2024
DOI: 10.1038/s41467-024-46496-1
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Interrogating site dependent kinetics over SiO2-supported Pt nanoparticles

Taek-Seung Kim,
Christopher R. O’Connor,
Christian Reece

Abstract: A detailed knowledge of reaction kinetics is key to the development of new more efficient heterogeneous catalytic processes. However, the ability to resolve site dependent kinetics has been largely limited to surface science experiments on model systems. Herein, we can bypass the pressure, materials, and temperature gaps, resolving and quantifying two distinct pathways for CO oxidation over SiO2-supported 2 nm Pt nanoparticles using transient pressure pulse experiments. We find that the pathway distribution di… Show more

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Cited by 5 publications
(13 citation statements)
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“…The modelling of the TAP experiments uses Multi-Zone TAP Reactor Theory 32,33 (MZTRT) coupled with our previously published 3-pathway reaction model for CO oxidation over 2 nm Pt nanoparticles. 22 The one-dimensional MZTRT model has been proven to be valid for our given reactor setup with a reactor L / R (length/radius) > 3.5, no pre-volume, and an idealised vacuum at the reactor exit. 31,34,35 The MATLAB script used to perform the simulation and curve fitting is provided in our previous publication, 22 with the model regression performed using the lsqcurve fit function and the 95% confidence intervals estimated using the nlparci function.…”
Section: Methodsmentioning
confidence: 82%
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“…The modelling of the TAP experiments uses Multi-Zone TAP Reactor Theory 32,33 (MZTRT) coupled with our previously published 3-pathway reaction model for CO oxidation over 2 nm Pt nanoparticles. 22 The one-dimensional MZTRT model has been proven to be valid for our given reactor setup with a reactor L / R (length/radius) > 3.5, no pre-volume, and an idealised vacuum at the reactor exit. 31,34,35 The MATLAB script used to perform the simulation and curve fitting is provided in our previous publication, 22 with the model regression performed using the lsqcurve fit function and the 95% confidence intervals estimated using the nlparci function.…”
Section: Methodsmentioning
confidence: 82%
“…22 The one-dimensional MZTRT model has been proven to be valid for our given reactor setup with a reactor L / R (length/radius) > 3.5, no pre-volume, and an idealised vacuum at the reactor exit. 31,34,35 The MATLAB script used to perform the simulation and curve fitting is provided in our previous publication, 22 with the model regression performed using the lsqcurve fit function and the 95% confidence intervals estimated using the nlparci function. The data is reported as inlet normalised exit flux, where the exit flux curves are normalised to the amount of reactant (or inert in the case of Ar) pulsed into the reactor.…”
Section: Methodsmentioning
confidence: 82%
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