Kinetics and Surface Composition of Au/Pt Nanoparticles Synthesized in Microemulsion Template Using a Prediction Model

Perez-Alvarez, Jorge and Tojo, Concha and Buceta, David and Lopez-Quintela, M. Arturo (2023) Kinetics and Surface Composition of Au/Pt Nanoparticles Synthesized in Microemulsion Template Using a Prediction Model. In: Advances and Challenges in Science and Technology Vol. 3. B P International, pp. 113-138. ISBN 978-81-19761-05-0

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Abstract

The objective of this study is producing tailor-made Au/Pt nanoparticles. The presence of Au on the surface of Au/Pt nanocatalysts has been shown to improve the Pt catalytic activity. That is why the ability to exert control over surface composition is key to improve catalysts efficiency of bimetallic nanoparticles. A computer simulation study was carried out in order to comprehend how the resulting surface can be modified by the simple strategy of varying Au:Pt ratio. We present an in-depth kinetic simulation study on the influence of Au:Pt ratio on the formation of Au/Pt nanoparticles synthetized in microemulsions. The resulting nanostructures and surface compositions are explained as a function of kinetic parameters such as Au:Pt ratio, concentration and intermicellar exchange rate. It should be stressed that the compartmentalization of the reaction medium play a fundamental role in the synthesis because micelles act as dosing pump of the faster precursor metal (Au). It allows us to explain that a higher Au precursor amount in feeding solution results in a Au reduction which takes place over a longer period of time. As a result, Au is deposited until longer stages of the synthesis, so that Au is present at nanoparticle surface. Micelles as reaction media produces a minor impact on Pt due to its slower reduction. By adjusting the Au:Pt ratio, it is possible to create surfaces with specific compositions based on the distinct kinetic behaviors of Au and Pt. The conclusions on the degree of atomic mixing under varied Au:Pt ratios are further supported by numerical results on surface composition, which correctly mirror experimental data.

Item Type: Book Section
Subjects: Apsci Archives > Multidisciplinary
Depositing User: Unnamed user with email support@apsciarchives.com
Date Deposited: 29 Sep 2023 06:21
Last Modified: 29 Sep 2023 06:21
URI: http://eprints.go2submission.com/id/eprint/1794

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