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Get Free AccessThe modern development of nanotechnology requires the discovery of simple approaches that ensure the controlled formation of functional nanostructures with a predetermined morphology. One of the simplest approaches is the self-assembly of nanostructures. The widespread implementation of self-assembly is limited by the complexity of controlled processes in a large volume where, due to the temperature, ion concentration, and other thermodynamics factors, local changes in diffusion-limited processes may occur, leading to unexpected nanostructure growth. The easiest ways to control the diffusion-limited processes are spatial limitation and localized growth of nanostructures in a porous matrix. In this paper, we propose to apply the method of controlled self-assembly of gold nanostructures in a limited pore volume of a silicon oxide matrix with submicron pore sizes. A detailed study of achieved gold nanostructures' morphology, microstructure, and surface composition at different formation stages is carried out to understand the peculiarities of realized nanostructures. Based on the obtained results, a mechanism for the growth of gold nanostructures in a limited volume, which can be used for the controlled formation of nanostructures with a predetermined geometry and composition, has been proposed. The results observed in the present study can be useful for the design of plasmonic-active surfaces for surface-enhanced Raman spectroscopy-based detection of ultra-low concentration of different chemical or biological analytes, where the size of the localized gold nanostructures is comparable with the spot area of the focused laser beam.
Dzmitry Yakimchuk, Victoria Bundyukova, Jon Ustarroz, Herman Terryn, Kitty Baert, Аrtem L. Kozlovskiy, Maxim V. Zdorovets, Soslan A. Khubezhov, А.В. Труханов, С. В. Труханов, L.V. Panina, Grigory Arzumanyan, К. З. Маматкулов, Д.И. Тишкевич, Egor Kaniukov, Владимир Сиваков (2020). Morphology and Microstructure Evolution of Gold Nanostructures in the Limited Volume Porous Matrices. Sensors, 20(16), pp. 4397-4397, DOI: 10.3390/s20164397.
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Type
Article
Year
2020
Authors
16
Datasets
0
Total Files
0
Language
English
Journal
Sensors
DOI
10.3390/s20164397
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