nanoparticles were characterized for size, morphology, and optical properties.
5:Data Analysis Methods:
The data were analyzed using Gaussian function fitting for UV-visible spectra deconvolution, and the crystalline nature was analyzed using PXRD patterns.
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