Morphology and Microstructure Evolution of Gold Nanostructures in the Limited Volume Porous Matrices
par Yakimchuk, Dzmitry D.V.;Bundyukova, Victoria V.D.;Ustarroz Troyano, Jon ;Terryn, Herman ;Baert, Kitty;Kozlovskiy, A.L.;Zdorovets, Maxim M.V.;Khubezhov, Soslan S.A.;Trukhanov, Alex A.V.;Trukhanov, Sergei Valentinovich;Panina, Larissa L.V.;Arzumanyan, Grigory G.M.;Mamatkulov, Kahramon K.Z.;Tishkevich, D.I.;Kaniukov, Egor E.Y.;Sivakov, Vladimir
Référence Sensors, 20, 16
Publication Publié, 2020-08
Référence Sensors, 20, 16
Publication Publié, 2020-08
Article révisé par les pairs
Résumé : | The 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. |